Aoki Motonobu, Rea Francesco, Di Cesare Giuseppe, Sandini Giulio, Yanagi Takura, Takamatsu Atsushi, Yamamura Tomohiro
Mobility and AI Laboratory, Nissan Motor Co., Ltd., Atsugi, Kanagawa, Japan.
Department of Robotics Brain and Cognitive Sciences, Italian Institute of Technology, Genoa, Liguria, Italy.
Front Robot AI. 2025 Apr 22;12:1305685. doi: 10.3389/frobt.2025.1305685. eCollection 2025.
Designing a social humanoid robot to enhance human cognitive multitasking in a mixed human-robot team is anything but straightforward. In fact, the robot's presence and behavior can either improve or impair human performance. In this study, we examined how different vitality forms-expressed through the robot's actions, speech and facial expressions-affect cognitive multitasking. Analysis of human facial expressions and skin conductance data revealed that a robot exhibiting a gentle vitality form fostered a more positive and relaxed state than one displaying a rude vitality form. Moreover, the gentle vitality form improved human performance on tasks involving short-term memory and continuous target tracking. To our knowledge, this is the first study to explore the long-term impact of vitality forms. Overall, our findings suggest that properly designing a social humanoid robot's vitality forms can significantly enhance cognitive multitasking performance in human-robot teams.
设计一款社交类人形机器人以提升人机混合团队中人类的认知多任务处理能力绝非易事。事实上,机器人的存在和行为既可能提高也可能损害人类的表现。在本研究中,我们探究了通过机器人的动作、言语和面部表情所表达的不同活力形式是如何影响认知多任务处理的。对人类面部表情和皮肤电传导数据的分析表明,展现出温和活力形式的机器人比表现出粗鲁活力形式的机器人能营造出更积极、放松的状态。此外,温和的活力形式提高了人类在涉及短期记忆和连续目标跟踪任务中的表现。据我们所知,这是第一项探索活力形式长期影响的研究。总体而言,我们的研究结果表明,合理设计社交类人形机器人的活力形式可显著提高人机团队中的认知多任务处理表现。