24 research outputs found

    ロボットの認識と心理的受容性に関する研究 : 初対面の場において

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    学位の種別: 課程博士審査委員会委員 : (主査)東京大学准教授 渡邊 克巳, 東京大学教授 中邑 賢龍, 東京大学教授 廣瀬 通孝, 東京大学准教授 柳澤 秀吉, 産業技術総合研究所研究グループ長 松本 吉央University of Tokyo(東京大学

    Understanding the neural mechanisms of empathy toward robots to shape future applications

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    This article provides an overview on how modern neuroscience evaluations link to robot empathy. It evaluates the brain correlates of empathy and caregiving, and how they may be related to the higher functions with an emphasis on women. We discuss that the understanding of the brain correlates can inform the development of social robots with enhanced empathy and caregiving abilities. We propose that the availability of these robots will benefit many aspects of the society including transition to parenthood and parenting, in which women are deeply involved in real life and scientific research. We conclude with some of the barriers for women in the field and how robotics and robot empathy research benefits from a broad representation of researchers

    Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

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    Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements in hardware, software, and research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience research community. We spotlight fNIRS through the lens of different end-application users, including the unique perspective of a fNIRS manufacturer, and report the challenges of using this technology across several research disciplines and populations. Through the review of different research domains where fNIRS is utilized, we identify and address the presence of bias, specifically due to the restraints of current fNIRS technology, limited diversity among sample populations, and the societal prejudice that infiltrates today's research. Finally, we provide resources for minimizing bias in neuroscience research and an application agenda for the future use of fNIRS that is equitable, diverse, and inclusive

    Perception and Acceptability of Robots in the First Time Interaction

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    学位の種別: 課程博士審査委員会委員 : (主査)東京大学准教授 渡邊 克巳, 東京大学教授 中邑 賢龍, 東京大学教授 廣瀬 通孝, 東京大学准教授 柳澤 秀吉, 産業技術総合研究所研究グループ長 松本 吉
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