Papers
1
Total Citations
11
H-Index
1
About
Mayumi Usami is a leading researcher in human-agent interaction, with a focus on designing socially intelligent driving support systems. Her work bridges social psychology and automotive technology, exploring how the social distance expressed by an agent’s utterance influences user trust and psychological acceptability. In her most-cited study (2021, 11 citations), she demonstrates that the form and tone of a Driving Support Agent’s (DSA) speech can significantly affect how naturally drivers accept its guidance—a critical insight for developing empathetic, non-intrusive in-vehicle assistants. Usami’s contributions extend beyond technical functionality, emphasizing the human-centered design of autonomous systems. By showing that even subtle linguistic cues shape user experience, she has helped lay the groundwork for more intuitive and socially aware human-robot interaction. Her work is particularly notable for integrating psychological theory into practical engineering, offering a roadmap for creating agents that feel less like tools and more like trusted companions. As autonomous driving evolves, Usami’s research remains essential for ensuring that technology adapts to human social expectations, not the other way around.
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