Taishi Unokuchi

Papers

Total Citations

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About

Taishi Unokuchi is a researcher at the forefront of human-robot interaction and retail marketing, specializing in the design and evaluation of autonomous agents that influence consumer behavior. His most cited work, "The Effectiveness of Self-Recommending Agents in Advancing Purchase Behavior Steps in Retail Marketing" (2021, 15 citations), demonstrates how humanoid robot agents can serve as persuasive sales partners, guiding customers through the purchase funnel by generating product interest through direct interaction. This study is notable for bridging social robotics with practical retail applications, showing that familiar robot forms can effectively nudge users from awareness to action. Unokuchi also contributed to "Simultaneous Dialog Robot System" (2019, 2 citations), exploring multi-party conversation dynamics in robotic systems. His research is particularly relevant as society becomes increasingly accustomed to service robots in public spaces. By focusing on the psychological and behavioral steps of purchase decisions, Unokuchi provides actionable insights for marketers and roboticists alike, highlighting how non-human agents can build trust and engagement in commercial environments.