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Title: | 最熟悉的陌生人:探索社交虛擬實境中虛擬化身與環境之設計用於恢復休眠關係之影響 Strange Familiars: Exploring the Design of Avatars and Virtual Environments for Reviving Dormant Ties in Social Virtual Reality |
Authors: | 廖方盈 Fang-Ying Liao |
Advisor: | 陳炳宇 Bing-Yu Chen |
Keyword: | 電腦中介傳播,虛擬實境,擴增實境,探索人與系統之實證研究, Computer Mediated Communication,Virtual/Augmented Reality,Empirical study that tells us about how people use a system, |
Publication Year : | 2022 |
Degree: | 碩士 |
Abstract: | 重建休眠的友誼有助於人們克服孤獨感並獲得社會支持,這對於個人健康福祉至關重要。隨著全球新冠疫情蔓延,大眾被迫社交隔離,社交虛擬實境的設計透過實現同地體驗與真實互動感來促進更緊密的雙人聯繫。本文探討了社交虛擬實境中的關鍵特徵—虛擬化身相似度 (Avatar Similarity) 與虛擬環境熟悉度 (VE Familiarity)是如何影響、輔助休眠關係的重建。我們共招募了24組受試者進行一項混合方法研究,藉此觀察不同設計的虛擬化身與虛擬環境對於休眠關係的影響。實驗結果顯示高相似度的虛擬化身能提升雙方重新聯繫時的社交親密感。此外,高熟悉度的虛擬環境可以喚醒雙方對相關實體地點的共同回憶,而低熟悉度的虛擬環境可以藉由新奇性引發更多對話。我們歸納並進一步探討這些發現,提出適用於社交虛擬實境的設計建議,期望未來實務上能更有效地恢復休眠友誼。 The revival of dormant social ties is essential for well-being and helps people to overcome loneliness and acquire social support. With increasing social isolation increasing during the COVID-19 pandemic, social virtual reality has been designed to facilitate dyadic connection through creating co-located experiences and genuine connections. In this paper, we explore how the critical features of social virtual reality platforms can support the reactivation of dormant relationships. We conducted a mixed-methods study with 24 dyads to observe the influence of different avatar- and virtual environment-related features on the dormant-tie pairs. Our results show that highly similar avatars can foster social closeness on reconnection. Furthermore, highly familiar virtual environments can revive shared memory related to familiar physical locations, while those with low familiarity can provide novelty, thus triggering more conversations. We summarize these findings to better inform the design considerations for social virtual reality to revive dormant ties in the future. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/87445 |
DOI: | 10.6342/NTU202204259 |
Fulltext Rights: | 同意授權(全球公開) |
Appears in Collections: | 資訊管理學系 |
Files in This Item:
File | Size | Format | |
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ntu-111-1.pdf | 1.5 MB | Adobe PDF | View/Open |
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