J. Christopher Brill

About

J. Christopher Brill is a leading researcher in the psychology of human-technology interaction, with a primary focus on trust in artificial intelligence and robotics. His work systematically unpacks the factors that shape how humans place—and withdraw—trust in autonomous systems. Brill’s most influential contribution is a series of comprehensive meta-analyses that synthesize decades of empirical research. His 2021 meta-analysis on trust in AI (330 citations) identifies critical predictors related to the human trustor, the AI trustee, and the interaction context. He extended this work in a 2020 study on trust in robots (208 citations) and a 2023 elaborated model of human trust (100 citations), which together provide a robust theoretical framework for the field. Brill has also explored how trust evolves over time in human-robot interaction and compared trust in technology with trust between humans. His research is foundational for designing trustworthy autonomous systems and informs both engineering and policy. With over 660 citations across his top papers, Brill’s work is essential reading for anyone studying human-robot interaction, automation, or the psychology of trust.

Research Focus

Key Achievements

Top Papers

1. 1
   Trust in Artificial Intelligence: Meta-Analytic Findings

   330 citations · 2021
2. 2
   Evolving Trust in Robots: Specification Through Sequential and Comparative Meta-Analyses

   208 citations · 2020
3. 3
   How and why humans trust: A meta-analysis and elaborated model

   100 citations · 2023
4. 4
   Comparisons of Human-Human Trust with Other Forms of Human-Technology Trust

   13 citations · 2017
5. 5
   A time to trust: Trust as a function of time in human-robot interaction

   9 citations · 2020

Key Collaborators

Contact & Links