Abstract
Early detection programs for mild cognitive impairment have recently been developed. However, there is no standard method of daily training to build resilience against cognitive decline. We propose a dialogue-based method for healthy older adults. This involves collecting stories from older adults to generate datasets of question-and-answer pairs for each story in a dialogue format. We then provide these datasets through an interactive storytelling experience facilitated by a robot. Here we report on and discuss initial findings on the attitudes of elderly users towards the robot, the robot’s accuracy as a facilitator, and the ability of elders to remember story information provided by the robot.
This research was partially supported by JSPS KAKENHI Grant Numbers JP19H01138.
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Notes
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This study has been approved by the research ethics committee of RIKEN (No. W2018-058). Written informed consent was obtained from participants.
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Tokunaga, S., Seaborn, K., Tamura, K., Otake-Matsuura, M. (2019). Cognitive Training for Older Adults with a Dialogue-Based, Robot-Facilitated Storytelling System. In: Cardona-Rivera, R., Sullivan, A., Young, R. (eds) Interactive Storytelling. ICIDS 2019. Lecture Notes in Computer Science(), vol 11869. Springer, Cham. https://doi.org/10.1007/978-3-030-33894-7_43
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DOI: https://doi.org/10.1007/978-3-030-33894-7_43
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