Takuto Akiyoshi, H. Sumioka, Hirokazu Kumazaki, Junya Nakanishi, Hirokazu Kato, M. Shiomi
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Practical Development of a Robot to Assist Cognitive Reconstruction in Psychiatric Day Care
One of the important roles of social robots is to support mental health through conversations with people. In this study, we focused on the column method to support cognitive restructuring, which is also used as one of the programs in psychiatric day care, and to help patients think flexibly and understand their own characteristics. To develop a robot that assists psychiatric day care patients in organizing their thoughts about their worries and goals through conversation, we designed the robot's conversation content based on the column method and implemented its autonomous conversation function. This paper reports on the preliminary experiments conducted to evaluate and improve the effectiveness of this prototype system in an actual psychiatric day care setting, and on the comments from participants in the experiments and day care staff.
期刊介绍:
ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain.
THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.