Terran Mott*, Cailyn Smith*, Aaron Fanganello, Tom Williams
* Equal contribution
Accepted at the International Journal of Social Robotics, 2025
Mixed-methods study on how robots should respond proportionally to norm-violating commands (e.g. someone asking a robot to help them steal).
Rafael Sousa Silva, Cailyn Smith, Lara Bezerra, Tom Williams
RO-MAN, 2025
Evaluated the impact of performative autonomy (a strategy where a robot intentionally lowers its autonomy) for preserving situational awareness and lowering cognitive load in collaborative contexts with communication delay.
Cailyn Smith, Terran Mott, Tom Williams
RO-MAN, 2024
Qualitative study on the impact of human factors and technical considerations on level of autonomy decisions in space robotics.
Cailyn Smith*, Charlotte Gorgemans*, Ruchen Wen, Saad Elbeleidy, Sayanti Roy, Tom Williams
* Equal contribution
CogSci, 2022
Modeled human linguistic politeness norms with machine learning to predict when robots should use politeness modifiers in different social contexts.
Rafael Sousa Silva, Cailyn Smith, Lara Bezerra, Tom Williams
RO-MAN Variable Autonomy for Human-Robot Teaming Workshop, 2024
Qualitative study on the impact of human factors and technical considerations on level of autonomy decisions in space robotics.
Cailyn Smith, Terran Mott, Tom Williams
Companion of HRI (Late-Breaking Report), 2024
Qualitative study on the impact of human factors and technical considerations on level of autonomy decisions in space robotics.