Готові списки джерел за темами / Psychophysiological state

Добірка наукової літератури з теми "Psychophysiological state"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Psychophysiological state"

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Shchelkanova, E. S. "Rapid noncontact diagnostics of psychophysiological state in workers of hazardous industries." Medicо-Biological and Socio-Psychological Problems of Safety in Emergency Situations, no. 2 (June 22, 2019): 111–20. http://dx.doi.org/10.25016/2541-7487-2019-0-2-111-120.

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Анотація:
Relevance. Improvement of the medico-psycho-physiological support of professional activity of employees of hazardous production facilities is associated with the development of methods for rapid diagnostics of psycho-physiological state in order to significantly reduce examination time. In particular, vibration imaging takes only one minute. Currently, there are no quantitative criteria for assessing the psychophysiological state based on vibration imaging in employees involved in hazardous work at the stages of periodic, pre-shift medical examinations and training.Intention. Development of non-contact rapid diagnostics of psychophysiological status of employees involved in hazardous work based on vibration imaging parameters for periodic and pre-shift medical examinations, and assessing their current state during training.Methodology. The object of the study was the psychophysiological state of employees of the temporary storage of spent nuclear fuel and radioactive waste at the stages of periodic and pre-shift medical examination, as well as during training. The subject of the study is assessment of relationship of indicators of psychophysiological state with the parameters of vibration imaging.Results and Discussion. According to comprehensive tests with the use of regulated and non-contact methods of assessing psychophysiological state of the workers of hazardous facilities, the parameters of vibration imaging reflect the systemic response of the body. Using the developed criterion of the rapid diagnostics of psychophysiological state at the stage of periodic medical examinations, it takes 1 minute to identify persons with psychophysiological disorders. For the stage of pre-shift medical examinations, a criterion has been developed to make a decision on admission/non-admission to work. The obtained criterion helps to quantify the psychophysiological “price” of training activities in order to optimize their regimens based on the current psychophysiological state as assessed via vibration image parameters.Conclusion. The developed criteria for rapid diagnostics of psychophysiological status, if introduced in scientific-practical activities, will help to monitor the psychophysiological adaptation of workers of hazardous facilities in order to maintain their occupational health and minimize anthropogenic risks.
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2

Tereshchenko, V. I., D. I. Frankiv, and L. A. Khudoliy. "The influence of motivation on the psychophysiological state of a person." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 6(137) (June 22, 2021): 101–5. http://dx.doi.org/10.31392/npu-nc.series15.2021.6(137).24.

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Анотація:
The influence of motivation on psychophysiological states of a person is investigated. It is established that motivation is a psychological process that controls human behavior. Motivation is a guiding tool of the individual in the process of achieving goals. At different stages of motivation a person has different psychophysiological states. There are six stages of motivation: 1. The emergence of needs; 2. Finding ways to eliminate the need; 3. Defining goals; 4. Implementation of the action; 5. Receiving reward for the action; 6. Elimination of needs. Psychophysiological state can be called the physiological level of mental state with special energy features. There is a classification of psychophysiological states: neutral (calm, confidence, etc.); activation (excitement, inspiration, rise, concentration, etc.); tonic, those states that reflect the resources of forces (satiety, fatigue, monotony, etc.); tension, showing what level of effort should be applied to the person (tension, stress, sensory hunger, etc.). Thus, in the process of achieving goals, motivation is an important component. Knowing the effect of motivation on a person's psychophysiological states will help him to use this tool in the best way. A survey of 200 people was conducted to help determine what psychophysiological states occur at different stages of motivation. After analyzing the results of the study, it was found that most often in the process of motivation in humans there are activating psychophysiological states, then tension and rarely tonic. When processing the results at each stage of motivation, three psychophysiological states were taken, which the subjects chose more often. It was found that activating psychophysiological states are more common in the first five stages of motivation, tension psychophysiological states are more common in the second, third, fourth and sixth stages of motivation, tonic psychophysiological states occur in the sixth stage of motivation.
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3

Kovaleva, A., A. Kvitchasty, and V. Anisimov. "PSYCHOPHYSIOLOGICAL INDICATORS OF FLOW STATE." Human Sport Medicine 20, no. 2 (July 13, 2020): 47–52. http://dx.doi.org/10.14529/hsm200206.

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Анотація:
Aim. The study aims to reveal objective psychophysiological indicators that are related to flow state. Materials and methods. Thirty-one (31) athletes of different competitive levels (20 females and 11 males, mean age 19.1 ± 4.59 years) participated in the study. The dynavision D2 training device was applied for creating optimal flow state conditions during the experiment. Physiological indicators were recorded by the Thought Technology hardware and software system. Heart rate variability, respiration rate (thoracic and abdominal), finger temperature, skin conductance were analyzed. Flow state depth was estimated based on the participants’ answers during the semi-structured interview that followed the experiment. Results. According to the results of the interview, all athletes were divided into two groups: the first group included athletes experiencing flow state (“flow” group), the second group composed of athletes who did not manage to experience flow state (“no-flow” group). When comparing these two groups after the experiment, it was revealed that the first group had higher levels of standard deviations of heart rate compared with the second group. In the first group (flow), the following indicators were significantly higher after the experiment: standard deviation of the RR-intervals (SDRR), skin conductance, and finger temperature. In the second group (no-flow), only skin conductance increased significantly. Conclusion. The results allow us to conclude that the flow state is characterized by a marked increase in the sympathetic nervous system (a higher level of stress compared to the same activity without flow).
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4

Nagashima, Keiko, Shihori Aoki, Yoshiaki Hayasaka, Kiyoyuki Yamazaki, and Katsuro Okamoto. "Psychophysiological study of hyper-arousal state." Japanese journal of ergonomics 35, no. 1Supplement (1999): 73. http://dx.doi.org/10.5100/jje.35.1supplement_73.

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5

Suzuki, Tatsuhiko, Shihori Aoki, Yoshiaki Hayasaka, Tomokazu Kawamura, Kiyoyuki Yamazaki, and Katsuro Okamoto. "Psychophysiological study of hyper-arousal state." Japanese journal of ergonomics 35, no. 1Supplement (1999): 73a. http://dx.doi.org/10.5100/jje.35.1supplement_73a.

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6

Kalnysh, V. V., I. S. Trinka, S. M. Pashkovsky, N. V. Koval, V. K. Tyshchenko, and O. V. Bomk. "Transformation of psychophysiological characteristics in practically healthy and patients with hypertension of the I stage military pilots. Message II. Hidden factors that affect the formation of the ability of pilots with different health conditions." Reports of Vinnytsia National Medical University 25, no. 4 (November 30, 2021): 628–34. http://dx.doi.org/10.31393/reports-vnmedical-2021-25(4)-21.

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Анотація:
Annotation. The article is devoted to the study of the peculiarities of the transformation of professionally important psychophysiological qualities of military pilots who are practically healthy and patients with stage I hypertension. The article highlights the hidden factors that contribute to the performance of a military pilot. These factors make it possible to explain the peculiarities of the mechanisms of organization of working capacity in practically healthy and patients with hypertension and stage I military pilots. Special decision-making rules have been developed, which make it possible to state that even small changes in the state of health that occur during the development of stage I hypertension are appropriately reflected in the level of psychophysiological functions on the basis of which it is possible to distinguish with a probability of 77.5%. The degree of connection between the state of health of military pilots and the level of their psychophysiological characteristics was assessed. Recommendations for taking into account cognitive changes in pilots of patients with stage I hypertension have been developed. It is established that stage I hypertension affects the structure of correlations of psychophysiological functions of the body, which shows the difference in the mechanisms of regulation of these functions in the development of the disease. It is shown that even practically healthy military pilots have different levels of mental capacity and can show their psychophysiological qualities in different ways, especially in extreme conditions. In addition, it was found that hypertension makes about a third of the surveyed sick pilots more active, which, in turn, increases the physiological cost of professional activities, to reduce which requires periodic treatment and prevention and rehabilitation measures.
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7

Ivanovsky, V. S., E. S. Shchelkanova, and I. V. Markin. "Psychophysiological Express Control of Persons of Hazardous Occupations Operating Weapons Systems." Disaster Medicine, no. 1 (February 2021): 45–50. http://dx.doi.org/10.33266/2070-1004-2021-1-45-50.

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Анотація:
The article presents the relevance of the development of methods for rapid control of the psychophysiological state of persons of hazardous occupations (OP), managing weapons systems, and the tasks solved with their help. The issues of improving the system of psychophysiological support of the professional activities of military operators in order to increase their professional reliability and preserve professional health are considered. The technology of vibration imaging is described, which makes it possible to assess the psychophysiological state without contact and quickly (testing time – 1 min). Examples of its practical application in training and pre-shift psychophysiological control are given.
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8

Ilyin, V. N., M. M. Filippov, A. S. Rovniy, A. Alwani, and S. B. Koval. "Psychophysiological state of athletes with chronic fatigue." CHERKASY UNIVERSITY BULLETIN: BIOLOGICAL SCIENCES SERIES, no. 1 (2018): 32–38. http://dx.doi.org/10.31651/2076-5835-2018-1-1-32-38.

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9

Reznikova, T. N., I. U. Terent'eva, N. A. Seliverstova, V. I. Semivolos, and G. V. Kataeva. "Anxiety as an indicator of psychophysiological state." International Journal of Psychophysiology 69, no. 3 (September 2008): 303. http://dx.doi.org/10.1016/j.ijpsycho.2008.05.303.

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Podevijn, Gaëtan, Rehan O’Grady, Carole Fantini-Hauwel, and Marco Dorigo. "Investigating the effect of the reality gap on the human psychophysiological state in the context of human-swarm interaction." PeerJ Computer Science 2 (September 19, 2016): e82. http://dx.doi.org/10.7717/peerj-cs.82.

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Анотація:
The reality gap is the discrepancy between simulation and reality—the same behavioural algorithm results in different robot swarm behaviours in simulation and in reality (with real robots). In this paper, we study the effect of the reality gap on the psychophysiological reactions of humans interacting with a robot swarm. We compare the psychophysiological reactions of 28 participants interacting with a simulated robot swarm and with a real (non-simulated) robot swarm. Our results show that a real robot swarm provokes stronger reactions in our participants than a simulated robot swarm. We also investigate how to mitigate the effect of the reality gap (i.e., how to diminish the difference in the psychophysiological reactions between reality and simulation) by comparing psychophysiological reactions in simulation displayed on a computer screen and psychophysiological reactions in simulation displayed in virtual reality. Our results show that our participants tend to have stronger psychophysiological reactions in simulation displayed in virtual reality (suggesting a potential way of diminishing the effect of the reality gap).
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Більше джерел

Дисертації з теми "Psychophysiological state"

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Wusk, Grace Caroline. "Psychophysiological Monitoring of Crew State for Extravehicular Activity." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103386.

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Анотація:
A spacewalk, or extravehicular activity (EVA), is one of the most mission critical and physically and cognitively challenging tasks that crewmembers complete. With next-generation missions to the Moon and Mars, exploration EVA will challenge crewmembers in partial gravity environments with increased frequency, duration, and autonomy of operations. Given the distance from Earth, associated communication delays, and durations of exploration missions, there is a monumental shift in responsibility and authority taking place in spaceflight; moving from Earth-dependent to crew self-reliant. For the safety, efficacy, and efficiency of future surface EVAs, there is a need to better understand crew health and performance. With this knowledge, technology and operations can be designed to better support future crew autonomy. The focus of this dissertation is to develop and evaluate a psychophysiological monitoring tool to classify cognitive workload during an operationally relevant EVA task. This was completed by compiling a sensor suite of commercial wearable devices to record physiological signals in two human research studies, one at Virginia Tech and one at NASA Johnson Space Center. The approach employs supervised machine learning to recognize patterns in psychophysiological features across different psychological states. This relies on the ability to simulate, or induce, cognitive workload in order to label data for training the model. A virtual reality (VR) Translation Task was developed to control and quantify cognitive demands during an immersive, ambulatory EVA scenario. Participants walked on a passive treadmill while wearing a VR headset to move along a virtual lunar surface. They walked with constraints on time and resources, while simultaneously identifying and recalling waypoints in the scene. Psychophysiological features were extracted and labeled according to the task demands, i.e. high or low cognitive workload, for the novel Translation Task, as well as for the benchmark Multi-Attribute Task Battery (MATB). Predictive models were created using the K Nearest Neighbor (KNN) algorithm. The contributions of this dissertation span the simulation, characterization, and modeling of cognitive state. Ultimately, this work tests the limits of extending laboratory psychophysiological monitoring to more realistic environments using wearable devices, and of generalizing predictive models across participants, times, and tasks. This work paves the way for future field studies and real-time implementation to close the loop between human and automation.
Doctor of Philosophy
A spacewalk is one of the most important and physically and mentally challenging tasks that astronauts complete. With next-generation missions to the Moon and Mars, exploration spacewalks will challenge astronauts in reduced-weight environments (1/6 and 1/3 Earth's gravity) with longer, more frequent spacewalks and with less help from mission control. To keep astronauts safe while exploring there is a need to better understand astronaut health and performance (physical and mental) during spacewalks. With knowledge of how astronauts will respond to high workload and stressful events, we can plan missions and design tools that can best assist them during spacewalks on the Moon and Mars when help from Earth mission control is limited. Traditional tools of quantifying mental state are not suitable for real-time assessment during spacewalks. Current methods, including subjective surveys and performance-based computer tests, require time and attention to complete and cannot assess real-time operations. The focus of this dissertation is to create a psychophysiological monitoring tool to measure mental workload during a virtual reality (VR) spacewalk. Psychophysiological monitoring uses physiological measures, like heart rate and breathing rate, to predict psychological state, like high workload or stress. Physiological signals were recorded using commercial wearable devices in two human research studies, one at Virginia Tech and one at NASA Johnson Space Center. With machine learning, computer models can be trained to recognize patterns in physiological measures for different psychological states. Once a model is trained, it can be tested on new data to predict mental workload. To train and test the models, participants in the studies completed high and low workload versions of the VR task. The VR task was specifically designed for this study to simulate and measure performance during a mentally-challenging spacewalk scenario. The participants walked at their own pace on a treadmill while wearing a VR headset to move along a virtual lunar surface, while balancing their time and resources. They were also responsible for identifying and recalling flags along their virtual path. Ultimately, this work tests the limits of extending laboratory psychophysiological monitoring to more realistic environments using wearable devices, and of generalizing predictive models across participants, times, and tasks. This work paves the way for future field studies and real-time implementation to close the loop between human and automation.
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2

Kuroda, Yusuke. "Metamotivational dominance and state in relation to psychophysiological response during exercise." Thesis, Aberystwyth University, 2009. http://hdl.handle.net/2160/caebd8a2-077b-49b1-a9bb-06ecd11c0dfe.

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Анотація:
Reversal theory (Apter, 1982) is a psychological theory of motivation, emotion, and personality that purports to explain human behaviour as well as experience. In 1999 Svebak proposed a triangular relationship between metamotivational dominance, sport preference and biological composition among elite athletes using a reversal theory framework. Svebak’s proposition would suggest that when three of these components match (e.g., telic dominant individual with slow-twitch muscle fibre predominance who participates in endurance activities), they have a higher probability of success, and of optimizing the joy of participating. However, this proposition has only been examined in elite athletes (Braathen & Svebak, 1990). The purpose of the present research was to examine whether components of Svebak’s triangular relationship could be demonstrated in the general population and to examine the relationships between dominance, state and physical performance. A series of four studies were conducted with subjects purposely sampled and allocated to telic and paratelic groups from a pool of individuals who initially completed the Paratelic Dominance Scale (PDS; Cook & Gerkovich, 1993). Subjects who scored higher than one standard deviation above the mean were classified as the paratelic dominant (PD), while those who scored lower than one standard deviation below the mean were classified as the telic dominant (TD) (Gerkovich, Cook, Hoffman, & O’Connell, 1998). Age, sex, preferred sports/exercise activity and frequency of exercise per week were recorded for each subject. In each study, state was manipulated via video stimuli into telic and paratelic in a crossover design before completing an exercise task, the subjects continued to watch the video stimuli for the duration of the exercise. Manipulation checks indicated that the video stimulus was successful in changing state. The Telic State Measure (TSM; Svebak & Murgatroyd, 1985) and Tension and Effort Stress Inventory (TESI; Svebak, 1993) were completed during each of the studies. The exercise performed in each study varied with 5 s isometric leg extension used in Study 1; 100 repetition isokinetic leg extensions in Study 2; 30 s Wingate test in Study 3 and ramped peak test in Study 4. Exercise preference in all four studies indicated that telic dominant individuals preferred endurance exercise activities, while paratelic dominant individuals preferred explosive exercise activities, supporting previous research (Cogan & Brown, 1999; Kerr, 1991; Kerr & Svebak, 1989; Svebak & Kerr, 1989). Physiological responses (EMG and HR for Studies 1 and 2; HRV and HR for Studies 3 and 4) showed mixed results. For the Study 1, EMG was employed to examine if either state or dominance influenced neural activation during isometric leg contraction, however no significant differences were found. Study 2, muscle tension was examined using EMG gradients during isokinetic leg exercise with results indicating dominance determining EMG gradients rather than state (gradients present in telic dominant individuals). HRV has never been investigated previously in relation to reversal theory. In both Studies 3 and 4 the majority of HRV components decreased after exercise as a result of vagal withdrawal. When examining metamotivational dominance/state and HRV variables, changes showed no statistical significance in both studies, but responses in HRV variables were observed in relation to differences between metamotivational dominance/state suggesting a need for further studies. Heart rate was measured in all four studies and results were consistent with telic dominant individuals having a lower resting heart rate. No significant differences were found between metamotivational dominance in relation to performance. However, across all four studies there was a tendency for paratelic dominant individuals to perform better during explosive/power activities while telic dominant individuals performed better during endurance activities, both groups tended to perform better in their preferred state. There was a strong tendency for telic dominant individuals to report higher levels of stress than the paratelic dominant individuals regardless of the state condition. State effects were observed for some of somatic emotions (i.e., excitement, relaxation, boredom and anxiety), while other emotions showed time effects due to the results of exercise in all four studies. Generally, both telic and paratelic dominant individuals were more excited and less bored at post-exercise; and telic dominant individuals were more anxious throughout the course of experiment. The present research has made contributions to reversal theory research by supporting previous findings in exercise preference and resting heart rates, and presenting new data on changes in stress and emotions in telic/paratelic state conditions during exercise. Furthermore, muscle tension, as indicated by EMG gradients, has been observed relative to state and HRV has been measured for the first time in relation to reversal theory, indicating possible links between HRV and metamotivational dominance/state. Methodological issues such as state manipulation and dominant group selection have contributed to the reversal theory research. The data provide some support for Svebak’s proposed triangular relationships among general populations.
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3

Cannon, Jordan. "Statistical analysis and algorithms for online change detection in real-time psychophysiological data." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/342.

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Анотація:
Modern systems produce a great amount of information and cues from which human operators must take action. On one hand, these complex systems can place a high demand on an operator's cognitive load, potentially overwhelming them and causing poor performance. On the other hand, some systems utilize extensive automation to accommodate their complexity; this can cause an operator to become complacent and inattentive, which again leads to deteriorated performance (Wilson, Russell, 2003a; Wilson, Russell, 2003b). An ideal human-machine interface would be one that optimizes the functional state of the operator, preventing overload while not permitting complacency, thus resulting in improved system performance. An operator's functional state (OFS) is the momentary ability of an operator to meet task demands with their cognitive resources. A high OFS indicates that an operator is vigilant and aware, with ample cognitive resources to achieve satisfactory performance. A low OFS, however, indicates a non-optimal cognitive load, either too much or too little, resulting in sub-par system performance (Wilson, Russell, 1999). With the ability to measure and detect changes in OFS in real-time, a closed-loop system between the operator and machine could optimize OFS through the dynamic allocation of tasks. For instance, if the system detects the operator is in cognitive overload, it can automate certain tasks allowing them to better focus on salient information. Conversely, if the system detects under-vigilance, it can allocate tasks back to the manual control of the operator. In essence, this system operates to "dynamically match task demands to [an] operator's momentary cognitive state", thereby achieving optimal OFS (Wilson, Russell, 2007). This concept is termed adaptive aiding and has been the subject of much research, with recent emphasis on accurately assessing OFS in real-time. OFS is commonly measured indirectly, like using overt performance metrics on tasks; if performance is declining, a low OFS is assumed. Another indirect measure is the subjective estimate of mental workload, where an operator narrates his/her perceived functional state while performing tasks (Wilson, Russell, 2007). Unfortunately, indirect measures of OFS are often infeasible in operational settings; performance metrics are difficult to construct for highly-automated complex systems, and subjective workload estimates are often inaccurate and intrusive (Wilson, Russell, 2007; Prinzel et al., 2000; Smith et al., 2001). OFS can be more directly measured via psychophysiological signals such as electroencephalogram (EEG) and electrooculography (EOG). Current research has demonstrated these signals' ability to respond to changing cognitive load and to measure OFS (Wilson, Fisher, 1991; Wilson, Fisher, 1995; Gevins et al., 1997; Gevins et al., 1998; Byrne, Parasuraman, 1996). Moreover, psychophysiological signals are continuously available and can be obtained in a non-intrusive manner, pre-requisite for their use in operational environments. The objective of this study is to advance schemes which detect change in OFS by monitoring psychophysiological signals in real-time. Reviews on similar methods can be found in, e.g., Wilson and Russell (2003a) and Wilson and Russell (2007). Many of these methods employ pattern recognition to classify mental workload into one of several discrete categories. For instance, given an experiment with easy, medium and hard tasks, and assuming the tasks induce varying degrees of mental workload on a subject, these methods classify which task is being performed for each epoch of psychophysiological data. The most common classifiers are artificial neural networks (ANN) and multivariate statistical techniques such as stepwise discriminant analysis (SWDA). ANNs have proved especially effective at classifying OFS as they account for the non-linear and higher order relationships often present in EEG/EOG data; they routinely achieve classification accuracy greater than 80%. However, the discrete output of these classification schemes is not conducive to real-time change detection. They accurately classify OFS, but they do not indicate when OFS has changed; the change points remain ambiguous and left to subjective interpretation. Thus, the present study introduces several online algorithms which objectively determine change in OFS via real-time psychophysiological signals. The following chapters describe the dataset evaluated, discuss the statistical properties of psychophysiological signals, and detail various algorithms which utilize these signals to detect real-time changes in OFS. The results of the algorithms are presented along with a discussion. Finally, the study is concluded with a comparison of each method and recommendations for future application.
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4

Thrall, Graham. "Psychosocial and psychophysiological characteristics of atrial fibrillation patients and their influence on the prothrombotic state and prognosis." Thesis, University of Birmingham, 2006. http://etheses.bham.ac.uk//id/eprint/246/.

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Анотація:
The purpose of this thesis was to (1) examine the psychological morbidity associated with atrial fibrillation (AF), and (2) determine the effects of acute mental and postural stress, and hydration status on indices haemorhelogy, endothelial function, and platelet reactivity. Symptoms of depression (BDI scores > 10) persisted in 38% of patients with AF, with elevated state and trait anxiety (STAI score >40) being reported in 28% and 38% of patients, respectively. No significant differences in depression, state anxiety, and QoL were observed between AF and hypertensive patients; however, AF patients displayed higher levels of trait anxiety. Multiple regression analysis demonstrated baseline depression scores provided the best independent prediction of future QoL. Acute mental and postural stress yielded significant changes in haemodynamics and haemorhelogy, in addition to increasing biomarkers of endothelial dysfunction and platelet reactivity. Increased hydration status reduced blood pressure and markers of endothelial perturbation and platelet morphology both at rest and in response to the stress tasks. In conclusion, AF patients display comparable levels of depression and anxiety to patients following a myocardial infarction. In addition, behavioural activities such as mental and postural stress may implicated in the pathogenesis of acute coronary syndromes through the development of a prothrombotic state.
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Jurosic, Brianna K. "The Effectiveness of Psychophysiological Relaxation Techniques in Reducing State Anxiety Directed Towards Academic Performance in College Students." Ashland University Honors Theses / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=auhonors1607005364655131.

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Marques, Daniel Ruivo. "The hyperarousal hypothesis in psychophysiological insomnia: study of default-mode network and its modification after CBT." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16787.

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Анотація:
Doutoramento em Psicologia
A insónia primária é a perturbação do comportamento de sono mais prevalente quer na população clínica quer na comunidade. Uma das formas mais comuns é a insónia psicofisiológica (IP). A hiperativação neuropsicofisiológica, afetiva, cognitiva e comportamental assim como o condicionamento mal-adaptativo entre estímulos associados ao sono e à cama com estímulos indutores de ativação são duas das características mais diferenciadoras desta patologia. Tendo por base a importância que esta perturbação assume em termos de saúde pública, levou-se a cabo 4 estudos empíricos com recurso a ressonância magnética funcional: No primeiro estudo comparou-se a ativação neurobiológica entre um grupo de doentes com IP (n=5) e um grupo de indivíduos saudáveis (n=5) emparelhado quanto ao sexo e à idade quando eram confrontados com palavras que remetiam para preocupações do passado/presente, preocupações do futuro e palavras neutras; no segundo estudo, explorou-se as diferenças na ativação referente à default-mode network (DMN) e outras resting-states nos mesmos grupos do estudo 1; no terceiro e quarto estudos, repetiram-se os mesmos procedimentos para um grupo clínico (N=2) após estes terem sido submetidos a terapia cognitivo-comportamental para a insónia (TCC-I). No geral, verificou-se que os doentes com IP exibiram um padrão generalizado de hiperativação em áreas associadas à DMN quer quando confrontados com estímulos ativadores quer em repouso; em termos de ativação nas resting-states, constatou-se que, em repouso, o grupo clínico apresentou disfunções significativas. Após TCC-I, observou-se que os indicadores disfuncionais verificados nos estudos anteriores se esbateram tendendo a aproximar-se do perfil de ativação dos indivíduos saudáveis. Os resultados obtidos reforçam assim a ideia da hiperativação na insónia ao longo das 24 horas do dia assim como do papel fundamental que a ativação cognitiva parece ter na etiopatogenia e no tratamento da insónia. Para além disso, este trabalho contribui para um melhor entendimento da neurobiologia da insónia e sugere que se podem identificar mecanismos neuronais subjacentes às modificações operadas pela TCC-I.
Primary Insomnia is the more prevalent sleep disorder both in clinical and community samples. One of the most frequent subtypes is psychophysiological insomnia (PI). The hyperarousal at different levels – biological, affective, cognitive, and behavioral – and the maladaptive conditioning between sleep-related stimuli and arousal are two major features of PI. Since this is a disorder which assumes an important role in public health, we performed 4 empirical studies recurring to fMRI: In the first study, we compared neurobiological activation between a group of PI patients (n=5) and a sex- and age-matched control group (n=5) when they were exposed to words concerning to past/present worries, future worries and neutral words; in the second study, we explored the activity of default-mode network (DMN) and other brain resting-states in the same groups as study 1; in the third and fourth studies, we repeated both experiments in a clinical group of patients with PI (N=2) after they underwent cognitive-behavioral therapy for insomnia (CBT-I). In general, it was observed that PI patients exhibited a generalized pattern of hyperarousal in several brain areas associated with DMN when they were confronted with affective stimuli and when they were resting in the fMRI scanner. In terms of activation of brain resting networks, we observed that the clinical group presented significant dysfunctions. After CBT-I, it was detected that the dysfunctional indicators observed in previous studies normalize, approaching the activation patterns typical of healthy individuals. The obtained results enhance the idea that the hyperarousal in PI is present during the 24-hours of the day; besides, the key role that cognitive arousal may be in the etiology and therapy of insomnia is also highlighted. In conclusion, this work contributes to a better understanding of neurobiology of insomnia and suggests that it might be possible to identify neural mechanisms underlying modifications accounted by CBT-I.
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Кущ, Віталій Сергійович. "Метод підбору та виявлення впливів релаксуючих картин для коригування психофізіологічного стану людини". Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/39383.

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Робота містить 70 сторінок, 25 рисунківта 19 таблиць. Було використано 12 джерел. Мета роботи: підвищити швидкість та ефективність дослідження та коригування психофізіологічного стану людини за рахунок розробки методу підбору та виявлення впливів релаксуючих картин для коригування психофізіологічного стану людини. Проведено огляд основних положень проведення досліджень, збору даних та коригування психофізіологічного стану людини. Описано основні проблеми обробки зібраних даних для аналізу, підбору релаксуючих картин та визначено необхідність у розробці методів для підбору та визначення впливів на психофізіологічний стан релаксуючих картин. Запропоновано метод підбору релаксуючих картин для коригування психофізіологічного стану людини на основі нейронних мереж. Застосування запропонованого методу дозволяє подати на вхід набір параметрів: кольорову преференцію, день народжень, суб’єктивні відчуття та отримати на виході релаксуючу картину для проведення сеансів коригування психофізіологічного стану. Запропоновано метод виявлення впливів на психофізіологічний стан людини, який дозволяє, за рахунок гнучкого механізму конфігурації побудови графіків, будувати різноманітні параметри дослідження психофізіологічного стану людини та виявляти їх залежності та впливи на людину. Розроблено програмне забезпечення запропонованих методів підбору та виявлення впливів релаксуючих картин на стан людини, яке збільшує ефективність роботи психологів з дослідження психофізіологічного стану людини, за рахунок швидких та точних обчислень. Розроблено стартап-проект програмного забезпечення та проведено аналіз ринку, потенційних клієнтів, з якого видно, що ринок поки вільний від аналогів такого продукту, але має у ньому потребу.
The work contains 70 pages, 25 figures, and 19 tables. 12 sources have been used. Goal: to increase the speed and efficiency of research and adjustment of the psychophysiological state of a person by developing a method of matching and detecting influences of relaxing pictures for human psychophysiological state adjustment. A review of the main provisions of research, data collection, and adjustment of the psychophysiological state of humans. The main problems of processing the collected data for the analysis, matching of relaxing pictures are described and the necessity in the development of methods for matching and detecting influences on a psychophysiological condition of relaxing pictures is defined. A method of matching relaxing pictures for correction of the psychophysiological state of a human on the basis of neural networks is offered. The application of the proposed method allows you to submit a set of parameters: color preference, birthday, favorite color, subjective feelings and get a relaxing picture for sessions to correct the psychophysiological state. A method for detecting influences on the psychophysiological state of a person is proposed, which allows, due to a flexible configuration mechanism for plotting, to build various parameters of research of the psychophysiological state of a person and identify their dependencies and influences on a person. The software of the offered methods of matching and detecting influences of relaxing pictures on a condition of the human which increases the efficiency of work of psychologists on the research of a psychophysiological condition of the person is developed. A software startup project has been developed and an analysis of potential customers and the market has been conducted, which shows that the market is still free from analogs of such a product, but needs it.
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Pandey, Amare Ketsela Tesfaye and Amrit. "Empirical Evaluation of Machine Learning Algorithms based on EMG, ECG and GSR Data to Classify Emotional States." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3673.

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The peripheral psychophysiological signals (EMG, ECG and GSR) of 13 participants were recorded in the well planned Cognition and Robotics lab at BTH University and 9 participants data were taken for further processing. Thirty(30) pictures of IAPS were shown to each participant individually as stimuli, and each picture was displayed for five-second intervals. Signal preprocessing, feature extraction and selection, models, datasets formation and data analysis and interpretation were done. The correlation between a combination of EMG, ECG and GSR signal and emotional states were investigated. 2- Dimensional valence-arousal model was used to represent emotional states. Finally, accuracy comparisons among selected machine learning classification algorithms have performed. Context: Psychophysiological measurement is one of the recent and popular ways to identify emotions when using computers or robots. It can be done using peripheral signals: Electromyography (EMG), Electrocardiography (ECG) and Galvanic Skin Response (GSR). The signals from these measurements are considered as reliable signals and can produce the required data. It is further carried out by preprocessing of data, feature selection and classification. Classification of EMG, ECG and GSR data can be conducted with appropriate machine learning algorithms for better accuracy results. Objectives: In this study, we investigate and analyzed with psychophysiological (EMG, ECG and GSR) data to find best classifier algorithm. Our main objective is to classify those data with appropriate machine learning techniques. Classifications of psychophysiological data are useful in emotion recognition. Therefore, our ultimate goal is to provide validated classified psychological measures for the automated adoption of human robot performance. Methods: We conducted a literature review in order to answer RQ1. The sources used are Inspec/ Compendex, IEEE, ACM Digital Library, Google Scholar and Springer Link. This helps us to identify suitable features required for the classification after reading the articles and papers that are peer reviewed as well as lie relevant to the area. Similarly, this helps us to select appropriate machine learning algorithms. We conducted an experiment in order to answer RQ2 and RQ3. A pilot experiment, then after main experiment was conducted in the Cognition and Robotics lab at the university. An experiment was conducted to take measures from EMG, ECG and GSR signal. Results: We obtained different accuracy results using different sets of datasets. The classification accuracy result was best given by the Support Vector Machine algorithm, which gives up to 59% classified emotional states correctly. Conclusions: The psychophysiological signals are very inconsistent with individual participant for specific emotion. Hence, the result we got from the experiment was higher with a single participant than all participants were together. Although, having large number of instances are good to train the classifier well.
The thesis is focused to classify emotional states from physiological signals. Features extraction and selection of the physiological signal was done, which was used for dataset formation and then classification of those emotional states. IAPS pictures were used to elicit emotional/affective states. Experiment was conducted with 13 participants in cognition and Robotics lab using biosensors EMG, ECG and GSR at BTH University. Nine participants data were taken for further preprocessing. We observed in our thesis the classification of emotions which could be analyzed by a combination of psychophysiological signal as Model A and Model B. Since signals of subjects are different for same emotional state, the accuracy was better for single participant than all participants together. Classification of emotional states is useful for HCI and HRI to manufacture emotional intelligence robot. So, it is essential to provide best classifier algorithms which can be helpful to detect emotions for developing emotional intelligence robots. Our work contribution lies in providing best algorithms for emotion recognition for psychophysiological data and selected features. Most of the results showed that SVM performed best with classification accuracy up to 59 % for single participant and 48.05 % for all participants together. For a single dataset and single participant, we found 60.17 % accuracy from MLP but it consumed more time and memory than other algorithms during classification. The rest of the algorithms like BNT, Naive Bayes, KNN and J48 also gave competitive accuracy to SVM. We conclude that SVM algorithm for emotion recognition from a combination of EMG, ECG and GSR is capable of handling and giving better classification accuracy among others. Tally between IAPS pictures with SAM helped to remove less correlated signals and to obtain better accuracies. Still the obtained results are small in percentage. Therefore, more participants are probably needed to get a better accuracy result over the whole dataset.
amarehenry@gmail.com ; Mobile: 0767042234 amrit.pandey111@gmail.com ; Mobile : 0704763190
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Freeburn, Peter D. "A Few Good Men: Narratives of Racial Discrimination Impacting Male African American/Black Officers in the United States Marine Corps." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/shss_dcar_etd/95.

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In the United States of America (U.S.), institutional marginalization and racial discrimination remains an arguably difficult subject to understand, both conceptually and pragmatically. Regarding governmental sectors, U.S. Armed Forces are institutions where discrimination must be critically explored in an attempt to provide an understanding of the reality faced by those who actually serve. This study involved the examination into racism within a specific elite governmental sector that emphasizes a philosophy of a unified oneness of all its members. Using a phenomenological approach, the study delved into the actual impact of racism within the Marine Corps, on the lives of individual members of a historically marginalized populace, African American/Black. The research explored and analyzed the life stories of three male members of the aforementioned population group, hence seeking to answer the research question: How has Integrated Racial Diversity in the Armed Forces Impacted Experiences of Discrimination Antagonistic to Male African American/Black Marine Corps Officers as Members of a Population Historically Marginalized and Discriminated against in the United States of America? Theories incorporated in the research offered meaning to the experiences of the individual participants. Discoveries illustrated the necessity of adaptation by the individual in coping with the impact of racially charged hostilities in an environment supposedly operating with an objective of oneness of its members. Through the findings, a theory of socio-psycho-bio dissonance was developed by the researcher. This research provides recommendations on practical ways to transformatively address and seek probable resolution in conflict – institutionally.
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Nogueira, Pedro Gonçalo Ferreira Alves. "Emotional State Regulation in Interactive Environments: A Psychophysiological Adaptive Approach for Affect-Inductive Experiences." Tese, 2016. https://hdl.handle.net/10216/91925.

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Книги з теми "Psychophysiological state"

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Shannahoff-Khalsa, David. Psychophysiological states: The ultradian dynamics of mind-body interactions. London: Elsevier Academic Press, 2008.

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Krivoyekov, Syergyey, and Roman Ayzman. Psychophysiology. ru: INFRA-M Academic Publishing LLC., 2015. http://dx.doi.org/10.12737/10884.

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Psychophysiology — the science studying interrelation of mentality of the person and physiological processes. Fundamental knowledge of work of a brain, first of all, of nervous regulation of functions of an organism, the general and specific features of the highest falls within the scope of its interests nervous activity, the defining character and behavior of the person, psychophysiological mechanisms of regulation of functional states. In the book neurophysiological bases of coding and information processing in nervous system, neural mechanisms of feelings, perceptions, memories, training, motivations and emotions, thinking and the speech, attention, consciousness, behavior, mental activity are stated. Separate the section is devoted to physiological bases of mental changes at various functional, extreme and pathophysiological states (a stress, post-stressful frustration, addiktivny states, depressions, etc.) and to ways of their correction. Authors tried to pay special attention to disclosure of specifics of psychophysiology of the person, to difference of physiological mechanisms of regulation of mental functions of the person in comparison with model researches on animals. For simplification of work on discipline and the best digestion of material the textbook is supplied with the glossary. For students, undergraduates, graduate students and teachers of psychological and medical faculties of higher education institutions.
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Murray-Close, Dianna, Nicole L. Breslend, and Leigh Ann Holterman. Psychophysiology Indicators of Relational Aggression. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190491826.003.0009.

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Mounting evidence implicates psychophysiological processes in the development of relational aggression. This review discusses the state of the field regarding associations between physiological stress systems—including the sympathetic nervous system, the parasympathetic nervous system, and the hypothalamic-pituitary-adrenal axis—and relational aggression. The theoretical significance of these processes is discussed, and potential moderators of associations, such as functions of relational aggression, contextual risk, and gender, are considered. Finally, critical next steps in this research area, including the incorporation of additional physiological indicators, are reviewed. This research has the potential to advance our understanding of many of the significant questions in relational aggression research, such as who engages in relational aggression and why, and whether these behaviors result in negative or positive developmental outcomes.
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Psychophysiological States: The Ultradian Dynamics of Mind-Body Interactions. Elsevier, 2007. http://dx.doi.org/10.1016/s0074-7742(07)x8000-0.

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Shannahoff-Khalsa, David S. Psychophysiological States, Volume 80: The Ultradian Dynamics of Mind-Body Interactions (International Review of Neurobiology) (International Review of Neurobiology). Academic Press, 2007.

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Wittmann, Marc, and Karin Meissner. The embodiment of time: How interoception shapes the perception of time. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811930.003.0004.

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Within the framework of the embodiment of time, this chapter presents accumulating evidence of how interoception and associated brain networks process time. Functional MRI studies have shown that climbing neural activation in the posterior insular cortex correlates with stimulus duration in a time-estimation task in the multiple-second range. Given the close connection between the insular cortex and ascending body signals, the authors suggest that the accumulation of physiological changes in body states is the basis for the subjective impression of duration. Psychophysiological findings reveal linearly increasing cardiac periods and decreasing skin-conductance levels during duration-estimation tasks in the multiple-second range. Accordingly, the feeling for the passage of time at the present moment is based on the perception of the bodily self.
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Mendenhall, Emily. Rethinking Diabetes. Cornell University Press, 2019. http://dx.doi.org/10.7591/cornell/9781501738302.001.0001.

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Rethinking Diabetes investigates how "global" and "local" factors transform how diabetes is perceived, experienced, and embodied from place to place. The book argues that neoliberal capitalism fuels the intrinsic links between hunger and crisis, structural violence and fear, and cumulative trauma and psychiatric distress that are embodied in Type 2 Diabetes Mellitus (hereafter, "diabetes"). It suggests that a global story of modernization as the primary force in the spread of global diabetes overlooks the micro-level stressors that respond to structural inequalities and drive the underlying psychophysiological processes linking hunger, crisis, oppression, unbridled stress, and chronic psychological distress to diabetes. The narratives in this book unveil how deeply embedded such factors are in how diabetes is experienced and (re)produced among low-income communities around the world. Yet, the book focuses on four life stories – one from each context – to consider how diabetes is perceived and experienced in the United States, India, South Africa, and Kenya. These discrete chapters investigate how social, cultural, and epidemiological factors shape people's experiences and why we need to take these differences seriously when we think about what drives diabetes and how it affects the lives of the poor.
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Beauchaine, Theodore P., and Sheila E. Crowell, eds. The Oxford Handbook of Emotion Dysregulation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190689285.001.0001.

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Emotion dysregulation—which is often defined as the inability to modulate strong affective states including impulsivity, anger, fear, sadness, and anxiety—is observed in nearly all psychiatric disorders. These include internalizing disorders such as panic disorder and major depression, externalizing disorders such as conduct disorder and antisocial personality disorder, and various other disorders including schizophrenia, autism, and borderline personality disorder. Among many affected individuals, precursors to emotion dysregulation appear early in development, and often predate the emergence of diagnosable psychopathology. Collaborative work by Drs. Crowell and Beauchaine, and work by many others, suggests that emotion dysregulation arises from both familial (coercion, invalidation, abuse, neglect) and extrafamilial (deviant peer group affiliations, social reinforcement) mechanisms. These studies point toward strategies for prevention and intervention. The Oxford Handbook of Emotion Dysregulation brings together experts whose work cuts across levels of analysis, including neurobiological, cognitive, and social, in studying emotion dysregulation. Contributing authors describe how early environmental risk exposures shape emotion dysregulation, how emotion dysregulation manifests in various forms of mental illness, and how emotion dysregulation is most effectively assessed and treated. This is the first text to assemble a highly accomplished group of authors to address conceptual issues in emotion dysregulation research; define the emotion dysregulation construct at levels of cognition, behavior, and social dynamics; describe cutting-edge assessment techniques at neural, psychophysiological, and behavioral levels of analysis; and present contemporary treatment strategies. Conceptualizing emotion dysregulation as a core vulnerability to psychopathology is consistent with modern transdiagnostic approaches to diagnosis and treatment, including the Research Domain Criteria and the Unified Protocol, respectively.
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Частини книг з теми "Psychophysiological state"

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Kuzovyk, V. D., O. Bulyhina, O. Ivanets, Y. Onykiienko, P. F. Kolesnic, W. Wójcik, and D. Nuradilova. "Complex assessment of the flight crew’s psychophysiological state." In Information Technology in Medical Diagnostics II, 77–85. London, UK; Boca Raton: CRC Press/Balkema, [2019] | Selected and extended conference papers from Polish, Ukranian and Kazakh scientists.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429057618-11.

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Sakamoto, Kiyomi, Seiji Sakashita, Kuniko Yamashita, and Akira Okada. "Evaluating Emotional State during 3DTV Viewing Using Psychophysiological Measurements." In Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 353–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39342-6_39.

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Nogueira, Pedro A., Rui Rodrigues, and Eugénio Oliveira. "Real-Time Psychophysiological Emotional State Estimation in Digital Gameplay Scenarios." In Engineering Applications of Neural Networks, 243–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41013-0_25.

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Basov, Oleg, Angelina Basova, and Maksim Nosov. "Human Resources Management in Conditions of Operators’ Psychophysiological State Changes." In Speech and Computer, 259–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11581-8_32.

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Danch-Wierzchowska, Marta, Marcin Bugdol, and Andrzej W. Mitas. "Psychophysiological State Changes Assesment Based on Thermal Face Image—Preliminary Results." In Advances in Intelligent Systems and Computing, 175–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49666-1_14.

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Mańka, Anna, Patrycja Romaniszyn, Monika N. Bugdol, and Andrzej W. Mitas. "Methods for Assessing the Subject’s Multidimensional Psychophysiological State in Terms of Proper Rehabilitation." In Advances in Intelligent Systems and Computing, 213–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49666-1_17.

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He, Changjiang, Mahdi Mahfouf, and Luis A. Torres-Salomao. "Thermal Imaging for Psychophysiological State Detection in the Human-Machine Interface (HMI) Control System." In Informatics in Control, Automation and Robotics, 214–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31993-9_10.

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Gardé, Alexandre, Pierre-Majorique Léger, Sylvain Sénécal, Marc Fredette, Shang-Lin Chen, Élise Labonté-Lemoyne, and Jean-François Ménard. "Virtual Reality: Impact of Vibro-Kinetic Technology on Immersion and Psychophysiological State in Passive Seated Vehicular Movement." In Haptics: Science, Technology, and Applications, 264–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93399-3_24.

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Kliment, R., P. Smrčka, J. Jeřábek, and M. Vítězník. "Selected Methods for Automatical Classification of Psychophysiological States in Experimentally Controlled Psychical Load." In IFMBE Proceedings, 154–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23508-5_41.

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Kirk, Ryan A. "Grounded Approach for Understanding Changes in Human Emotional States in Real Time Using Psychophysiological Sensory Apparatuses." In Lecture Notes in Computer Science, 323–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58628-1_26.

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Тези доповідей конференцій з теми "Psychophysiological state"

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Wusk, Grace C., Andrew F. Abercromby, and Hampton C. Gabler. "Psychophysiological monitoring of aerospace crew state." In UbiComp '19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3341162.3349309.

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Zhumazhanova, Samal S., Alexey E. Sulavko, and Pavel S. Lozhnikov. "Neurobayesian Algorithm for Subject's Psychophysiological State Identification." In 2021 XV International Scientific-Technical Conference on Actual Problems Of Electronic Instrument Engineering (APEIE). IEEE, 2021. http://dx.doi.org/10.1109/apeie52976.2021.9647606.

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de Salis, Emmanuel, Dan Yvan Baumgartner, and Stefano Carrino. "Can we predict driver distraction without driver psychophysiological state?" In AutomotiveUI '19: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349263.3351514.

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Fang, Yang, and Sun Jianwen. "Effect of Tiscrazy Aroma Concord Parfum on psychophysiological coherence state." In 2011 International Conference on Human Health and Biomedical Engineering (HHBE). IEEE, 2011. http://dx.doi.org/10.1109/hhbe.2011.6029071.

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Smith, Daniel M., Mohammadreza Abtahi, Amir Mohammad Amiri, and Kunal Mankodiya. "Bivariate autoregressive state-space modeling of psychophysiological time series data." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591932.

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Harrivel, Angela R., Charles Liles, Chad L. Stephens, Kyle K. Ellis, Lance J. Prinzel, and Alan T. Pope. "Psychophysiological Sensing and State Classification for Attention Management in Commercial Aviation." In AIAA Infotech @ Aerospace. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-1490.

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Sakamoto, Kiyomi, Seiji Sakashita, Kuniko Yamashita, and Akira Okada. "Relationship between TV viewers' preferences and psychophysiological measurements of emotional state." In 2013 IEEE 17th International Symposium on Consumer Electronics (ISCE). IEEE, 2013. http://dx.doi.org/10.1109/isce.2013.6570224.

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Litvinova, Nadezhda, and Olga Bulatova. "INFLUENCE OF MUSIC ON THE PSYCHOPHYSIOLOGICAL STATE AND ODOR ATTRACTIVENESS OF GIRLS." In XVI International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1127.sudak.ns2020-16/296-297.

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Serikov, V., O. At’kov, and Mikhail Rubtsov. "World ocean flight around the North Pole: Effects to pilots’ psychophysiological state." In Proceedings of the II International Scientific-Practical Conference "Psychology of Extreme Professions" (ISPCPEP 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ispcpep-19.2019.44.

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Katamanova, Djemilya, Zera Bekirova, Tatiana Sataeva, Anastasia Rebik, Sergey Rybalko, and Dmitriy Tsapik. "CHANGES IN THE PSYCHOPHYSIOLOGICAL STATE DURING PERFORMANCE OF A VISUAL-TACTILE TASK." In XVII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2156.sudak.ns2021-17/183-184.

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Звіти організацій з теми "Psychophysiological state"

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Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev, and Mariya P. Shyshkina. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, July 2020. http://dx.doi.org/10.31812/123456789/4633.

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Анотація:
In modern conditions, innovative augmented reality technologies are actively developing, which are widespread in many areas of human activity. Introduction of advanced developments in the process of professional training of future specialists of socionomic professions in the conditions of adaptive training, contributes to the implementation of the principles of a personalized approach and increase the overall level of competitiveness. The relevant scientific article is devoted to the theoretical and empirical analysis result of conducting a psychodiagnostic study on an innovative computer complex HC-psychotest. of the features of the implementation of augmented reality technologies in the construct of traditional psychological and pedagogical support aimed at the development of emotional intelligence of the future specialist. The interdisciplinary approach was used while carrying out the research work at the expense of the general fund of the state budget: “Adaptive system for individualization and personalization of professional training of future specialists in the conditions of blended learning”. A comprehensive study of the implementation of traditional psychological-pedagogical and innovative augmented reality technologies was conducted in the framework of scientific cooperation of STEAM-Laboratory, Laboratory of Psychophysiological Research and Laboratory of Psychology of Health in Bogdan Khmelnitsky Melitopol State Pedagogical University. The theoretical analysis considers the structural model of emotional intelligence of the future specialist of socionomic professions, which is represented by two structural components: intrapersonal construct of emotional intelligence and interpersonal construct of emotional intelligence. Each component mediates the inherent emotional intelligence of interpretive, regulatory, adaptive, stress-protective and activating functions. The algorithm of the empirical block of research is presented by two stages: ascertaining and forming research. According to the results of the statement, low indicators were found on most scales, reflecting the general level of emotional intelligence development of future specialists, actualizing the need to find and implement effective measures for the development of emotional intelligence components in modern higher education and taking into account information development and digitalization. As part of the formative stage of the research implementation, a comprehensive program “Development of emotional intelligence of future professionals” was tested, which integrated traditional psychological and pedagogical technologies and innovative augmented reality technologies. This program is designed for 24 hours, 6 thematic classes of 4 hours. According to the results of a comprehensive ascertaining and shaping research, the effectiveness of the influence of augmented reality technologies on the general index of emotional intelligence is proved. The step-by-step model of integration of augmented reality components influencing the ability to analyze, understand and regulate emotional states into a complex program of emotional intelligence development is demonstrated. According to the results of the formative study, there is a dominance of high indicators of the following components: intrapersonal (50%), interpersonal (53.3%). Thus, we can say that intrapersonal and interpersonal emotional intelligence together involve the actualization of various cognitive processes and skills, and are related to each other. Empirical data were obtained as a
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Osadchyi, Viacheslav, Hanna Varina, Evgeniy Prokofiev, Iryna Serdiuk, and Svetlana Shevchenko. Use of AR/VR Technologies in the Development of Future Specialists' Stress Resistance: Experience of STEAM-Laboratory and Laboratory of Psychophysiological Research Cooperation. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4455.

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Анотація:
The scientific article deals with the analysis of peculiarities of the use of innovative AR/VR technologies in the process of developing future special- ists’ stress resistance. Based on the analysis of the introduction of AR/VR tech- nologies in the context of the implementation of a competency-based approach to higher education; modern studies on the impact of augmented reality on the emotional states and physiological features of a person in a stressful situation, the experience of cooperation of students and teachers at the Laboratory of Psy- chophysiological Research and STEAM-Laboratory has been described. Within the framework of the corresponding concept of cooperation, an integrative ap- proach to the process of personality’s stress resistance development has been designed and implemented. It is based on the complex combination of tradition- al psycho-diagnostic and training technologies with innovative AR/VR technol- ogies. According to the results it has been revealed that the implementation of a psycho-correction program with elements of AR technologies has promoted an increase of the level of personality’s emotional stability and stress resistance. The level of future specialists’ situational and personal anxiety has decreased; the level of insecurity, inferiority, anxiety about work, sensitivity to failures has also decreased; the level of flexibility of thinking and behavior, ability to switch from one type of activity to another one has increased; general level of person- ality’s adaptive abilities has also increased. The perspectives of further research include the analysis of the impact of AR/VR technologies on the future profes- sionals’ psychological characteristics in order to optimize the process of im- plementing a learner-centered approach into the system of higher education.
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