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Relevant bibliographies by topics / Emotional information processing

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Academic literature on the topic 'Emotional information processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Emotional information processing"

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Alvandi, Ebrahim Oshni. "Emotions and Information Processing." International Journal of Synthetic Emotions 2, no. 1 (2011): 1–14. http://dx.doi.org/10.4018/jse.2011010101.

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An animate system standing in nature and trying to investigate its surroundings for different purposes does a type of cognitive processing. Emotions as mental states are leading human cognitive features that attract life by interactions processed in the world. This paper examines how this cognitive feature process works. By researching history and theories related to emotions and their generation, it becomes clear that information processing is discussed as a tool for their processes. Three different styles of information processing are evaluated for emotional processes. The pragmatic notion of information processing fits as a processing tool in modeling emotions and artificial emotions and explains the emotional process.

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Austin, Elizabeth J. "Emotional intelligence and emotional information processing." Personality and Individual Differences 39, no. 2 (2005): 403–14. http://dx.doi.org/10.1016/j.paid.2005.01.017.

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Schönenberg, Michael, Alexander Schneidt, Eva Wiedemann, and Aiste Jusyte. "Processing of Dynamic Affective Information in Adults With ADHD." Journal of Attention Disorders 23, no. 1 (2015): 32–39. http://dx.doi.org/10.1177/1087054715577992.

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Objective: ADHD has been repeatedly linked to problems in social functioning. Although some theories assume that the emotion recognition deficits are explained by general attentional deficits, mounting evidence suggests that they may actually constitute a distinct impairment. However, it remains unclear whether the deficient processing affects specific emotional categories or may generalize to all basic emotions. The present study aims to investigate these questions by assessing the sensitivity to all six basic emotions in adults with ADHD. Method: The participants judged the emotion onset in animated morph clips displaying facial expressions that slowly changed from neutral to emotional. Results: ADHD participants exhibited an impaired recognition of sad and fearful facial expressions. Conclusion: The present findings indicate that ADHD is possibly associated with a specific deficit in the recognition of facial emotions signaling negative social feedback.

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Dodonova, Yulia A., and Yury S. Dodonov. "Speed of emotional information processing and emotional intelligence." International Journal of Psychology 47, no. 6 (2012): 429–37. http://dx.doi.org/10.1080/00207594.2012.656131.

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Szczygieł, Dorota, Jacek Buczny, and Róża Bazińska. "Emotion regulation and emotional information processing: The moderating effect of emotional awareness." Personality and Individual Differences 52, no. 3 (2012): 433–37. http://dx.doi.org/10.1016/j.paid.2011.11.005.

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Franken, I. H. A., P. Muris, I. Nijs, and J. W. Van Strien. "Fast processing of pleasant emotional information." International Journal of Psychophysiology 69, no. 3 (2008): 222. http://dx.doi.org/10.1016/j.ijpsycho.2008.05.061.

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Freudenthaler, H. Harald, Andreas Fink, and Aljoscha C. Neubauer. "Emotional abilities and cortical activation during emotional information processing." Personality and Individual Differences 41, no. 4 (2006): 685–95. http://dx.doi.org/10.1016/j.paid.2006.02.016.

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Mazefsky, Carla A., Amanda Collier, Josh Golt, and Greg J. Siegle. "Neural features of sustained emotional information processing in autism spectrum disorder." Autism 24, no. 4 (2020): 941–53. http://dx.doi.org/10.1177/1362361320903137.

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Emotion dysregulation is common in autism spectrum disorder; a better understanding of the underlying neural mechanisms could inform treatment development. The tendency toward repetitive cognition in autism spectrum disorder may also increase susceptibility to perseverate on distressing stimuli, which may then increase emotion dysregulation. Therefore, this study investigated the mechanisms of sustained processing of negative information in brain activity using functional magnetic resonance imaging. We used an event-related task that alternated between emotional processing of personally relevant negative words, neutral words, and a non-emotional task. A priori criteria were developed to define heightened and sustained emotional processing, and feature conjunction analysis was conducted to identify all regions satisfying these criteria. Participants included 25 adolescents with autism spectrum disorder and 23 IQ-, age-, and gender-matched typically developing controls. Regions satisfying all a priori criteria included areas in the salience network and the prefrontal dorsolateral cortex, which are areas implicated in emotion regulation outside of autism spectrum disorder. Collectively, activity in the identified regions accounted for a significant amount of variance in emotion dysregulation in the autism spectrum disorder group. Overall, these results may provide a potential neural mechanism to explain emotion dysregulation in autism spectrum disorder, which is a significant risk factor for poor mental health. Lay abstract Many individuals with autism spectrum disorder struggle with emotions that are intense and interfering, which is referred to as emotion dysregulation. Prior research has established that individuals with autism may be more likely than individuals who are not autistic to have repetitive thoughts. It is possible that persistent thoughts about negative or distressing stimuli may contribute to emotion dysregulation in autism spectrum disorder. This study aimed to identify areas of the brain with evidence of persistent processing of negative information via functional magnetic resonance neuroimaging. We used a task that alternated between emotional processing of personally relevant negative words, neutral words, and a non-emotional task. Criteria were developed to define heightened and persistent emotional processing, and analyses were conducted to identify all brain regions satisfying these criteria. Participants included 25 adolescents with autism spectrum disorder and 23 typically developing adolescents who were similar to the autism spectrum disorder group in IQ, age, and gender ratios. Brain regions identified as having greater and continued processing following negative stimuli in the autism spectrum disorder group as compared with the typically developing group included the salience network and the prefrontal dorsolateral cortex. These areas have been previously implicated in emotion dysregulation outside of autism spectrum disorder. Collectively, brain activity in the identified regions was associated with parent-reported emotion dysregulation in the autism spectrum disorder group. These results help to identify a potential process in the brain associated with emotion dysregulation in autism spectrum disorder. This information may be useful for the development of treatments to decrease emotion dysregulation in autism spectrum disorder.

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Fiori, Marina, Shagini Udayar, and Ashley Vesely-Maillefer. "Introducing A New Component Of Emotional Intelligence: Emotion Information Processing." Academy of Management Proceedings 2019, no. 1 (2019): 17276. http://dx.doi.org/10.5465/ambpp.2019.17276abstract.

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Davou, Bettina. "Interaction of Emotion and Cognition in the Processing of Textual Material." Meta 52, no. 1 (2007): 37–47. http://dx.doi.org/10.7202/014718ar.

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Abstract Cognitive psychology and cognitive science have only recently come to acknowledge that human beings are not “pure” cognitive systems, and that emotions may be more than simply another form of cognition. This paper presents recent theoretical issues on the interaction of cognition with emotion, drawing on findings from evolutionary, neurobiological and cognitive research. These findings indicate that emotions have a fundamental and, often, universal importance for human cognitive functioning. Advanced cognitive processing, such as the processing required for text comprehension and translation, most of the time follows after a first, primary appraisal of the emotional impact of the information on the reader. This type of appraisal is momentary, non-conscious and non-cognitive, and is carried out by some system in the organism that functions with its own distinctive rules, different from those of the cognitive system. Emotional appraisal of the information sets the mode in which the organism (including its cognitive processes) will operate. Evidence suggests that negative emotions can instantly and non-consciously increase processing effort and time and decrease cognitive capacity, while on the other hand, positive emotions generally increase cognitive resources and expand attention and creativity. This implies that both cognitive processing of textual information, as well as its outcome, are influenced not only by the interpreters cognitive skill or by the emotional features of the text per se (the emotional impact that the writer has attempted to generate), but also (and perhaps most importantly) by the subjective emotional significance that the information has for each individual interpreter.

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Dissertations / Theses on the topic "Emotional information processing"

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Bradbury, Katherine E. "Information processing biases in emotional disorders." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368153.

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Orgeta, Vasiliki. "Age differences in the processing of emotional information." Thesis, University of Aberdeen, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446568.

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The present PhD examines age-related differences in the processing of emotional information. Consistent with neuropsychological perspectives of ageing, a number of studies have demonstrated that age exerts a detrimental influence on the ability to recognise facial emotion. The present PhD presents the results of three individual experimental studies conducted to assess age-related differences in the ability to decode facial affect. Age-related differences were observed in the ability to label both high and low intensity of specific facial expressions of emotion, which were partly explained by age-related variance in processing speed (Study 1). Manipulating the number of labels available in an emotion labelling task influenced older adults’ ability to label facial emotion. Age-related decrements in labelling facial affect were limited to 4- and 6- choice labelling conditions, providing support for the hypothesis that age-related emotion recognition deficits vary as a function of type of task used (Study 2). Age-related deficits in recognizing facial emotion do not extend beyond tasks that do not require labelling, such as matching facial emotion, providing further support for the hypothesis that they are task specific (Study 3). In line with socio-cognitive perspectives, a number of studies demonstrate that older adults exhibit a tendency to direct their attention away from negative facial expressions. The present PhD presents data of two individual experimental studies, demonstrating that the effects of age on the selective attention to emotion reflect conscious control (Study 4) and efforts to regulate emotion (Study 5). Overall the results provide evidence that age-related differences in the processing of emotional information are more likely to be observed when deliberative processes are required. On the other hand measures of affect that are less demanding are more likely to show a positive trajectory with increasing age.

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Rohr, Michaela [Verfasser]. "Masked processing of emotional information beyond valence / Michaela Rohr." Aachen : Shaker, 2014. http://d-nb.info/1060621762/34.

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Davies, David R. T. "Selective processing of emotional information in subclinical depression and hypomania." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0011/MQ33359.pdf.

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Ashley, Christy A. "Information processing in consumer relationships : the effect of emotional commitment /." View online ; access limited to URI, 2006. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3225310.

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Corus, Canan. "Emotional Certainty and Health Communications." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27133.

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At risk individuals tend to avoid information that might perturb their sense of security. I propose certainty appraisal as an important emotional dimension that affects health message processing and persuasion. Specifically, I suggest that emotions high on certainty appraisal can provide confidence to cope with the insecurity instigated by threatening health communications. Five studies are proposed to demonstrate the interaction of certainty appraisal with two health message characteristics: vulnerability to threat and response efficacy. Studies 1-3 provide evidence that when a health threat is highly self-relevant uncertainty related emotions impede processing whereas certainty related emotions facilitate it. Studies 4-5 show that individuals who are feeling uncertain prefer to attend a high efficacy message as it offers reassurance via useful recommendations. The findings extend affect regulation theories to involve emotional uncertainty as a state to be "repaired" by avoiding further deterioration or striving for restoration.<br>Ph. D.

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Shostak, Lisa. "Social information processing, emotional face recognition and emotional response style in offending and non-offending adolescents." Thesis, King's College London (University of London), 2007. https://kclpure.kcl.ac.uk/portal/en/theses/social-information-processing-emotional-face-recognition-and-emotional-response-style-in-offending-and-nonoffending-adolescents(15ff1b2d-1e52-46b7-be1a-736098263ce1).html.

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Child, Scarlett. "Overcome with emotions : understanding the effects of emotional information in text on reading comprehension and processing." Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/80550/.

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This thesis explores the effects of emotional information about characters in text on processing. In five chapters presenting nine experiments in total, readers were presented with emotional characters that occurred either in small texts or in sentences. In the second chapter, it was investigated whether mental representations of entities in sentences are more salient and easier to retrieve due to emotional information. In the third chapter, the effects of emotional information about multiple different characters on processing were explored. The forth chapter presents experiments on perspective taking and how perspective affects the way emotional information is processed. Building up on that, in chapter 5, it was investigated how the mood of the reader influences perspective taking when reading about emotional information. All experiments in the first four chapters used a self-paced reading method to explore effects on reading speed (reading times). Chapter 6, however, presents an eye-tracking experiment set out to explore the effects of perspective on reading behaviour in more detail and to determine where perspective differences arise in the text. Hence, pronoun regions (including perspective cues) across the text were analysed. The findings presented in this thesis gave evidence that readers focus more on emotional characters (that emotional characters are more salient), and that readers also engage more with (emotional) texts when they experience the situation from a personal perspective. All experiments gave evidence that readers track and use emotional information to form a coherent representation of the text.

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Nikolova, Zornitza T. [Verfasser]. "Processing of emotional information in patients with primary cervical dystonia / Zornitza Nikolova." Hannover : Bibliothek der Tierärztlichen Hochschule Hannover, 2012. http://d-nb.info/1018829024/34.

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Fone, Rebecca Helen. "Processing of emotional information in the context of pre and postnatal depression." Thesis, University of Oxford, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599884.

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The perinatal period can represent a transitional stage in women's lives when they are more vulnerable to psychological distress. Depression during this period can have devastating consequences, not only for the women experiencing it but also for their children, who are more likely to have cognitive, behavioural and attachment problems. One suggested mechanism for transmission of this increased risk is disturbances in mother-child interactions and maternal responsivity which have been associated with postnatal depression (PND). These may be affected by how mothers experience and perceive their infant's signals. The first paper reviews the literature regarding how women with PND and antenatal depression (AND) process emotional information such as facial expressions and vocal tone. Behavioural and neuro-imaging studies exploring processing of such stimuli in women with AND and PND are critically reviewed. The second paper investigates mothers' perceptions of emotional infant stimuli in the context of current and remitted PND. Despite maternal remission from PND, children of mothers who have experienced PND continue to be at risk of adverse outcomes. Evidence from studies of non-postnatal depression suggests that biases in the perception of emotional information can remain despite remission. Therefore a possible mechanism for the affects of PND on child outcomes is mother's impaired interpretation of information from their infants which may continue despite maternal remission from the depressive symptoms. The current study compared maternal ratings of infant facial expressions and infant vocalisations given by mothers with a current PND diagnosis (n=2 1) and those who had remitted from PND (n=52). Mothers taking part in a larger randomised control trial were asked to rate a number of infant facial expressions and infant vocalisations, each presenting a different level of emotion namely positive, muted positive, neutral, muted negative and negative. Results showed that mothers who had remitted from depression rated infant facial expressions differently to mothers with a current diagnosis of PND. However, no group differences were found for infant vocalisations. These findings suggest that the biases associated with PND for infant facial expressions are not present or do not influence mothers' interpretations of infant auditory stimuli in the same way. Alternatively, biases in interpretations of auditory stimuli may persist despite remission. This may have implications for focusing interventions that aim to improve mother-child interactions.

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Books on the topic "Emotional information processing"

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O'Donohue, Miriam. Cognitive processing of emotional information in non-clinical obsessional behaviour. The Author], 1997.

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Mohanty, Sachi Nandan, ed. Emotion and Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48849-9.

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P, Redlawsk David, ed. Feeling politics: Emotion in political information processing. Palgrave Macmillan, 2006.

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Nussinson, Ravit. Ben teḥushot ṿe-regashot le-ʻibud meidʻa = Between feelings, emotions, and information processing. ha-Universiṭah ha-petuḥah, 2014.

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H, Chen Homer, ed. Music emotion recognition. CRC, 2011.

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Questioning consciousness: The interplay of imagery, cognition, and emotion in the human brain. J. Benjamins, 1995.

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Vernon, Hamilton, Bower Gordon H, Frijda Nico H, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Cognitive perspectives on emotion and motivation. Kluwer Academic Publishers, 1988.

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Minsky, Marvin Lee. The emotion machine: Commensense thinking, artificial intelligence, and the future of the human mind. Simon & Schuster, 2006.

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Emotionen und Informationsverarbeitungsmodi: Die Anregung zweier Informationsverarbeitungsmodi durch die Basisemotionen Angst und Freude und deren Einfluss auf evaluative Urteile. P. Lang, 1993.

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Kognition, Emotion und psychische Beanspruchung: Theoretische und empirische Studien zu informationsverarbeitenden Tätigkeiten. Hogrefe, 1992.

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Book chapters on the topic "Emotional information processing"

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Yin, Yanjun, Weiqing Tang, and Weiqing Li. "Modeling Group Emotion Based on Emotional Contagion." In Intelligent Information Processing VI. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32891-6_31.

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Zhang, He, Mehmet Gönen, Zhirong Yang, and Erkki Oja. "Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning." In Neural Information Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42051-1_35.

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Zhao, Qibin, Akinari Onishi, Yu Zhang, Jianting Cao, Liqing Zhang, and Andrzej Cichocki. "A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli." In Neural Information Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24955-6_34.

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Zhang, Qing, and Minho Lee. "Analyzing the Dynamics of Emotional Scene Sequence Using Recurrent Neuro-Fuzzy Network." In Neural Information Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24965-5_38.

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Qin, Zhenyue, Tom Gedeon, and Sabrina Caldwell. "Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions." In Neural Information Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04224-0_18.

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Rajesh Kumar, E., A. K. V. S. N. Rama Rao, and Soumya Ranjan Nayak. "Emotional Level Classification and Prediction of Tweets in Twitter." In Emotion and Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48849-9_10.

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Mangla, Monika, Rakhi Akhare, Sanjivani Deokar, and Vaishali Mehta. "Employing Machine Learning for Multi-perspective Emotional Health Analysis." In Emotion and Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48849-9_13.

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Sahai, Seema, Richa Goel, and Mahima Punni. "Behavioral and Emotional Dimensions of Sexual Harassment at Workplace." In Emotion and Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48849-9_6.

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Giachanou, Anastasia, Paolo Rosso, Ida Mele, and Fabio Crestani. "Early Commenting Features for Emotional Reactions Prediction." In String Processing and Information Retrieval. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00479-8_14.

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Kayhani, Amir Kazem, Farid Meziane, and Raja Chiky. "Movies Emotional Analysis Using Textual Contents." In Natural Language Processing and Information Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51310-8_19.

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Conference papers on the topic "Emotional information processing"

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Pao, Tsang-Long, Charles S. Chien, Jun-Heng Yeh, Yu-Te Chen, and Yun-Maw Cheng. "Continuous Tracking of User Emotion in Mandarin Emotional Speech." In Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/iihmsp.2007.4457490.

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Kim, Jae-Bok, Jeong-Sik Park, and Yung-Hwan Oh. "On-line speaker adaptation based emotion recognition using incremental emotional information." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947466.

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"UNCONSCIOUS EMOTIONAL INFORMATION PROCESSING: THEORETICAL CONSEQUENCES AND PRACTICAL APPLICATIONS." In 9th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002355602070214.

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Bocos, Musata Dacia, and Yafit Shivhon-Sherf. "Integration Between Social Information Processing and Social-Emotional Competence." In ERD 2016 - Education, Reflection, Development, Fourth Edition. Cognitive-crcs, 2016. http://dx.doi.org/10.15405/epsbs.2016.12.8.

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Ma, Xie, Fang-Wen Zhang, Xiao Ma, Liu Xia, Yun Tao, and Yan Liu. "Emotional Information Processing by the Bilinguals under Cross- Channels." In 2019 IEEE International Conference on Computer Science and Educational Informatization (CSEI). IEEE, 2019. http://dx.doi.org/10.1109/csei47661.2019.8938918.

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Jung, Jong-Jin, Sukmin Kwon, Ji-Hoon Kim, and Ji-Yeon Kim. "Emotional Image Processing Using Sensors in Mobile Device." In 2013 International Conference on Information Science and Applications (ICISA). IEEE, 2013. http://dx.doi.org/10.1109/icisa.2013.6579378.

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Kaliyev, Arman, Yuri N. Matveev, Elena E. Lyakso, and Sergey V. Rybin. "Prosodic Processing for the Automatic Synthesis of Emotional Russian Speech." In 2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS). IEEE, 2018. http://dx.doi.org/10.1109/itmqis.2018.8525072.

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Shahin, Ismail. "Verifying speakers in emotional environments." In 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2009. http://dx.doi.org/10.1109/isspit.2009.5407568.

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Soares, Ana Paula, Marcia Filipa Costa, and Helena Mendes Oliveira. "How deep is your emotion? Emojis facial expressions on the emotional processing of text messages." In 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2021. http://dx.doi.org/10.23919/cisti52073.2021.9476441.

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Falk Jensen, Camilla B., Michael Kai Petersen, and Jakob Eg Larsen. "Emotional responses as independent components in EEG." In 2014 4th International Workshop on Cognitive Information Processing (CIP). IEEE, 2014. http://dx.doi.org/10.1109/cip.2014.6844509.

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