Takane Ueno

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About

Takane Ueno is a leading voice in human-computer interaction, with a focused expertise on the psychological and behavioral dynamics of trust in artificial intelligence. Their seminal work, "Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods" (2022), has garnered 77 citations and serves as a foundational reference for the field. In this paper, Ueno systematically maps the fragmented landscape of trust research across diverse AI-infused systems—from robots and virtual characters to smart vehicles and decision aids—identifying critical gaps in both theoretical models and standardized measurement approaches. This contribution has been instrumental in guiding subsequent empirical studies and design frameworks, establishing Ueno as a key architect in understanding how humans calibrate trust in autonomous systems. Their research not only clarifies existing ambiguities but also paves the way for more reliable, human-centered AI. For students and researchers, Ueno’s work offers a rigorous, accessible entry point into one of the most pressing challenges of modern technology: ensuring that as AI becomes more capable, it remains worthy of our trust.