Conceptual and Computational Analysis of the Role of Emotions and Social Influence in Learning

Treur, Jan; Wissen, Arlette van

doi:10.1016/j.sbspro.2013.09.220

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…To our knowledge, this is the first evidence for a difference in this profile between adults with HFA and those with AS. Social learning theories highlight the importance of emotion, within social interactions, in facilitating social learning (Treur and van Wissen 2013 ). Facial expression mimicry during social interactions also enhances social coordination and improves quality of relationships (Hess and Bourgeois 2010 ).…”

Section: Discussionmentioning

confidence: 99%

Do Adults with High Functioning Autism or Asperger Syndrome Differ in Empathy and Emotion Recognition?

Montgomery

Allison

Lai

et al. 2016

J Autism Dev Disord

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The present study examined whether adults with high functioning autism (HFA) showed greater difficulties in (1) their self-reported ability to empathise with others and/or (2) their ability to read mental states in others’ eyes than adults with Asperger syndrome (AS). The Empathy Quotient (EQ) and ‘Reading the Mind in the Eyes’ Test (Eyes Test) were compared in 43 adults with AS and 43 adults with HFA. No significant difference was observed on EQ score between groups, while adults with AS performed significantly better on the Eyes Test than those with HFA. This suggests that adults with HFA may need more support, particularly in mentalizing and complex emotion recognition, and raises questions about the existence of subgroups within autism spectrum conditions.

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Section: Discussionmentioning

confidence: 99%

Do Adults with High Functioning Autism or Asperger Syndrome Differ in Empathy and Emotion Recognition?

Montgomery

Allison

Lai

et al. 2016

J Autism Dev Disord

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“…Several authors propose to develop systems for measuring non-prototypical emotions such as enjoyment, hope, pride, relief, anxiety, shame, hopelessness, boredom, etc. providing more natural communication between computing artefacts and users [21,23,32,36,37,41]. This problem may be solved by development of novel models for ambient aware systems that take into account emotional state of users [2,3,10,40].…”

Section: Emotion Sensing In Affective Computingmentioning

confidence: 99%

Unobtrusive emotion sensing and interpretation in smart environment

Starostenko

Cortés

Sánchez

et al. 2015

Journal of Ambient Intelligence and Smart Environments

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Currently, a particular focus of human centered technology is in expanding traditional contextual sensing and smart processing capabilities of ubiquitous systems exploiting user's affective and emotional states to develop more natural communication between computing artefacts and users. This paper presents a smart environment of Web services that has been developed to integrate and manage different existing and new emotion sensing applications, which working together provide tracking and recognition of human affective state in real time. In addition, two emotion interpreters based on the proposed 6-FACS and Distance models have been developed. Both models operate with encoded facial deformations described either in terms of Ekman's Action Units or Facial Animation Parameters of MPEG-4 standards. Fuzzy inference system based on reasoning model implemented in a knowledge base has been used for quantitative measurement and recognition of three-level intensity of basic and non-prototypical facial expressions. Designed frameworks integrated to smart environment have been tested in order to evaluate capability of the proposed models to extract and classify facial expressions providing precision of interpretation of basic emotions in range of 65-96% and non-prototypical emotions in range of 55-65%. The conducted tests confirm that such basic as non-prototypical expressions may be composed by other basic emotions establishing in this way the concordance between existing psychological models of emotions and Ekman's model traditionally used by affective computing applications.

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A survey of emotion recognition methods with emphasis on E-Learning environments

Imani

Montazer

2019

Journal of Network and Computer Applications

130

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Conceptual and Computational Analysis of the Role of Emotions and Social Influence in Learning

Cited by 3 publications

References 40 publications

Do Adults with High Functioning Autism or Asperger Syndrome Differ in Empathy and Emotion Recognition?

Do Adults with High Functioning Autism or Asperger Syndrome Differ in Empathy and Emotion Recognition?

Unobtrusive emotion sensing and interpretation in smart environment

A survey of emotion recognition methods with emphasis on E-Learning environments

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