以情感記憶建構青銀共伴在虛擬古城情境體驗幸福感融入休閒活動

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Title:	以情感記憶建構青銀共伴在虛擬古城情境體驗幸福感融入休閒活動 Construct Young and Retiree Accompany by Using Emotional Memory to Experience Well-Being into Leisure Activities in Virtual Situation of Ancient Cities
Authors:	江啟惠
Contributors:	資訊管理系
Keywords:	人工智慧情感記憶休閒活動幸福感青銀共伴 Artificial Intelligence Emotional memory Leisure activities Well-being Young and retiree accompany
Date:	2022
Issue Date:	2024-05-11 11:36:31 (UTC+8)
Abstract:	本計畫成果目標是增加社區市民休閒活動項目，推廣銀髮族體驗、培育青年為社區服務，創造休閒社交活動，並可結合日間照顧中心與嘉南社區USR進行推廣，輔助長照2.0之休閒互動娛樂，提昇市民身體保健，增進青銀市民互動機會，且本研究之成果提供後續學者瞭解銀髮族使用虛擬建物情境的重要性與延伸研究之參考。 This study explores a multi-person experience within a virtual environment framework, integrating artificial intelligence to design interactive virtual characters. The aim is to foster a sense of well-being through emotional memory construction and incorporate these experiences into leisure activities centered around a virtual ancient city. The focus is on intergenerational companionship, allowing both youth and the elderly to interact within a virtual context. By engaging with local stories in Minnan (Southern Min) dialect and establishing personalized living scenarios, participants converse with AI virtual characters, enhancing the perceived happiness from these interactions. Survey results indicate that the elderly, through recalling memories within the virtual ancient city, significantly perceive happiness, showing a higher sense of well-being in virtual experiences. Moreover, integrating these virtual experiences into leisure activities facilitates the sharing of well-being, thereby enhancing the happiness index of living in Tainan. The findings provide valuable insights for researchers in virtual reality, offering empirical support for designing appropriate virtual local scenic spots for community entertainment. Future research may further analyze the relationship between the happiness indices of the elderly and youth in the community's residential cities.
Relation:	計畫編號：NSTC111-2637-H041-001 計畫年度：111 計畫起訖：2022-08~2023-07
Appears in Collections:	[Dept. of Information Management] MOST Project

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