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.
CITATION STYLE
Tokunaga, S., Seaborn, K., Tamura, K., & Otake-Matsuura, M. (2019). Cognitive training for older adults with a dialogue-based, robot-facilitated storytelling system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11869 LNCS, pp. 405–409). Springer. https://doi.org/10.1007/978-3-030-33894-7_43
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