Bart P. Knijnenburg

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About

Bart P. Knijnenburg is a leading researcher at the intersection of human-computer interaction, artificial intelligence, and privacy. His work primarily explores how people perceive and interact with AI systems, with a particular focus on trust, etiquette, and user experience in human-agent teaming. Knijnenburg’s major contributions include demonstrating that incorporating interaction rules and structures—or “etiquette”—into AI teammates significantly enhances human trust and collaboration, a finding with over 20 citations. He has also advanced digital privacy education, notably investigating how older adults perceive AI versus human instructors. His 2024 study revealed that seniors often distrust AI systems and prefer more personable, human-led education, leading to a within-subjects experiment that informs the design of trustworthy AI for vulnerable populations. Additionally, Knijnenburg has explored the feasibility of mobile robots for post-occupancy evaluations, broadening the application of autonomous systems in real-world settings. His work is highly cited and influential, shaping how researchers and practitioners design AI that is not only functional but also socially acceptable and trustworthy.