DocumentCode :
652759
Title :
Non-anthropomorphic Expression of Affective States through Parametrized Abstract Motifs
Author :
Betella, Alberto ; Inderbitzin, Martin ; Bernardet, Ulysses ; Verschure, Paul F. M. J.
Author_Institution :
SPECS Lab., Univ. Pompeu Fabra, Barcelona, Spain
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
435
Lastpage :
441
Abstract :
One of the key challenges of affective computing is to extend the expression of emotions to machines. Research in this field has focused mainly on embodied machines that can reproduce verbal or non-verbal cues such as facial movements and gestures. However, most machines we interact with in our daily life are non-anthropomorphic. For this reason, the question we are addressing in our study is whether it is possible to express emotions or affective states using non-anthropomorphic cues in non-humanoid artifacts. We generated animated motifs using a small set of parameters (color, motion and complexity) and we displayed them on the interactive floor of the experience Induction Machine (XIM), an immersive mixed reality space. We asked the participants to assess the emotions attributed to these abstract visual cues. Our findings suggest that it is not only possible to express affective states, but also to modulate human behavior through non-anthropomorphic and abstract stimuli.
Keywords :
behavioural sciences computing; XIM; abstract stimuli; abstract visual cues; affective computing; affective states; embodied machines; experience induction machine; facial movements; gestures; human behavior; immersive mixed reality space; interactive floor; nonanthropomorphic expression; nonanthropomorphic stimuli; nonhumanoid artifacts; nonverbal cues; parametrized abstract motifs; verbal cues; Abstracts; Animation; Color; Complexity theory; Image color analysis; Virtual reality; Visualization; Affective computing; Color; Emotion recognition; Human computer interaction; Virtual Reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location :
Geneva
ISSN :
2156-8103
Type :
conf
DOI :
10.1109/ACII.2013.78
Filename :
6681469
Link To Document :
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