About

Xiang Zhi Tan is a human-robot interaction researcher whose work sits at the intersection of social robotics, nonverbal communication, and assistive technology. Their most influential contribution examines how robots can deploy human-like conversational behaviors — most notably gaze aversion — to create more natural and credible interactions, a paper that has accumulated over 200 citations and remains a cornerstone reference in social robotics design. Tan has significantly advanced understanding of multi-robot interactions, exploring how users perceive transitions between robots and how social presence can extend across multiple embodiments, concepts developed in their widely cited work on re-embodiment and co-embodiment. A distinctive thread in their research addresses robot vulnerability and social dynamics: their study on bystander intervention during robot abuse demonstrated that robots can strategically invoke social norms to elicit protective behavior from nearby humans — a striking finding with over 80 citations. Tan has also made meaningful contributions to accessibility technology, developing coupled navigation systems to assist blind and low-vision users. Collectively, their body of work — spanning robot failure, human attention, and assistive robotics — reflects a sustained commitment to designing robots that function intelligently and ethically within complex human social environments.

Research Focus

Key Achievements

8
H-Index
19
Papers
582
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Conversational gaze aversion for humanlike robots
203 citations · 2014
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University of Wisconsin–Madison, Carnegie Mellon University, Microsoft (United States), Georgia Institute of Technology, Universidad del Noreste

Top Papers

  1. 1
  2. 2
    Re-Embodiment and Co-Embodiment
    112 citations · 2019
  3. 3
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  6. 6
  7. 7
    Death of a Robot
    20 citations · 2020
  8. 8
  9. 9
    Now, Over Here
    8 citations · 2020
  10. 10
    Go That Way
    8 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago