社会的ロボットと対話する通行人のエンゲージメント推定フレームワーク
An Estimation Framework for Passerby Engagement Interacting with Social Robots
公共空間の広告ロボットと通行人の対話において、他者の行動の影響を考慮してユーザーの関与度を推定するフレームワークを提案し、対話継続時間を用いて精度を評価した。
著者: Taichi Sakaguchi, Yuki Okafuji, Kohei Matsumura, Jun Baba, Junya Nakanishi
分類: cs.RO
原文アブストラクト
Social robots are expected to be a human labor support technology, and one application of them is an advertising medium in public spaces. When social robots provide information, such as recommended shops, adaptive communication according to the user's state is desired. User engagement, which is also defined as the level of interest in the robot, is likely to play an important role in adaptive communication. Therefore, in this paper, we propose a new framework to estimate user engagement. The proposed method focuses on four unsolved open problems: multi-party interactions, process of state change in engagement, difficulty in annotating engagement, and interaction dataset in the real world. The accuracy of the proposed method for estimating engagement was evaluated using interaction duration. The results show that the interaction duration can be accurately estimated by considering the influence of the behaviors of other people; this also implies that the proposed model accurately estimates the level of engagement during interaction with the robot.
