Kotaro Nishi
Papers
2
Total Citations
19
H-Index
2
About
Kotaro Nishi is a pioneering researcher in human-robot interaction and retail marketing, whose work explores how autonomous agents can influence consumer behavior. His primary research areas include self-recommending agents, humanoid robotics, and the psychology of purchase decisions in physical retail environments. Nishi’s most significant contribution is the concept of the “self-recommending agent”—a robot that actively promotes itself to customers, thereby generating product interest and guiding purchasing steps. His 2021 paper, “The Effectiveness of Self-Recommending Agents in Advancing Purchase Behavior Steps in Retail Marketing,” has garnered 15 citations and demonstrates how humanoid robots can serve as persuasive interaction partners. In a subsequent 2022 pilot field experiment in a convenience store, Nishi introduced the “pick-me-up strategy,” showing that self-recommending agents can more effectively capture customer attention than traditional product displays, directing focus toward specific items. Though his citation counts are modest, Nishi’s work is notable for its practical, real-world application in retail settings, bridging robotics and marketing science. His research offers valuable insights for students and researchers interested in designing socially engaging robots that drive consumer action.
Research Focus
Key Achievements
Top Papers
- 1
- 2