Abstract
Developing support technology for elderly people with dementia is an urgent issue. The purpose of this study was to propose a computational method for designing “micro happiness” by applying the concept of subjective experience to dementia. In this paper, subjective experiences that can positively affect the quality of life are referred to as micro happiness. The proposed method provides experience recommendations by evaluating both the similarity of life functions and the similarity of experiences among elderly people. To verify the effectiveness of the method, the authors created a database consisting of 1124 subjective experiences of 77 people with dementia using a knowledge graph. The authors confirmed that the prototype data service system could recommend plausible social events considering the life functions and past subjective experiences of a target person with dementia. From the evaluations, it was suggested that the proposed method could be used to present candidates for positive experiences to elderly people with dementia.
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