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Designing Loving-Kindness Meditation in Virtual Reality for Long-Distance Romantic Relationships

Xian Wang, Xiaoyu Mo, Lik-Hang Lee, Xiaoying Wei, Xiaofu Jin, Mingming Fan, Pan Hui

arXiv Preprint Archive September 21, 2023 via arXiv

Summary

AI-generated from the abstract

Loving-kindness meditation (LKM) can improve intimate relationships, but long-distance couples often lack access to shared LKM activities. Researchers conducted workshops with couples to design a virtual reality (VR) prototype for LKM. In a study comparing the VR prototype to a video conferencing tool, both methods positively affected intimate relationships, but the VR prototype was preferred for long-term use. The work proposes design considerations for VR apps supporting LKM for long-distance couples.

Study at a glance

Characteristics Qualitative study with prototype design and comparative evaluation Peer reviewed
Population Couples
Keywords Cs.hc
Key finding Both VR and video conferencing LKM sessions positively affect intimate relationships, but the VR prototype is more preferable for long-term use.

Abstract

Loving-kindness meditation (LKM) is used in clinical psychology for couples' relationship therapy, but physical isolation can make the relationship more strained and inaccessible to LKM. Virtual reality (VR) can provide immersive LKM activities for long-distance couples. However, no suitable commercial VR applications for couples exist to engage in LKM activities of long-distance. This paper organized a series of workshops with couples to build a prototype of a couple-preferred LKM app. Through analysis of participants' design works and semi-structured interviews, we derived design considerations for such VR apps and created a prototype for couples to experience. We conducted a study with couples to understand their experiences of performing LKM using the VR prototype and a traditional video conferencing tool. Results show that LKM session utilizing both tools has a positive effect on the intimate relationship and the VR prototype is a more preferable tool for long-term use. We believe our experience can inform future researchers.

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