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Konferenzbeitrag

Social Signal Processing in Companion Systems: Challenges Ahead

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83871

Curio,  C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Layher, G., Neumann H, Scherer S, Tschechne S, Brosch, T., & Curio, C. (2011). Social Signal Processing in Companion Systems: Challenges Ahead. In Informatik 2011: Informatik schafft Communities (pp. 1-15). Bonn, Germany: Gesellschaft für Informatik.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-B9A6-8
Zusammenfassung
Companion technologies aim at developing sustained long-term relationships by employing emotional, nonverbal communication skills and empathy. One of the main challenges is to equip such companions with human-like abilities to reliably detect and analyze social signals. In this proposal, we focus our investigation on the modeling of visual processing mechanisms, since evidence in literature suggests that nonverbal interaction plays a key role in steering, controlling and maintaining social interaction between humans. We seek to transfer fragments of this competence to the domain of human computer interaction. Some core computational mechanisms of extracting and analyzing nonverbal signals are presented, enabling virtual agents to create socially competent response behaviors.