Christin Schnellbacher
Papers
1
Total Citations
5
H-Index
1
About
Christin Schnellbacher explores the intersection of human-robot interaction and emotional expression, with a focus on how people perceive and respond to robotic faces. Her most-cited work, "Facing Emotional Reactions Towards a Robot – An Experimental Study Using FACS" (2016), employs the Facial Action Coding System (FACS) to analyze human emotional reactions to a robot’s facial expressions, offering early insights into the subtle, non-verbal dynamics of human-robot communication. This research contributes to the broader field of affective computing, helping to design robots that can better interpret and respond to human emotions. Though her citation count is modest, her work is foundational for understanding the psychological and behavioral nuances of human-robot interaction, particularly in contexts where emotional authenticity matters. Schnellbacher’s study stands out for its methodological rigor, using FACS—a tool typically reserved for human facial analysis—to bridge the gap between human and machine emotional expression. Her findings are relevant for developers of social robots, therapists using robotic assistants, and researchers studying the boundaries of artificial empathy.
Research Focus
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Top Papers
- 1