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Paraverbal Expression of Verbal Irony: Vocal Cues Matter and Facial Cues Even More
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In: ISSN: 0191-5886 ; EISSN: 1573-3653 ; Journal of Nonverbal Behavior ; https://hal.archives-ouvertes.fr/hal-03377915 ; Journal of Nonverbal Behavior, Springer Verlag, 2021, ⟨10.1007/s10919-021-00385-z⟩ (2021)
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A Cross-cultural Study of Serbian and English Native Speakers’ Non-verbal Actions and Identity During a Videoconferencing Task in New Zealand
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Integration of Social Context vs. Linguistic Reference During Situated Language Processing ...
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THE IMPORTANCE OF NON-VERBAL COMMUNICATIONIN TEACHING AND LEARNINGA FOREIGN LANGUAGE ...
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THE IMPORTANCE OF NON-VERBAL COMMUNICATIONIN TEACHING AND LEARNINGA FOREIGN LANGUAGE ...
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The impact of facial expressions in consumer purchase decision
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Integration of Social Context vs. Linguistic Reference During Situated Language Processing
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Multimodal practices for negative assessments as delicate matters: Incomplete syntax, facial expressions, and head movements
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In: Open Linguistics, Vol 7, Iss 1, Pp 549-568 (2021) (2021)
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Some consideration on expressive audiovisual speech corpus acquisition using a multimodal platform
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02907046 ; Language Resources and Evaluation, Springer Verlag, 2020, ⟨10.1007/s10579-020-09500-w⟩ ; https://link.springer.com/article/10.1007%2Fs10579-020-09500-w (2020)
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A Comparison of the Affectiva iMotions Facial Expression Analysis Software With EMG for Identifying Facial Expressions of Emotion
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Providing Students with Multimodal Feedback Experiences
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In: Journal of Curriculum, Teaching, Learning and Leadership in Education (2020)
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Visual Behavior, Pupil Dilation, and Ability to Identify Emotions From Facial Expressions After Stroke
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Annotation and data-driven synthesis of facial expressions of French sign language ; Annotation et synthèse basée données des expressions faciales de la Langue des Signes Française
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In: https://hal.archives-ouvertes.fr/tel-03080311 ; Computer science. Université Bretagne-Sud, 2019. English (2019)
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System for Face Recognition under Different Facial Expressions Using a New Associative Hybrid Model Amαβ-KNN for People with Visual Impairment or Prosopagnosia
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In: Sensors ; Volume 19 ; Issue 3 (2019)
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Aspie Quiz: projeto de aplicação móvel de apoio à identificação de emoções, para portadores de Síndrome de Asperger
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Predicting free-riding in a public goods game: Analysis of content and dynamic facial expressions in face-to-face communication
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Abstract:
This paper illustrates how audio-visual data from pre-play face-to-face communication can be used to identify groups which contain free-riders in a public goods experiment. It focuses on two channels over which face-to-face communication influences contributions to a public good. Firstly, the contents of the face-to-face communication are investigated by categorising specific strategic information and using simple meta-data. Secondly, a machine-learning approach to analyse facial expressions of the subjects during their communications is implemented. These approaches constitute the first of their kind, analysing content and facial expressions in face-to-face communication aiming to predict the behaviour of the subjects in a public goods game. The analysis shows that verbally mentioning to fully contribute to the public good until the very end and communicating through facial clues reduce the commonly observed end-game behaviour. The length of the face-to-face communication quantified in number of words is further a good measure to predict cooperation behaviour towards the end of the game. The obtained findings provide first insights how a priori available information can be utilised to predict free-riding behaviour in public goods games.
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Keyword:
automatic facial expressions recognition; C80; C92; content analysis; D91; ddc:330; face-to-face communication; public goods experiment
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URN:
urn:nbn:de:gbv:3:2-107530
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URL: http://hdl.handle.net/10419/196589
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Impact of the face registration techniques on facial expressions recognition
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In: ISSN: 0923-5965 ; EISSN: 1879-2677 ; Signal Processing: Image Communication ; https://hal.archives-ouvertes.fr/hal-01644769 ; Signal Processing: Image Communication, Elsevier, 2018, 61, pp.44-53. ⟨10.1016/j.image.2017.11.002⟩ (2018)
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A study of facial expression recognition technologies on deaf adults and their children
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