Thèses sur le sujet « Psychology Recognition »
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Strowger, Megan E. « Interoceptive sounds and emotion recognition ». Thesis, University of the Sciences in Philadelphia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10294821.
Texte intégralBackground: Perception of changes in physiological arousal is theorized to form the basis for which the brain labels emotional states. Interoception is a process by which individuals become aware of physiological sensations. Lowered emotional awareness has been found to be associated with lower interoceptive awareness. Alexithymia is a personality trait associated with lowered emotion recognition ability which affects 10-20% of the university student population in Western countries. Research suggests that being made aware of one’s heartbeat may enhance emotional awareness. Objective(s): The present study attempted to enhance emotion recognition abilities directly via an experimental interoceptive manipulation in order to decrease levels of alexithymia. It had three aims: 1) To examine whether exposing individuals to the interoceptive sound of their own heart beat could illicit changes in their emotion recognition abilities,2) To examine whether higher emotion recognition abilities as a result of listening to one’s own heartbeat differed by alexithymia group, and 3) if higher interoceptive awareness was associated with higher RME scores during the own heartbeat sound condition. Methods: 36 participants were recruited from an introductory psychology class at the University of the Sciences in Philadelphia. Participants completed lab-based tests of emotion recognition followed by questionnaires assessing alexithymia and interoceptive abilities. During the lab-based test of emotion recognition, participants were subjected to an interoceptive manipulation by listening to three sounds (in random order): own heartbeat, another person’s heartbeat, and footsteps. To test aim 1, a repeated-measures ANOVA examined differences in emotion recognition scores during the various sound conditions (i.e., no sound, own heartbeat, other heartbeat, footsteps). For evaluating aim 2, a two way 3 x 4 RM ANOVA tested for differences in RME scores by sound condition when individuals were alexithymic, possibly alexithymic and not alexithymic. Aim 3 was examined using correlations between the attention to body and emotion awareness subscale scores separately with RME score for own heartbeat. Results: Contrary to predictions, RME performance did not vary according to body sound condition, F (3, 105) =.53, p = .67, η² = .02. A significant interaction was seen between alexithymia category and RME scores during the interoceptive sound conditions, F (6, 99) = 2.27, p = .04, η ² = .12. However, post-hoc analyses did not reveal significant differences between specific alexithymia categories and RME scores. A significant positive relationship was seen between RME during own heartbeat and being able to pay attention to the body (r (36) = .34, p = .05, R² = .11). Discussion: Our results suggest that more attention was directed toward facial emotions when subjects listened to their own heartbeat but this increase did not result in measurable changes in RME performance. Limitations: Although using a within-subjects design potentially increased statistical power, a between-subjects design with random assignment could have eliminated the effects of repeated measurement and condition order. Implications: The most novel of these findings was that individuals paid more attention to the emotional stimuli when hearing their own heartbeat. More research is needed to understand if the interoceptive sound manipulation may aide in improving other cognitive functions or earlier steps in the emotion process. Future research using other measures of interoception and attention are necessary to confirm the result.
Stoehr, Michele. « Loneliness and Emotion Recognition| A Dynamical Description ». Thesis, Florida Atlantic University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10610509.
Texte intégralLoneliness – the feeling that manifests when one perceives one’s social needs are not being met by the quantity or especially the quality of one’s social relationships – is a common but typically short-lived and fairly harmless experience. However, recent research continues to uncover a variety of alarming health effects associated with longterm loneliness. The present study examines the psychological mechanisms underlying how persons scoring high in trait loneliness perceive their social environments. Evaluations of transient facial expression morphs are analyzed in R using dynamical systems methods. We hypothesize that, consistent with Cacioppo and Hawkley’s socio-cognitive model, subjects scoring high in loneliness will exhibit hypervigilance in their evaluations of cold and neutral emotions and hypovigilance in their evaluations of warm emotions. Results partially support the socio-cognitive model but point to a relationship between loneliness and a global dampening in evaluations of emotions.
Bingham, Charles W. « Theorizing recognition in education / ». Thesis, Connect to this title online ; UW restricted, 1999. http://hdl.handle.net/1773/7802.
Texte intégralTurnbull, Oliver Hugh. « Spatial transformations and object recognition ». Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364274.
Texte intégralValentine, T. R. « Encoding processes in face recognition ». Thesis, University of Nottingham, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373343.
Texte intégralMemon, A. « Context effects in face recognition ». Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355418.
Texte intégralKHALIFA, INTISSAR. « Deep psychology recognition based on automatic analysis of non-verbal behaviors ». Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/314920.
Texte intégralOne highly crucial aspect in the domain of human-human interaction is the communication of emotions. Being able to deduce emotional states through non-verbal behaviors allows humans to understand and reason about each others’ underlying goals and intents. Affective Computing is the branch of computer science that aims to profit from the power of emotions to facilitate a more efficient human-machine interaction. The goal is to give the machines the ability to express, recognize, and regulate emotions. In this dissertation, we look in detail at the role of visual and auditory expressions for communicating emotions and we develop computational models for automatic emotion recognition which is an active research area over the last decade. In general, communication of emotions through body cues is less understood than other modalities. Social psychology that has inspired many computational approaches has traditionally focused on facial cues. However, body gestures are a significant source of information especially when other channels are hidden or there is a subtle nuance of expressions. In this context, we propose our approaches for emotional body gesture recognition using two different models. For the part-based model, we develop a hybrid approach that incorporates two techniques of motion estimation and temporal normalization for hand motion modeling, then we move to present our deep-spatio temporal approach for body motion modeling to have finally the person’s emotional state. In this part, we demonstrate that our deep learning technique outperforms traditional machine learning techniques. For the kinematic-based model, we combine human pose estimation for skeleton detection and emotion classification to propose a new deep multi-stage architecture able to deal with both tasks by exploiting the strong points of models pre-trained. We demonstrate that transfer learning techniques outperform traditional machine learning techniques. As another modality, speech is the fastest normal way to communicate among humans. This reality motivates us to identify the emotional conditions of the uttering person by utilizing his/her voice automatically. We propose a deep temporal-cepstrum representation based on the concatenation of spectral features, temporal derivatives features, and a deep learning classifier for speech emotion recognition. The results obtained for both modalities using our suggested methods are very promising and competitive over existing methods in the state of the art. We believe that our work is pertinent to both social computing and organizational psychology. Taking the example of job interviews, which is well studied by social psychologists, our study may provide insights for how non-verbal cues could be used by the companies for the hiring decision. In fact, our dissertation shows the feasibility of using automatically extracted cues to analyze the psychological states as an attractive alternative to manual annotations of behavioral cues.
Shriver, Edwin R. « Stereotypicality Moderates Face Recognition : Expectancy Violation Reverses the Cross-Race Effect in Face Recognition ». Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1310067080.
Texte intégralGaston, Jeremy R. « The limiting role of backward recognition masking for recognition of speech-like transitions ». Diss., Online access via UMI:, 2005.
Trouver le texte intégralWhitt, Emma. « Associative processes in recognition memory ». Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12289/.
Texte intégralThompson, Linda Jean Margaret. « Effects of context on face recognition ». Thesis, Birkbeck (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271805.
Texte intégralBock, Jacqueline Mary. « Perceptual grouping in visual word recognition ». Thesis, University of York, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254606.
Texte intégralEden, Allison Lehner. « Affective Image Recognition in Valanced Contexts ». W&M ScholarWorks, 2006. https://scholarworks.wm.edu/etd/1539626522.
Texte intégralMiller, Elijah Carl. « Recognition Memory of Extremely High Frequency Words ». Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1575639468174335.
Texte intégralGraham, Brittany Shauna. « Mechanisms supporting recognition memory during music listening ». Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42848.
Texte intégralDewhurst, Stephen Anthony. « Determinants of recollective experience in recognition memory ». Thesis, Lancaster University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358184.
Texte intégralKareem, A. M. « Behavioural aspects of kin recognition in mice ». Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306658.
Texte intégralChiroro, Patrick. « Individual differences in recognition memory for faces ». Thesis, Durham University, 1994. http://etheses.dur.ac.uk/1217/.
Texte intégralLoucas, Thomas. « On the development of spoken word recognition ». Thesis, Birkbeck (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248424.
Texte intégralHodgson, James Marion. « Context effects in lexical access and lexical recognition ». Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/16494.
Texte intégralZetzer, Emily E. « Examining Whether Instrument Changes Affect Song Recognition the Way Talker Changes Affect Word Recognition ». Cleveland State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1463321447.
Texte intégralOberst, Leah. « Facial and Body Emotion Recognition in Infancy ». UKnowledge, 2014. http://uknowledge.uky.edu/psychology_etds/48.
Texte intégralBasehore, Zachariah D. « Is Simpler Better ? Testing the Recognition Heuristic ». Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1435053668.
Texte intégralBessette-Symons, Brandy. « Recognition accuracy and response bias for emotional words and pictures ». Related electronic resource : Current Research at SU : database of SU dissertations, recent titles available full text, 2008. http://wwwlib.umi.com/cr/syr/main.
Texte intégralBonivento, Carolina. « Action execution and recognition : a neuropsychological analysis ». Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3509/.
Texte intégralAinsworth, Kirsty. « Facial expression recognition and the autism spectrum ». Thesis, University of Glasgow, 2016. http://theses.gla.ac.uk/8287/.
Texte intégralBooth, Michael C. A. « Temporal lobe mechanisms for view-invariant object recognition ». Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299094.
Texte intégralNewell, Fiona N. « Perceptual recognition of familiar objects in different orientations ». Thesis, Durham University, 1992. http://etheses.dur.ac.uk/5789/.
Texte intégralElder, Leona. « The development of word recognition in beginning readers ». Thesis, University of Dundee, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329845.
Texte intégralDonaldson, Brianna Conrey. « Efficiency of visual pattern recognition in correlated noise ». [Bloomington, Ind.] : Indiana University, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3315925.
Texte intégralTitle from PDF t.p. (viewed on May 8, 2009). Source: Dissertation Abstracts International, Volume: 69-07, Section: B, page: 4454. Adviser: Jason M. Gold.
Allen, Melinda R. « Mirror self-recognition in a gorilla (gorilla gorilla gorilla) ». FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/1066.
Texte intégralReiss, Jason Edward. « Object substitution masking what is the neural fate of the unreportable target ? / ». Access to citation, abstract and download form provided by ProQuest Information and Learning Company ; downloadable PDF file, 200 p, 2007. http://proquest.umi.com/pqdweb?did=1397916081&sid=9&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Texte intégralGermine, Laura Thi. « Emotion Recognition and Psychosis-Proneness : Neural and Behavioral Perspectives ». Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10185.
Texte intégralPsychology
Lee, Saebyul. « Independent Recognition of Numerosity Requires Attention ». The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429880349.
Texte intégralJardin, Elliott C. « Recognition Memory Revisited : An Aging and Electrophysiological Investigation ». Cleveland State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=csu1548157727480549.
Texte intégralLin, Xiaoyan. « Bayesian hierarchical models for the recognition-memory experiments ». Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/6047.
Texte intégralThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 3, 2009) Vita. Includes bibliographical references.
Gifford, Amanda Kristyne. « Assessing object recognition memory in the domestic pig ». Online access for everyone, 2005. http://www.dissertations.wsu.edu/Thesis/Spring2005/a%5Fgifford%5F012105.pdf.
Texte intégralBonnar, Elizabeth-Ann. « Attending to visual information for perception and recognition ». Thesis, University of Glasgow, 2005. http://theses.gla.ac.uk/4907/.
Texte intégralRoss, David Andrew. « Norm- and exemplar- based models of face recognition ». Thesis, Cardiff University, 2011. http://orca.cf.ac.uk/24126/.
Texte intégralLancaster, Joseph Paul Jr. « Toward autism recognition using hidden Markov models ». Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/777.
Texte intégralReplogle, Virginia Lynn. « Identifying the sources of lexical effects in visual word recognition / ». The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486572165279073.
Texte intégralSeybold, John. « An attractor neural network model of spoken word recognition ». Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335839.
Texte intégralByrd, Bridget D. « Electrophysiological potentials in the hippocampus during recognition memory ». View electronic thesis, 2008. http://dl.uncw.edu/etd/2008-1/byrdb/bridgetbyrd.pdf.
Texte intégralMiller, Angela Nicole Roberts. « The role of body mass index and its covariates in emotion recognition ». Thesis, Kent State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3618863.
Texte intégralObesity is a chronic and debilitating medical condition that results from a complex mix of genetic, physiological, psychological, and social factors. Despite a recognized consensus regarding the complexity of obesity, little is known about how various demographic, medical, and cognitive performance variables interact in this population, especially in relation to factors which may contribute to the maintenance of obesity over time. Research has supported that one key aspect of this process is eating in response to psychological rather than physiological cues. Given the increased prevalence of psychopathology, particularly mood disorders, in obese individuals, the question arises as to whether there exists an underlying impairment in emotion recognition.
The current study sought to examine the associations among demographic and medical variables as well as performance on cognitive tests of memory, attention, executive function, sensory-motor, and verbal skills. Contrary to the hypothesis that BMI would be inversely related to performance on tests of emotion recognition, results indicated that as BMI increases, reaction time to complete these tasks decreases. This finding was noted even after the effects of age, gender, estimated pre-morbid IQ, pre-existing medical conditions, and performance in all neurocognitive domains was removed. In addition, when examined across BMI categories, it was observed that participants with BMIs greater than 40 kg/m2 showed the fastest reaction times. Overall, these findings provide support for contemporary theories of emotion which generally agree that emotions evolved to facilitate adaptation to environmental threat.
Sherman, Adam Grant. « Development of a test of facial affect recognition / ». Access abstract and link to full text, 1994. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/9510111.
Texte intégralChambrot, Krysten Wise Kevin Robert. « Choosing your own adventure hyperlinks and their effects on memory / ». Diss., Columbia, Mo. : University of Missouri--Columbia, 2008. http://hdl.handle.net/10355/5711.
Texte intégralBuratto, Luciano Grüdtner. « List-length and list-strength effects in recognition memory ». Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/874/.
Texte intégralRobertson, Daniel. « Spatial and temporal factors affecting human visual recognition memory ». Thesis, University of Nottingham, 2007. http://eprints.nottingham.ac.uk/10272/.
Texte intégralNakabayashi, Kazuyo. « The role of verbal processing in face recognition memory ». Thesis, University of Glasgow, 2005. http://theses.gla.ac.uk/1268/.
Texte intégralHarrison, Virginia M. « Expertise and the own-age bias in face recognition ». Thesis, University of Sussex, 2011. http://sro.sussex.ac.uk/id/eprint/6945/.
Texte intégral