A job interview simulation: social cue-based interaction with a virtual character
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: 2013 International Conference on Social Computing, 8-14 September 2013, Alexandria, VA, USA, S. 220-227
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg
- (when)
-
2013
- Event
-
Veröffentlichung
- (where)
-
Piscataway, NJ
- (who)
-
IEEE
- (when)
-
2013
- Creator
- DOI
-
10.1109/socialcom.2013.39
- URN
-
urn:nbn:de:bvb:384-opus4-655072
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Baur, Tobias
- Damian, Ionut
- Gebhard, Patrick
- Porayska-Pomsta, Kaska
- André, Elisabeth
- Universität Augsburg
- IEEE
Time of origin
- 2013
Other Objects (12)
The synthetic character Ritchie: first steps towards a virtual companion for mixed reality
Emotion-specific dichotomous classification and feature-level fusion of multichannel biosignals for automatic emotion recognition
Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition
A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals
From physiological signals to emotions: implementing and comparing selected methods for feature extraction and classification
Implementing parallel and independent movements for a social robot's affective expressions
On the potential of modular voice conversion for virtual agents
Exploring eye-tracking-based detection of visual search for elderly people
User-centred development of mobile interfaces to a pervasive computing environment
Bi-channel sensor fusion for automatic sign language recognition
I see what you did there: understanding when to trust a ML model with NOVA
Unimodal multi-task fusion for emotional mimicry intensity prediction
The synthetic character Ritchie: first steps towards a virtual companion for mixed reality
Emotion-specific dichotomous classification and feature-level fusion of multichannel biosignals for automatic emotion recognition
Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition
A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals
From physiological signals to emotions: implementing and comparing selected methods for feature extraction and classification
Implementing parallel and independent movements for a social robot's affective expressions
On the potential of modular voice conversion for virtual agents
Exploring eye-tracking-based detection of visual search for elderly people
User-centred development of mobile interfaces to a pervasive computing environment
Bi-channel sensor fusion for automatic sign language recognition
I see what you did there: understanding when to trust a ML model with NOVA
Unimodal multi-task fusion for emotional mimicry intensity prediction
The synthetic character Ritchie: first steps towards a virtual companion for mixed reality
Emotion-specific dichotomous classification and feature-level fusion of multichannel biosignals for automatic emotion recognition
Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition
A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals
From physiological signals to emotions: implementing and comparing selected methods for feature extraction and classification
Implementing parallel and independent movements for a social robot's affective expressions
On the potential of modular voice conversion for virtual agents
Exploring eye-tracking-based detection of visual search for elderly people
User-centred development of mobile interfaces to a pervasive computing environment
Bi-channel sensor fusion for automatic sign language recognition
I see what you did there: understanding when to trust a ML model with NOVA