Papers
21
Total Citations
1,177
H-Index
13
About
Sean Andrist is a prominent researcher whose work sits at the intersection of human-robot interaction (HRI), social robotics, and human-computer interaction, with a particular focus on nonverbal communication, gaze behavior, and the design of socially intelligent agents. His most influential contributions explore how artificial systems—including robots and virtual agents—can replicate and leverage human gaze dynamics to communicate more naturally and effectively. His 2015 review on eye gaze in virtual agents and social robotics (213 citations) and his complementary survey on gaze animation (66 citations) have become foundational references in the field. His work on conversational gaze aversion for humanlike robots (203 citations) demonstrated how deliberately redirecting a robot's gaze can signal cognitive effort and regulate conversational dynamics, meaningfully advancing robot naturalism. Andrist has also investigated how gaze patterns reveal task intent in collaborative settings (165 citations), enabling robots to anticipate human behavior proactively. Beyond gaze, his research spans robot rhetoric, cross-cultural credibility, motivational robotics, and the emerging concept of interaction-shaping robotics—where robots influence human-to-human dynamics. Collectively, his work has accumulated over 1,000 citations, making him a defining voice in building robots that communicate with genuine social intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Conversational gaze aversion for humanlike robots203 citations · 2014
- 3Using gaze patterns to predict task intent in collaboration165 citations · 2015
- 4Look Like Me152 citations · 2015
- 5Effects of Culture on the Credibility of Robot Speech92 citations · 2015
- 6
- 7
- 8
- 9
- 10Human-Agent Collaboration28 citations · 2017