Kantwon Rogers

About

Kantwon Rogers is a human-robot interaction (HRI) researcher whose work sits at a compelling intersection of trust, deception, ethics, and social perception in robotics. His research has made meaningful contributions to understanding how humans psychologically and behaviorally respond to robots, particularly when those robots deceive, apologize, or challenge social norms. Rogers is perhaps best known for his extensive body of work on robot deception, exploring how lies, repeated dishonesty, and subsequent apologies reshape human trust in autonomous systems — a question with significant implications for AI-assisted driving, healthcare, and collaborative robotics. His 2020 investigation into robot gendering (25 citations) revealed how people unconsciously assign gender to neutral robots and how this influences perceptions of occupational competency. More recently, Rogers has pushed into emerging territory by comparing human ethical judgments with large language model reasoning on robotic deception, and by examining robot "rebellious" behavior in collaborative settings. Collectively accumulating over 75 citations, his scholarship consistently asks urgent, underexplored questions about how intelligent agents earn — and break — human trust, making his work essential reading for researchers navigating the increasingly complex social landscape of human-machine relationships.

Research Focus

Key Achievements

Top Papers

1. 1
   Robot Gendering: Influences on Trust, Occupational Competency, and Preference of Robot Over Human

   25 citations · 2020
2. 2
   Lying About Lying

   15 citations · 2023
3. 3
   Intelligent Agent Deception and the Influence on Human Trust and Interaction

   9 citations · 2021
4. 4
   Lie, Repent, Repeat: Exploring Apologies after Repeated Robot Deception

   7 citations · 2024
5. 5
   When a Robot Tells You That It Can Lie

   6 citations · 2022
6. 6
   Looks Can Permit Deceiving: How Reward or Punishment Decisions are Influenced by Robot Embodiment

   5 citations · 2021
7. 7
   What Should a Robot Do? Comparing Human and Large Language Model Recommendations for Robot Deception

   3 citations · 2024
8. 8
   Rebellion and Disobedience in Human-Robot Interaction (RaD-HRI)

   3 citations · 2024
9. 9
   The Effect of Conceptual Embodiment on Human-Robot Trust During a Youth Emotion Classification Task

   3 citations · 2021
10. 10
    Exploring First Impressions of the Perceived Social Intelligence and Construal Level of Robots that Disclose their Ability to Deceive

    2 citations · 2022

Key Collaborators

Contact & Links