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- W2007461783 abstract "This paper presents a human–robot interaction framework where a robot can infer implicit affective cues of a human and respond to them appropriately. Affective cues are inferred by the robot in real-time from physiological signals. A robot-based basketball game is designed where a robotic “coach” monitors the human participant’s anxiety to dynamically reconfigure game parameters to allow skill improvement while maintaining desired anxiety levels. The results of the above-mentioned anxiety-based sessions are compared with performance-based sessions where in the latter sessions, the game is adapted only according to the player’s performance. It was observed that 79% of the participants showed lower anxiety during anxiety-based session than in the performance-based session, 64% showed a greater improvement in performance after the anxiety-based session and 71% of the participants reported greater overall satisfaction during the anxiety-based sessions. This is the first time, to our knowledge, that the impact of real-time affective communication between a robot and a human has been demonstrated experimentally." @default.
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- W2007461783 date "2008-05-26" @default.
- W2007461783 modified "2023-09-24" @default.
- W2007461783 title "Interaction between human and robot" @default.
- W2007461783 doi "https://doi.org/10.1075/is.9.2.05agr" @default.
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