Cognitive behavioral assistive technology (CBAT) as AI for super aged society
M. Otake-Matsuura, M. S. Abe, T. Sekiguchi, S. Tokunaga, H. Sugimoto, T. M. Rutkowski, K. W. Miura
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AbstractAI nurturing or complementing human intelligence is becoming more important than ever. The goal of the Cognitive Behavioral Assistive Technology (CBAT), advocated by the author since 2017, is to develop technology assisting cognition and behavior of human with and without disabilities. For the first step, we focus on technology which promotes cognitive health for preventing cognitive decline and dementia among older adults by social activities, since a systematic review found that social activity intervention may help maintain cognitive function among healthy older adults (Kelly et al., 2017), there are no global recommendations for social activity interventions related to cognitive health because evidence of the impact of such intervention is limited (World Health Organization, 2019). One major reason was the lack of technology for generating quantitatively and qualitatively consistent social activities necessary for cognitive intervention.Keywords: cognitive intervention, machine learning, dementia, conversation, dialogue
M. Otake-Matsuura, M. S. Abe, T. Sekiguchi, S. Tokunaga, H. Sugimoto, T. M. Rutkowski, K. W. Miura (2022). Cognitive behavioral assistive technology (CBAT) as AI for super aged society. Gerontechnology, 21(s),1-1
https://doi.org/10.4017/gt.2022.21.s.713.opp3