ロボットと人はなぜ関わるのか：実環境におけるユーザー動機の役割
What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild
ショッピングモールに自律対話ロボットを2日間配備し、ユーザーの動機が人間とロボットのインタラクションの流暢さにどう影響するかを分析した。
著者: Amy Koike, Yuki Okafuji, Kenya Hoshimure, Jun Baba
分類: cs.HC, cs.RO
原文アブストラクト
In this paper, we aim to understand how user motivation shapes human-robot interaction (HRI) in the wild. To explore this, we conducted a field study by deploying a fully autonomous conversational robot in a shopping mall over two days. Through sequential video analysis, we identified five patterns of interaction fluency (Smooth, Awkward, Active, Messy, and Quiet), four types of user motivation for interacting with the robot (Function, Experiment, Curiosity, and Education), and user positioning towards the robot. We further analyzed how these motivations and positioning influence interaction fluency. Our findings suggest that incorporating users' motivation types into the design of robot behavior can enhance interaction fluency, engagement, and user satisfaction in real-world HRI scenarios.
