Academic literature on the topic 'Colour, recognition memory, emotion'
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Journal articles on the topic "Colour, recognition memory, emotion"
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Lewandowska, Anna, Krystyna Górna, Krystyna Jaracz, and Janusz Rybakowski. "Neuropsychological performance facilitates emotion recognition in bipolar disorder." Archives of Psychiatry and Psychotherapy 24, no. 4 (December 23, 2022): 68–77. http://dx.doi.org/10.12740/app/156208.
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Aim of the studyIn bipolar disorder (BD), evidence for both cognitive impairment and deficit in emotion recognition has been found. Several investigations indicate that cognition and face processing can be interrelated. In this study, we assessed the correlations between cognitive functioning and emotion recognition (face expression) in patients with BD during an acute manic and depressive episode as well as in remission using a large battery of neurocognitive tests.Subject or material and methodsTwenty-four manic subjects, 21 with bipolar depression, and 22 euthymics, age-, sex-, and education-matched were included. Cognitive functions were assessed by the Wisconsin Card Sorting Test (WCST), Trail Making Test (TMT, Stroop Color-Word Interference Test (SCWT), California Verbal Learning Test (CVLT), Benton Visual Memory Test (BVRT), Rey-Osterreich Complex Figure Test (ROFT), d2 test and Verbal Fluency Test (VFT). For emotion recognition, the Penn Emotion Recognition Test and Penn Emotion Discrimination Test were employed.ResultsIn mania, performances on selected measures of the WCST, TMT, SCWT, CVLT, ROFT, d2 test, and VFT, achieved 19 positive correlations with better recognition of happiness. In depression, conducting these tests obtained 20 correlations with finer recognition of sadness. In remission, such performances acquired 18 correlations with greater identification of sadness (10 replicated those obtained in depression).DiscussionBetter emotion recognition in manic patients concerns mostly happiness, while in depression and remission, mainly sadness.ConclusionsBetter neuropsychological performance can facilitate emotion recognition. We hypothesize that the identification of sadness could be considered a biological marker of mood disorders.
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Sutton, Tina M., and Jeanette Altarriba. "Emotion words in the mental lexicon." Emotion words in the monolingual and bilingual lexicon 3, no. 1 (April 7, 2008): 29–46. http://dx.doi.org/10.1075/ml.3.1.04sut.
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The representation of emotion words in memory is a relatively new area of research within the cognitive domain. In the present paper, these words will be examined with the use of the Stroop paradigm. In the past, this paradigm has been used to investigate a wide variety of word types, including color words and color-related words. Only a few studies have examined emotion words. The current study investigates a particular set of emotion words that were either congruent or incongruent with the color they were presented in (e.g., ENVY in green ink or red ink), much like standard Stroop stimuli (RED in red ink or green ink). The results of Experiment 1 revealed that emotion stimuli can be studied in the same manner as color words and color-related words, such as fire. When the congruent and incongruent items were presented together, within the same block in Experiment 2, the color items and color-related emotion items still produced a Stroop interference effect, but the color-related emotionally neutral items did not. The results of Experiment 2 suggest that evaluative information (i.e., negative valence) is automatically accessed regardless of the task at hand. The current study speaks to the need to include negative valence as an important factor in models of word recognition.
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Walter, Martin, Liz Stuart, and Roman Borisyuk. "The Representation of Neural Data Using Visualization." Information Visualization 3, no. 4 (June 10, 2004): 245–56. http://dx.doi.org/10.1057/palgrave.ivs.9500071.
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Currently, the focus of research within Information Visualization is steering towards genomic data visualization due to the level of activity that the Human Genome Project has generated. However, the Human Brain project, renowned within Neuroinformatics, is equally challenging and exciting. Its main aim is to increase current understanding of brain function such as memory, learning, attention, emotions and consciousness. It is understood that this task will require the ‘integration of information from the level of the gene to the level of behaviour'. The work presented in this paper focuses on the visualization of neural data. More specifically, the data being analysed is multi-dimensional spike train data. Traditional methods, such as the ‘raster plot’ and the ‘cross-correlogram', are still useful but they do not scale up for larger assemblies of neurons. In this paper, a new innovative method called the Tunnel is defined. Its design is based on the principles of Information Visualization; overview the data, zoom and filter data, data details on demand. The features of this visualization environment are described. This includes data filtering, navigation and a ‘flat map’ overview facility. Additionally, a ‘coincidence overlay map’ is presented. This map washes the Tunnel with colour, which encodes the coincidence of spikes.
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Chew, Esyin, and Xin Ni Chua. "Robotic Chinese language tutor: personalising progress assessment and feedback or taking over your job?" On the Horizon 28, no. 3 (July 6, 2020): 113–24. http://dx.doi.org/10.1108/oth-04-2020-0015.
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Purpose The shortage of Chinese language teachers have been identified as a pressing issue globally. This paper aims to respond to the needs by investigating and designing the learning innovation with autonomous programmable robot, NAO. Design/methodology/approach By thoughtfully embedding NAO robot into teaching basic Chinese language, this research demonstrates an inquiry qualitative case study of artificial intelligence design principles and learning engagement with rule-based reasoning and progress test design. Findings This state-of-the arts robot use its emotion recognition and body language automated (LED eye with various colours) to demonstrate the Chinese words, to increase learners’ understanding and enhance their memory of the words learned. The responses conclude that the novel learning experience is more fun and interesting, thus the engagement from the axis of novelty, interactivity, motivation and interest is enhanced. Research limitations/implications It is recognised that the number of research participants was small, but the qualitative finding demonstrate key issues and recommendation that may inspire future empirical research. Practical implications Today, robotics is a rapidly growing field and has received significant attention in education. Humanoid robots are now increasingly used in fields such as education, hospitality, entertainment and health care. Educational robots are anticipated to serve as teaching assistants. Originality/value The learning engagement paradigm has shifted from manual engagement to personal response systems or mixed-reality on mobile platforms, and now with the humanoid robot, the recommendation of four principles and future work and for designing humanoid robot as a language tutor are discussed. The educational robot model can be changed to a newer robot such as CANBOT U05E.
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Liu, Yawen. "The Colour-Emotion Association." Journal of Education, Humanities and Social Sciences 5 (November 23, 2022): 272–77. http://dx.doi.org/10.54097/ehss.v5i.2912.
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It is suggested that there might be an association between colour and emotion. Most of previous research in this field did not investigate this topic from different perspectives (e.g., interpersonal, subjective). Therefore, this paper reviews several recent studies on the colour-emotion association to demonstrate how their results can specify and deepen the understanding about colour-emotion association. Studies on the subjective feeling of colour found that the effects of colour stimuli are not only determined by hue, but also by a combination of effects from the three dimensions of colour: hue, lightness, and saturation. Other studies explored the relationship between colour and expressive emotion through facial colour to analyse the association in social interaction. They identified the effects of facial colour on emotion interpretation, the recognition of facial emotions, and emoticons (emoji). Additionally, they compared the effects of facial colour with the background colour. Finally, some studies attempted to identify the mechanisms of colour-emotion associations. The mapping between the representational dimensions of colour and emotion revealed colour temperature as a mediator, with cultural and personal differences as secondary associations. Machine learning classifiers also quantified the influence of cultural differences on this relationship. It was suggested that different cultures can share common colour-emotion associations to some extent. Plus, there are specific associations related to each culture. Future studies could advance their research design by controlling colour stimuli in the three dimensions, applying different methods to assess emotional responses, and constructing experimental settings closer to real life. This paper can provide some guidance for future research to examine colour-emotion associations more systematically. It can also give some suggestions to the design of emotion related curriculum at school.
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Lai, Helang, Keke Wu, and Lingli Li. "Multimodal emotion recognition with hierarchical memory networks." Intelligent Data Analysis 25, no. 4 (July 9, 2021): 1031–45. http://dx.doi.org/10.3233/ida-205183.
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Emotion recognition in conversations is crucial as there is an urgent need to improve the overall experience of human-computer interactions. A promising improvement in this field is to develop a model that can effectively extract adequate contexts of a test utterance. We introduce a novel model, termed hierarchical memory networks (HMN), to address the issues of recognizing utterance level emotions. HMN divides the contexts into different aspects and employs different step lengths to represent the weights of these aspects. To model the self dependencies, HMN takes independent local memory networks to model these aspects. Further, to capture the interpersonal dependencies, HMN employs global memory networks to integrate the local outputs into global storages. Such storages can generate contextual summaries and help to find the emotional dependent utterance that is most relevant to the test utterance. With an attention-based multi-hops scheme, these storages are then merged with the test utterance using an addition operation in the iterations. Experiments on the IEMOCAP dataset show our model outperforms the compared methods with accuracy improvement.
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Voyer, Daniel, Danielle Dempsey, and Jennifer A. Harding. "Response procedure, memory, and dichotic emotion recognition." Brain and Cognition 85 (March 2014): 180–90. http://dx.doi.org/10.1016/j.bandc.2013.12.007.
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Ghoshal, Abhishek, Aditya Aspat, and Elton Lemos. "OpenCV Image Processing for AI Pet Robot." International Journal of Applied Sciences and Smart Technologies 03, no. 01 (June 21, 2021): 65–82. http://dx.doi.org/10.24071/ijasst.v3i1.2765.
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The Artificial Intelligence (AI) Pet Robot is a culmination of multiple fields of computer science. This paper showcases the capabilities of our robot. Most of the functionalities stem from image processing made available through OpenCV. The functions of the robot discussed in this paper are face tracking, emotion recognition and a colour-based follow routine. Face tracking allows the robot to keep the face of the user constantly in the frame to allow capturing of facial data. Using this data, emotion recognition achieved an accuracy of 66% on the FER-2013 dataset. The colour-based follow routine enables the robot to follow the user as they walk based on the presence of a specific colour.
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Reppa, Irene, Kate E. Williams, W. James Greville, and Jo Saunders. "The relative contribution of shape and colour to object memory." Memory & Cognition 48, no. 8 (June 15, 2020): 1504–21. http://dx.doi.org/10.3758/s13421-020-01058-w.
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AbstractThe current studies examined the relative contribution of shape and colour in object representations in memory. A great deal of evidence points to the significance of shape in object recognition, with the role of colour being instrumental under certain circumstances. A key but yet unanswered question concerns the contribution of colour relative to shape in mediating retrieval of object representations from memory. Two experiments (N=80) used a new method to probe episodic memory for objects and revealed the relative contribution of colour and shape in recognition memory. Participants viewed pictures of objects from different categories, presented one at a time. During a practice phase, participants performed yes/no recognition with some of the studied objects and their distractors. Unpractised objects shared shape only (Rp–Shape), colour only (Rp–Colour), shape and colour (Rp–Both), or neither shape nor colour (Rp–Neither), with the practised objects. Interference effects in memory between practised and unpractised items were revealed in the forgetting of related unpractised items – retrieval-induced forgetting. Retrieval-induced forgetting was consistently significant for Rp–Shape and Rp–Colour objects. These findings provide converging evidence that colour is an automatically encoded object property, and present new evidence that both shape and colour act simultaneously and effectively to drive retrieval of objects from long-term memory.
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Dardagani, A., E. Dandi, S. Tsotsi, M. Nazou, A. Lagoudis, and V. P. Bozikas. "The relationship of emotion recognition with neuropsychological performance in patients with first episode psychosis." European Psychiatry 41, S1 (April 2017): S190. http://dx.doi.org/10.1016/j.eurpsy.2017.01.2118.
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The relationship between neuropsychological dysfunction and emotion perception has been frequently noted in various studies. Attention, for example, has been found to play an important role in emotion processing and recognition. Not many studies though, have examined this relationship in first psychotic episode patients. The aim of the present study was to explore the nature of the relation between performance in cognitive tests and a test that measures emotion perception. In a sample of 46 first psychotic episode patients (22 male), we administered a comprehensive battery of neuropsychological non-verbal tests and an emotion recognition test. The cognitive domains of attention, memory, working memory, visuospatial ability and executive function were examined, by using specific tests of the Cambridge Neuropsychological Test Automated Battery (CANTAB). The emotion recognition assessment comprised a new test that includes 35 coloured pictures of individuals expressing six basic emotions (happiness, sadness, anger, disgust, surprise, fear) and a neutral emotion. We used partial correlation–controlling for the effect of age–and we found a statistically significant relationship between emotion recognition and overall cognitive performance. More specifically, attention, visual memory and visuospatial ability positively correlated with emotion recognition. In regard to specific cognitive domains, attention positively correlated with anger and fear, whereas visual memory correlated with happiness and fear. In conclusion, it seems that the role of underlying visual processes in emotion perception has to be further examined and evaluated in this group of patients.Disclosure of interestThe authors have not supplied their declaration of competing interest.
Dissertations / Theses on the topic "Colour, recognition memory, emotion"
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Gohar, Kadar Navit. "Diagnostic colours of emotions." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/2298.
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This thesis investigates the role of colour in the cognitive processesing of emotional information. The research is guided by the effect of colour diagnosticity which has been shown previously to influence recognition performance of several types of objects as well as natural scenes. The research presented in Experiment 1 examined whether colour information is considered a diagnostic perceptual feature of seven emotional categories: happiness, sadness, anger, fear, disgust, surprise and neutral. Participants (N = 119), who were naïve to the specific purpose and expectations of the experiment, chose colour more than any other perceptual quality (e.g. shape and tactile information) as a feature that describes the seven emotional categories. The specific colour features given for the six basic emotions were consistently different from those given to the non-emotional neutral category. While emotional categories were often described by chromatic colour features (e.g. red, blue, orange) the neutral category was often ascribed achromatic colour features (e.g. white, grey, transparent) as the most symptomatic perceptual qualities for its description. The emotion 'anger' was unique in being the only emotion showing an agreement higher that 50% of the total given colour features for one particular colour - red. Confirming that colour is a diagnostic feature of emotions led to the examination of the effect of diagnostic colours of emotion on recognition memory for emotional words and faces: the effect, if any, of appropriate and inappropriate colours (matched with emotion) on the strength of memory for later recognition of faces and words (Experiments 2 & 3). The two experiments used retention intervals of 15 minutes and one week respectively and the colour-emotion associations were determined for each individual participant. Results showed that regardless of the subject’s consistency level in associating colours with emotions, and compared with the individual inappropriate or random colours, individual appropriate colours of emotions significantly enhance recognition memory for six basic emotional faces and words. This difference between the individual inappropriate colours or random colours and the individual appropriate colours of emotions was not found to be significant for non-emotional neutral stimuli. Post hoc findings from both experiments further show that appropriate colours of emotion are associated more consistently than inappropriate colours of emotions. This suggests that appropriate colour-emotion associations are unique both in their strength of association and in the form of their representation. Experiment 4 therefore aimed to investigate whether appropriate colour-emotion associations also trigger an implicit automatic cognitive system that allows faster naming times for appropriate versus inappropriate colours of emotional word carriers. Results from the combined Emotional-Semantic Stroop task confirm the above hypothesis and therefore imply that colour plays a substantial role not only in our conceptual representations of objects but also in our conceptual representations of basic emotions. The resemblance of the present findings collectively to those found previously for objects and natural scenes suggests a common cognitive mechanism for the processing of emotional diagnostic colours and the processing of diagnostic colours of objects or natural scenes. Overall, this thesis provides the foundation for many future directions of research in the area of colour and emotion as well as a few possible immediate practical implications.
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Gohar, Kadar Navit. "Diagnostic colours of emotions." University of Sydney, 2008. http://hdl.handle.net/2123/2298.
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Doctor of PhilosophyThis thesis investigates the role of colour in the cognitive processesing of emotional information. The research is guided by the effect of colour diagnosticity which has been shown previously to influence recognition performance of several types of objects as well as natural scenes. The research presented in Experiment 1 examined whether colour information is considered a diagnostic perceptual feature of seven emotional categories: happiness, sadness, anger, fear, disgust, surprise and neutral. Participants (N = 119), who were naïve to the specific purpose and expectations of the experiment, chose colour more than any other perceptual quality (e.g. shape and tactile information) as a feature that describes the seven emotional categories. The specific colour features given for the six basic emotions were consistently different from those given to the non-emotional neutral category. While emotional categories were often described by chromatic colour features (e.g. red, blue, orange) the neutral category was often ascribed achromatic colour features (e.g. white, grey, transparent) as the most symptomatic perceptual qualities for its description. The emotion 'anger' was unique in being the only emotion showing an agreement higher that 50% of the total given colour features for one particular colour - red. Confirming that colour is a diagnostic feature of emotions led to the examination of the effect of diagnostic colours of emotion on recognition memory for emotional words and faces: the effect, if any, of appropriate and inappropriate colours (matched with emotion) on the strength of memory for later recognition of faces and words (Experiments 2 & 3). The two experiments used retention intervals of 15 minutes and one week respectively and the colour-emotion associations were determined for each individual participant. Results showed that regardless of the subject’s consistency level in associating colours with emotions, and compared with the individual inappropriate or random colours, individual appropriate colours of emotions significantly enhance recognition memory for six basic emotional faces and words. This difference between the individual inappropriate colours or random colours and the individual appropriate colours of emotions was not found to be significant for non-emotional neutral stimuli. Post hoc findings from both experiments further show that appropriate colours of emotion are associated more consistently than inappropriate colours of emotions. This suggests that appropriate colour-emotion associations are unique both in their strength of association and in the form of their representation. Experiment 4 therefore aimed to investigate whether appropriate colour-emotion associations also trigger an implicit automatic cognitive system that allows faster naming times for appropriate versus inappropriate colours of emotional word carriers. Results from the combined Emotional-Semantic Stroop task confirm the above hypothesis and therefore imply that colour plays a substantial role not only in our conceptual representations of objects but also in our conceptual representations of basic emotions. The resemblance of the present findings collectively to those found previously for objects and natural scenes suggests a common cognitive mechanism for the processing of emotional diagnostic colours and the processing of diagnostic colours of objects or natural scenes. Overall, this thesis provides the foundation for many future directions of research in the area of colour and emotion as well as a few possible immediate practical implications.
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Roberson, Deborah Mary Juliet. "Colour universals : an examination of the evidence." Thesis, Goldsmiths College (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369189.
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Patel, Harshada. "Children's and adults' incidental learning of colours they have witnessed." Thesis, University of Sheffield, 2002. http://etheses.whiterose.ac.uk/15091/.
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Kilic, Asli. "Age Related Changes In Recognition Memory For Emotional Stimuli." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608560/index.pdf.
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Recognition memory - a type of episodic memory in long term memory - is known in the literature to be affected by emotion, aging and the modality of the presented stimuli. The major aim of this study was to investigate whether emotional stimuli enhances recognition memory. Another goal was to observe whether modality and aging effects are present and differentiable in a non-Western subject sample. In literature, emotion studies were based on mainly two dimensions of emotions: valence and arousal. However, the contribution of these two dimensions to the enhancement of recognition memory still needs clarification. The present study investigated specifically the effect of valence on recognition memory. Moreover, the experimental manipulations of this study allowed observing the effect of valence on recognition memory due to normal aging. Since modality of the presented stimuli is a major confounding factor on recognition, separate experiments involving visual and verbal stimuli were designed. Pictures and words were selected on the basis of valence and arousal ratings. The stimulus set of the visual recognition memory task consisted of the pictures selected from the International Affective Picture System (IAPS) (Lang et al., 2005). The stimulus set of the verbal recognition memory task was constructed from partially standardized material for affective norms of Turkish emotional words (METU TEW), which was developed as a part of this study. METU TEW allowed selecting words with positive, neutral and negative valence while controlling arousal. The results replicated two findings reported in the literature: (1) younger adults recognized more accurately than older adults(2) recognition memory was enhanced for visual items regardless of age and valence. Interestingly, this study revealed that recognition memory was not enhanced for emotional stimuli varying only on the valence dimension. More specifically, there was a decline in recognition memory for positive items and no change was observed for negative items, regardless of age. Further analysis also revealed that there may be differential effects of abstractness and concreteness on verbal recognition memory in aging.
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Williams, Kate Elizabeth. "The representation of colour in episodic object memory : evidence from a recognition-induced forgetting paradigm." Thesis, Swansea University, 2014. https://cronfa.swan.ac.uk/Record/cronfa42652.
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Empirical evidence suggesting colour influences object recognition is mixed; leading to conclusions that colour may not always be represented in object memory. Positive evidence for the representation of colour in episodic object memory is often complicated by the possibility that encoding specificity may be responsible for such observations. The current thesis examined whether colour is represented and makes an independent contribution of shape in episodic memory for familiar and novel objects, using a modified paradigm based on the typical retrieval- practice task (e.g., Anderson, Bjork, & Bjork, 1994). Participants studied pictures of objects, presented one at a time. In a subsequent practice phase, participants either performed Old/New recognition with a subset of the studied objects and their distractors (Experiments 1-7), or they rated a subset of the studied objects for attractiveness, complexity, and usefulness (Experiments 8 and 9). The critical manipulation concerned the nature of unpracticed objects. Unpracticed objects shared either shape only (Rp- Shape), colour only (Rp-Colour), both shape and colour (Rp-Both), or neither shape nor colour (Rp-Neither), with the practiced objects. Interference effects in memory between practiced and unpracticed items are revealed m the forgetting of related unpracticed items - retrieval-induced forgetting (RIF). If both shape and colour information is explicit in the object representations in episodic memory, then there would be significant RIF for unpracticed objects sharing shape only and colour only with the practiced objects. RIF was significant for Rp-Shape and Rp-Colour objects, suggesting that shape and colour are represented and independently drive competition effects in episodic object memory. The use of RIF to probe those representations improves on previous evidence, because it bypasses alternative encoding specificity explanations. The current work provides proof of concept for a modified retrieval-practice paradigm and establishes it as a tool to probe feature- based representations that do not easily lend themselves to retrieval practice.
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Parks, Sherrie L. "The sound of music: The influence of evoked emotion on recognition memory for musical excerpts across the lifespan." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/theses/1143.
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TITLE: THE SOUND OF MUSIC: THE INFLUENCE OF EVOKED EMOTION ON RECOGNITION MEMORY FOR MUSICAL EXCERPTS ACROSS THE LIFESPAN Socioemotional Selectivity Theory (Carstensen, 1999) posits that as people age, they selectively focus on positive aspects of emotional stimuli as opposed to negative as a way of regulating emotions. Thus, older adults remember positive information better than negative. This hypothesis has been tested extensively with visual stimuli, but rarely with auditory stimuli. Findings from this study provide support in the auditory domain. In this study, 135 younger, middle-aged, and older adults heard consonant (pleasant) and dissonant (unpleasant) musical excerpts. Participants were randomly assigned to either a Study Only condition, in which they heard excerpts and studied them for later recognition, a Rate Only condition, in which they rated the excerpts and were tested later in a surprise recognition test, or a Rate and Study condition, in which they rated and studied the excerpts for later recognition. Results indicated that younger, middle-aged and older adults remembered consonant (pleasant) musical excerpts better than dissonant (unpleasant) musical excerpts overall and provide support for the hypotheses of the Socioemotional Selectivity Theory.
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Schöner, Julian. "On Empathy, Memory, and Genetics: What Role Does Human Age Play?" Thesis, Stockholms universitet, Psykologiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-87168.
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Empathy and memory are two central aspects that make us human. In the following work, I combined these two areas with genetics and asked how they would interrelate against the background of age. At study, 28 younger and 32 older adults went through an item recognition/source memory paradigm with neutral and emotional (i.e., angry) faces. Dispositional empathy was measured using the Interpersonal Reactivity Index (IRI) and the Empathy Quotient (EQ). Further, 13 single-nucleotide polymorphisms (SNPs) from mainly oxytocin receptors (OXTR) were extracted. Results revealed that older adults had a lower score on the Fantasy dimension of the IRI. Younger and older adults did not differ in hit rate, but older adults showed a higher false alarm rate for neutral source memory. For emotional item recognition, older adults showed a higher liberal response bias whereas, for neutral source memory, younger adults showed a higher conservative response bias. For both memory and empathy, main effects and age interactions were found for OXTR rs237887, rs237897, rs2254298, rs4564970, and rs4686302. These findings illustrated the close interconnectivity of memory, empathy, and genetics over the human life span.
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Nakisa, Bahareh. "Emotion classification using advanced machine learning techniques applied to wearable physiological signals data." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/129875/9/Bahareh%20Nakisa%20Thesis.pdf.
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This research contributed to the development of advanced feature selection model, hyperparameter optimization and temporal multimodal deep learning model to improve the performance of dimensional emotion recognition. This study adopts different approaches based on portable wearable physiological sensors. It identified best models for feature selection and best hyperparameter values for Long Short-Term Memory network and how to fuse multi-modal sensors efficiently for assessing emotion recognition. All methods of this thesis collectively deliver better algorithms and maximize the use of miniaturized sensors to provide an accurate measurement of emotion recognition.
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Camblats, Anna-Malika. "Etude des processus d’activation et d’inhibition lexico-émotionnelles dans des tâches de reconnaissance visuelle de mots et de catégorisation de couleurs de mots." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0367/document.
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L'objectif de cette thèse était d‟étudier les processus d'activation et d'inhibition lexicales sous-tendant la lecture de mots et de déterminer le rôle du système affectif sur ces processus chez l'adulte. Pour cela, nous avons testé les effets de fréquence du voisinage orthographique et de l'émotionalité de ce voisinage dans plusieurs tâches cognitives. Les résultats ont montré un effet de fréquence du voisinage orthographique qui était inhibiteur dans des tâches de reconnaissance visuelle de mots (Expériences 1-4) et facilitateur dans des tâches de catégorisation de couleur de mots (Expériences 6-8). L'inhibition lexicale ralentirait la reconnaissance du mot stimulus et diminuerait ainsi son effet d'interférence dans des tâches de type Stroop. De plus, la valence et le niveau d'arousal du voisin plus fréquent modifiaient également la vitesse de reconnaissance du mot stimulus (Etude préliminaire, Expérience 1-5) et la catégorisation de sa couleur (Expériences 6, 7 et 9). Le système affectif s'activerait lors de la lecture de mots avec un voisin émotionnel et modifierait la propagation d'activation et d'inhibition lexico-émotionnelles. De plus, les résultats indiquaient que ces effets de voisinage orthographique étaient sensibles aux caractéristiques des participants. Une diminution de l'effet de fréquence du voisinage selon l'âge a été montrée et interprétée en termes de déficits conjoints d'activation et d'inhibition lexicales (Expériences 4, 5, 8 et 9). Enfin, l'effet du voisinage émotionnel obtenu suggérait une préservation des processus lexico-émotionnels avec l'avancée en âge (Expériences 4, 5 et 9), mais cet effet était corrélé négativement avec le niveau d'alexithymie des individus (Expériences 2, 4 et 6). Dans l'ensemble, ces données soulignent l‟importance de la prise en compte du système affectif dans les modèles de reconnaissance visuelle des motsThe aim of this thesis was to study lexical activation and inhibition processes underlying word reading and to determine the role of affective system on these processes in adults. For this, we investigated the effects of orthographic neighbourhood frequency and emotionality of this neighbourhood in several cognitive tasks. Results showed an orthographic neighbourhood frequency effect that was inhibitory in visual word recognition tasks (Experiments 1-4) and facilitatory in colour categorization tasks (Experiments 6-8). Lexical inhibition likely slows down the recognition of the stimulus word as well as diminishing its interference effect in Stroop-like tasks. Moreover, emotional valence and arousal level of the higher-frequency neighbour also modified the speed of stimulus word recognition (Preliminary study, Experiments 1-5) and its colour categorization (Experiments 6, 7 and 9). Thus, the affective system would be activated during reading of words with an emotional neighbour and would modify the spread of lexico-emotional activation and inhibition. Moreover, results indicated that these orthographic neighbourhood effects were sensitive to participants‟ characteristics. A decreaseof the orthographic neighbourhood effect depending on age was shown and interpreted in terms of deficits in both activation and inhibition processes (Experiments 4, 5, 8 and 9). Finally, the emotional neighbourhood effect that was obtained suggested a preservation of lexico-emotional processes with advance in age (Experiments 4, 5, and 9), but this effect was negatively correlated with individuals' level of alexithymia (Experiments 2, 4, and 6). Taken together, thes data underline the importance of taking the affective system into account in models of visual word recognition
Books on the topic "Colour, recognition memory, emotion"
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Lazarov, Amit, Adva Segal, and Yair Bar-Haim. Cognitive Training and Technology in the Treatment of Children and Adolescents. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.47.
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Cognitive training approaches in the treatment of pediatric psychopathology rely on the identification of specific aberrant cognitive processes that could be targeted for rectification via training. Such processes include threat-related attention and interpretation, working memory, and emotion recognition, among others. A selective review is given of mental processes that have been identified as potential targets for psychological treatment and the technologies that could be harnessed for such therapeutic targeting. Implementation of cognitive training procedures in the treatment of children, adolescents, and adults is described, and their clinical efficacy is evaluated. Recent technologies harnessed for the implementation of cognitive training protocols, such as eye-tracking, virtual reality, and neuromodulation, are described and their potential applications in novel therapeutic procedures and in improvement of extant cognitive training protocols are discussed.
Book chapters on the topic "Colour, recognition memory, emotion"
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Bhowmik, Subhrajit, Akshay Chatterjee, Sampurna Biswas, Reshmina Farhin, and Ghazaala Yasmin. "Speech-Based Emotion Classification for Human by Introducing Upgraded Long Short-Term Memory (ULSTM)." In Computational Intelligence in Pattern Recognition, 101–12. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2449-3_8.
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Tayal, Shikha, and Sandip Vijay. "Human Emotion Recognition and Classification from Digital Colour Images Using Fuzzy and PCA Approach." In Advances in Intelligent Systems and Computing, 1033–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30111-7_100.
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Brewer, Madeline, and Jessica Sharmin Rahman. "Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition." In Neural Information Processing, 343–52. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63836-8_29.
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Rodrigues, J. M. F., R. Lam, K. Terzić, and J. M. H. du Buf. "Face and Object Recognition Using Biological Features and Few Views." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 58–77. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6252-0.ch004.
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In recent years, a large number of impressive face and object recognition algorithms have surfaced, both computational and biologically inspired. Only a few of these can detect face and object views. Empirical studies concerning face and object recognition suggest that faces and objects may be stored in our memory by a few canonical representations. In cortical area V1 exist double-opponent colour blobs, also simple, complex, and end-stopped cells that provide input for a multiscale line and edge representation, keypoints for dynamic feature routing, and saliency maps for Focus-of-Attention. All these combined allow us to segregate faces. Events of different facial views are stored in memory and combined in order to identify the view and recognise a face, including its expression. The authors show that with five 2D views and their cortical representations it is possible to determine the left-right and frontal-lateral-profile views, achieving view-invariant recognition. They also show that the same principle with eight views can be applied to 3D object recognition when they are mainly rotated about the vertical axis. Although object recognition is here explored as a special case of face recognition, it should be stressed that faces and general objects are processed in different ways in the cortex.
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Saxena, Suchitra, Shikha Tripathi, and Sudarshan Tsb. "Deep Robot-Human Interaction with Facial Emotion Recognition Using Gated Recurrent Units & Robotic Process Automation." In Machine Learning and Artificial Intelligence. IOS Press, 2020. http://dx.doi.org/10.3233/faia200773.
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This research work proposes a Facial Emotion Recognition (FER) system using deep learning algorithm Gated Recurrent Units (GRUs) and Robotic Process Automation (RPA) for real time robotic applications. GRUs have been used in the proposed architecture to reduce training time and to capture temporal information. Most work reported in literature uses Convolution Neural Networks (CNN), Hybrid architecture of CNN with Long Short Term Memory (LSTM) and GRUs. In this work, GRUs are used for feature extraction from raw images and dense layers are used for classification. The performance of CNN, GRUs and LSTM are compared in the context of facial emotion recognition. The proposed FER system is implemented on Raspberry pi3 B+ and on Robotic Process Automation (RPA) using UiPath RPA tool for robot human interaction achieving 94.66% average accuracy in real time.
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Chavan, Puja A., and Sharmishta Desai. "A Review on BCI Emotions Classification for EEG Signals Using Deep Learning." In Recent Trends in Intensive Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210241.
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Emotion awareness is one of the most important subjects in the field of affective computing. Using nonverbal behavioral methods such as recognition of facial expression, verbal behavioral method, recognition of speech emotion, or physiological signals-based methods such as recognition of emotions based on electroencephalogram (EEG) can predict human emotion. However, it is notable that data obtained from either nonverbal or verbal behaviors are indirect emotional signals suggesting brain activity. Unlike the nonverbal or verbal actions, EEG signals are reported directly from the human brain cortex and thus may be more effective in representing the inner emotional states of the brain. Consequently, when used to measure human emotion, the use of EEG data can be more accurate than data on behavior. For this reason, the identification of human emotion from EEG signals has become a very important research subject in current emotional brain-computer interfaces (BCIs) aimed at inferring human emotional states based on the EEG signals recorded. In this paper, a hybrid deep learning approach has proposed using CNN and a long short-term memory (LSTM) algorithm is investigated for the purpose of automatic classification of epileptic disease from EEG signals. The signals have been processed by CNN for feature extraction from runtime environment while LSTM has used for classification of entire data. Finally, system demonstrates each EEG data file as normal or epileptic disease. In this research to describes a state of art for effective epileptic disease detection prediction and classification using hybrid deep learning algorithms. This research demonstrates a collaboration of CNN and LSTM for entire classification of EEG signals in numerous existing systems.
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"Epilogue." In Reductive Model of the Conscious Mind, 283–93. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5653-5.ch009.
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The future will most likely bring machines with artificial conscious minds, that at some point will be more intelligent than we are. But their minds will be also different than ours. Will we be able to understand them? Will they understand us? A sense of consciousness is a simple, direct feeling, so it is a quale! This is a subjective, first-person experience. We will never be able to describe it in a strictly symbolic language and even less so in formal one such as mathematics, geometry, or logic. Reflecting on how we can understand our own consciousness, we must consider the foundation for understanding. A sense of understanding requires the compatibility of a stimulant signal with activated cognitive memory fields. The feeling of consciousness is related to every act of recognition and the attribute of reflective consciousness is to realize that we are conscious. The essence of consciousness is to build a model of reality, to define/understand its place in this reality, and to feel emotion and satisfaction arising from that fact. The mind understands what can be “good” for it in the shorter and longer term. The formulation of the long-term goal of existence constitutes a sense of self-existence and, consequently, the meaning of the world as a tool for fulfilling one's mission in this world. It is astonishing that if we ask about the purpose and meaning of the matter, we must admit that no such purpose exists, if there is no consciousness for which we could formulate such a purpose. Thus, the meaning and purpose of the existence of matter is the emergence of consciousness. This sense arises at the moment when consciousness arises. The presented model of a motivated emotional mind explains the main features of the human psyche. It explains how reflective and phenomenal consciousness are created, how the mind formulates the meaning and purpose of a person's existence and the meaning of the world around him, how he obtains his free will, and how he can effectively act for his own good. It explains how the need for understanding, harmony, and beauty can create art, ethics, and goodness, how emotions directing the mind can unleash feelings of empathy and love. It also explains that to fulfill these functions, to learn everything that is good and noble but also what is evil and immoral, it is necessary to have a body able to influence the environment and the mind to reflect on it.
Conference papers on the topic "Colour, recognition memory, emotion"
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Sie Ching Siow, Chu Kiong Loo, Alan WC Tan, and Wei Shiung Liew. "Adaptive Resonance Associative Memory for multi-channel emotion recognition." In 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, 2010. http://dx.doi.org/10.1109/iecbes.2010.5742261.
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Cao, Miao, Chun Yang, Fang Zhou, and Xu-cheng Yin. "Pyramid Memory Block and Timestep Attention for Speech Emotion Recognition." In Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-3140.
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Hazarika, Devamanyu, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, and Roger Zimmermann. "Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos." In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/n18-1193.
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Hagar, Ahmed F., Hazem M. Abbas, and Mahmoud I. Khalil. "Emotion Recognition In Videos For Low-Memory Systems Using Deep-Learning." In 2019 14th International Conference on Computer Engineering and Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces48960.2019.9068168.
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Lasiman, Jeremia Jason, and Dessi Puji Lestari. "Speech Emotion Recognition for Indonesian Language Using Long Short-Term Memory." In 2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA). IEEE, 2018. http://dx.doi.org/10.1109/ic3ina.2018.8629525.
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Li, Jeng-Lin, and Chi-Chun Lee. "Using Speaker-Aligned Graph Memory Block in Multimodally Attentive Emotion Recognition Network." In Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-1688.
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Chao, Linlin, Jianhua Tao, Minghao Yang, Ya Li, and Zhengqi Wen. "Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition." In MM '15: ACM Multimedia Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808196.2811634.
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Kokane, Ved, Prasad Nijai, Vikas Jamge, and Tatwadarshi P. Nagarhalli. "Speech Emotion Recognition using Convolutional Neural Networks and Long Short-Term Memory." In 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2022. http://dx.doi.org/10.1109/icoei53556.2022.9776907.
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Alexander, Victoria, Mark Bahr, and Richard Hicks. "Assessing Differences in Emotion Recognition, Non-Verbal Memory and Verbal Memory Between Young, Middle Old and Older Adults." In Annual International Conference on Cognitive and Behavioral Psychology (CBP 2014). GSTF, 2014. http://dx.doi.org/10.5176/2251-1865_cbp14.37.
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"SEGMENTED–MEMORY RECURRENT NEURAL NETWORKS VERSUS HIDDEN MARKOV MODELS IN EMOTION RECOGNITION FROM SPEECH." In International Conference on Neural Computation Theory and Applications. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003644003080315.
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