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Visual Perception of Emotional and Conversational Facial Expressions.
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin :
Logos Verlag Berlin,
2015.
|
| Colección: | MPI Series in Biological Cybernetics Ser.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mu 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_on1021808799 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr |n|---||||| | ||
| 008 | 180203s2015 gw o 000 0 eng d | ||
| 040 | |a EBLCP |b eng |e pn |c EBLCP |d YDX |d MERUC |d EZ9 |d OCLCQ |d REDDC |d OCLCO |d VT2 |d OCLCF |d OCLCO |d OCLCQ |d OCLCO |d OCLCL | ||
| 019 | |a 1022081645 | ||
| 020 | |a 9783832595050 | ||
| 020 | |a 3832595058 | ||
| 020 | |z 9783832539696 | ||
| 020 | |z 3832539697 | ||
| 029 | 1 | |a AU@ |b 000068464379 | |
| 035 | |a (OCoLC)1021808799 |z (OCoLC)1022081645 | ||
| 050 | 4 | |a BF241 |b .K385 2015 | |
| 082 | 0 | 4 | |a 152.14 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Kaulard, Kathrin. | |
| 245 | 1 | 0 | |a Visual Perception of Emotional and Conversational Facial Expressions. |
| 260 | |a Berlin : |b Logos Verlag Berlin, |c 2015. | ||
| 300 | |a 1 online resource (228 pages). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a MPI Series in Biological Cybernetics Ser. ; |v v. 41 | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Intro; Declaration; Declaration of Contribution of the Candidate; Acknowledgements; Abstract; Table of Contents; List of Figures; List of Tables; 1 Synopsis; 1.1 Vision and Perception; 1.2 Representing and categorising emotional facial expressions; 1.3 Recognising static and dynamic facial expressions; 1.4 Beyond emotional facial expressions; 1.5 Aim and structure of the thesis; 1.5.1 Summary Chapter 2: The MPI Facial Expression Database: A Validated Database of Emotional and Conversational Facial Expressions. | |
| 505 | 8 | |a 1.5.2 Summary of Chapter 3: Beyond Emotions: Valence and Arousal drive the Evaluation of a large range of Emotional and Conversational Facial Expressions1.5.3 Summary of Chapter 4: Perceptual and Conceptual Representations of Facial Expressions: Making the Connection; 1.6 Conclusion; 1.7 Future Work; 2 The MPI Facial Expression Database:A Validated Database of Emotional and Conversational Facial Expressions; 2.1 Abstract; 2.2 Introduction; 2.3 Ethics Statement; 2.4 Development of the facial expression database; 2.4.1 Determination of facial expressions to be recorded; 2.4.2 Expression models. | |
| 505 | 8 | |a 2.4.3 Materials2.4.4 Video recordings; 2.4.5 Face Scan; 2.4.6 Audio Recordings; 2.5 Validation of the new facial expression database; 2.5.1 Participants; 2.5.2 Experimental design; 2.5.3 Materials; 2.5.4 Task and procedure; 2.5.5 Analysis and results for the context condition; 2.5.6 Analysis and results for the visual condition; 2.5.7 Brief comparison between conditions; 2.6 Discussion; 2.6.1 Conclusion; 2.6.2 Obtaining the database; 2.7 Acknowledgments; 2.8 Supplementary material. | |
| 505 | 8 | |a 3 Beyond Emotions: Valence and Arousal drive the Evaluation of a large range of Emotional and Conversational Facial Expressions3.1 Abstract; 3.2 Introduction; 3.3 Method; 3.3.1 Participants; 3.3.2 Materials; 3.3.3 Experimental design; 3.3.4 Task; 3.3.5 Procedure; 3.4 Results; 3.4.1 Data analysis; 3.4.2 Valence and arousal interpretation; 3.5 Discussion; 3.6 Acknowledgements; 3.7 Supplementary material; 3.7.1 Similarity matrices of the facial expressions; 3.7.2 Goodness of fit of multidimensional scaling analysis; 3.7.3 Valence and arousal values for each expression type. | |
| 505 | 8 | |a 4 Perceptual and ConceptualRepresentations of Facial Expressions: Making the Connection4.1 Abstract; 4.2 Introduction; 4.3 Experiment 1 and 2: Common aspects; 4.4 Experiment 1; 4.4.1 Method; 4.4.2 Results; 4.5 Experiment 2; 4.5.1 Method; 4.5.2 Results; 4.6 Experiment 1 and 2 combined; 4.6.1 Pure emotional expression pairs; 4.6.2 Pure conversational expression pairs; 4.6.3 Mixed facial expression pairs; 4.7 A common conceptual space?; 4.7.1 PCA results; 4.7.2 Canonical Correlation Analysis; 4.8 Discussion; 4.9 Acknowledgements; 4.10 Supplementary material; 4.10.1 Model validation. | |
| 500 | |a 4.10.2 Pretest and component extraction for PCA. | ||
| 520 | 8 | |a Annotation |b One of the defining attributes of the human species is sophisticated communication, for which facial expressions are crucial. Traditional research has so far mainly investigated a minority of 6 basic emotional expressions displayed as pictures. Despite the important insights of this approach, its ecological validity is limited: facial movements express more than emotions, and facial expressions are more than just pictures. The objective of the present thesis is therefore to improve the understanding of facial expression recognition by investigating the internal representations of a large range of facial expressions, displayed both as static pictures and as dynamic videos. To this end, it was necessary to develop and validate a new facial expression database which includes 20.000 stimuli of 55 expressions (study 1). Perceptual representations of the six basic emotional expressions were found previously to rely on evaluation of valence and arousal; study 2 showed that this evaluation generalises to many more expressions, particularly when displayed as videos. While it is widely accepted that knowledge influences perception, how these are linked is largely unknown; study 3 investigated this question by asking how knowledge about facial expressions, instantiated as conceptual representations, relates to perceptual representations of these expressions. A strong link was found which changed with the kind of expressions and the type of display. In probably the most extensive behavioural studies (with regards to the number of facial expressions used) to date, this thesis suggests that there are commonalities but also differences in processing of emotional and of other types of facial expressions. Thus, to understand facial expression processing, one needs to consider more than the 6 basic emotional expressions. These findings outline first steps towards a new domain in facial expression research, which has implications for a number of research and application fields where facial expressions play a role, ranging from social, developmental, and clinical psychology to computer vision and affective computing research. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Visual perception. | |
| 650 | 0 | |a Facial expression. | |
| 650 | 6 | |a Perception visuelle. | |
| 650 | 6 | |a Physionomie. | |
| 650 | 7 | |a visual perception. |2 aat | |
| 650 | 7 | |a Facial expression |2 fast | |
| 650 | 7 | |a Visual perception |2 fast | |
| 758 | |i has work: |a Visual perception of emotional and conversational facial expressions (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFVgkcb4TyMRXbRfhxGQG3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Kaulard, Kathrin. |t Visual Perception of Emotional and Conversational Facial Expressions. |d Berlin : Logos Verlag Berlin, ©2015 |z 9783832539696 |
| 830 | 0 | |a MPI Series in Biological Cybernetics Ser. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5231153 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL5231153 | ||
| 938 | |a YBP Library Services |b YANK |n 15138939 | ||
| 994 | |a 92 |b IZTAP | ||