To understand and confront overreliance on AI.
Holbrook, C., Krishnamurthy, U., Maglio, P., & Wagner, A. R. (2025). Physical anthropomorphism (but not gender presentation) influences trust in household robots. Computers in Human Behavior: Artificial Humans, 3.
View PublicationHolbrook, C., Holman, D., Clingo, J. & Wagner, A. R. (2024). Overtrust in AI recommendations about whether or not to kill: Evidence from two human-robot interaction studies. Scientific Reports, 14, 19751.
View PublicationYin, Y., Nayyar, M., Holman, D., Lucas, G., Holbrook, C., & Wagner, A. (2024, June 24). Validation and evacuee modeling of virtual robot-guided emergency evacuation experiments. PsyArXiv.
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Highly Anthropomorphic Humanoid
This advanced humanoid is controlled by an LLM and capable of both spontaneous, open-ended human-robot interaction and experimentally controlled, consistent responsiveness. The robot can produce lifelike movement, including microexpressions.
Humanoid with Variable Face
This humanoid uses a rear-projected, translucent 3D mask to display both animated facial expressions and varying social characteristics (i.e., gender, race, age or ethnicity).
Quadrupedal Mobile Robot
Our Unitree Go2 quadrupedal mobile robot enables us to conduct field research assessing effects of animorphic design features likely to evoke psychological associations with dogs.
Track-based Mobile Robot
The Bunker Mini permits us to conduct field research with mobile robots which do not possess anthropomorphic or animorphic design features.
fNIRS
This non-invasive brain imaging technique measures local blood oxygen changes in the brain to track neural activity. We use fNIRS to assess neural correlates of overreliance on AI.
Infinadeck Treadmill, HTC Vive
We use immersive VR to study naturalistic human-AI decision-making, including life-or-death contexts (e.g., fire or active shooter evacuations) which would not otherwise be feasible to simulate.
