Teachable agent for improving Ikigai

The global elderly population is projected to more than double by 2050, emphasizing the need for meaningful elderly care. We delved into “Ikigai”, a concept that originated in Japan, signifying an individual’s purpose and satisfaction in life. In this research, we aim to assess and enhance an indivi...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Chen, Ping
مؤلفون آخرون: Miao Chun Yan
التنسيق: Thesis-Doctor of Philosophy
اللغة:English
منشور في: Nanyang Technological University 2024
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/175775
الوسوم: إضافة وسم
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المؤسسة: Nanyang Technological University
اللغة: English
الوصف
الملخص:The global elderly population is projected to more than double by 2050, emphasizing the need for meaningful elderly care. We delved into “Ikigai”, a concept that originated in Japan, signifying an individual’s purpose and satisfaction in life. In this research, we aim to assess and enhance an individual’s Ikigai level. We introduce a knowledge graph-based survey system for dynamic Ikigai assessments, improving response reliability and reflecting Ikigai’s evolving essence. Additionally, we propose a supervised learning model that predicts Ikigai levels from user profiles to help continuous evaluation. For Ikigai enhancement, we propose a teachable agent for the elderly, aiming to stimulate cognitive abilities and heighten self-esteem. Additionally, a reinforcement learning-driven hobby recommender recommends potential Ikigai-boosting activities based on personal attributes. Through a phenomenographic analysis, we explore individual perceptions of these methods, revealing how technology can bolster life’s purpose and meaning. Our pioneering research uniquely fuses advanced techniques with Ikigai exploration.