Christopher Peters
Papers
25
Total Citations
568
H-Index
14
About
Christopher Peters is a prominent researcher whose work sits at the intersection of social robotics, virtual agents, human-computer interaction (HCI), and affective computing. He is perhaps best known for his highly influential 2015 review of eye gaze in virtual agents and social robotics, which has accumulated over 213 citations and remains a foundational reference for researchers studying how artificial entities perceive and express social cues. His contributions span both the generation and perception of socially intelligent behavior, encompassing engagement detection, robot approach behaviors, and the nuanced role of embodiment in human-agent interaction. Peters has made notable strides in applying deep learning techniques to social robotics, including deep reinforcement learning and generative adversarial networks to teach robots how to approach human groups in socially acceptable ways. His more recent work explores the creative potential of social robots in educational settings, using LLM-driven storytelling to foster children's imagination — a research thread that bridges AI, child development, and human-robot interaction. His long-standing involvement in affective computing communities, evidenced by his leadership in the AFFINE workshop series, further underscores his broad influence across disciplines dedicated to making artificial agents more naturally and meaningfully human.
Research Focus
Key Achievements
Top Papers
- 1
- 2Once Upon a Story28 citations · 2021
- 3Engagement Perception and Generation for Social Robots and Virtual Agents28 citations · 2016
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- 8Mixing implicit and explicit probes17 citations · 2014
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