AI as a Bridge Across Ages: Exploring The Opportunities of Artificial Intelligence in Supporting Inter-Generational Communication in Virtual Reality
Qiuxin Du, Xiaoying Wei, Jiawei Li, Emily Kuang, Jie Hao, Dongdong Weng, Mingming Fan
Abstract
Inter-generational communication is essential for bridging generational gaps and fostering mutual understanding. However, maintaining it is complex due to cultural, communicative, and geographical differences. Recent research indicated that while Virtual Reality (VR) creates a relaxed atmosphere and promotes companionship, it inadequately addresses the complexities of inter-generational dialogue, including variations in values and relational dynamics. To address this gap, we explored the opportunities of Artificial Intelligence (AI) in supporting inter-generational communication in VR. We developed three technology probes (e.g., Content Generator, Communication Facilitator, and Info Assistant) in VR and employed them in a probe-based participatory design study with twelve inter-generational pairs. Our results show that AI-powered VR facilitates inter-generational communication by enhancing mutual understanding, fostering conversation fluency, and promoting active participation. We also introduce several challenges when using AI-powered VR in supporting inter-generational communication and derive design implications for future VR platforms, aiming to improve inter-generational communication.
CCS Concepts: • Do Not Use This Code → Generate the Correct Terms for Your Paper.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext ca7e86b0-fbb3-459d-b135-a09985b26b73Cited by top-tier papers3
- RemVerse: Supporting Reminiscence Activities for Older Adults through AI-Assisted Virtual RealityRuohao Li, Jiawei Li, Jia Sun, Zhiqing Wu et al.UbiComp 2025 · 8 citations
- SpeechCap: Leveraging Playful Impact Captions to Facilitate Interpersonal Communication in Social Virtual RealityYu Zhang, Yi Wen, Siying Hu, Zhicong LuCSCW 2025 · 6 citations
- From Memory to Meaning: A Systematic Review of Reminiscence Technologies in HCIZhongyue Zhang, Mingqing Xu, Mengyang Wang, Lina Xu et al.CHI 2026 · 2 citations
Builds on22
- Large Language Models are Zero-Shot ReasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo et al.NeurIPS 2022 · 8,168 citations
- StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental InvolvementZheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao et al.CHI 2022 · 168 citations
- VREED: Virtual Reality Emotion Recognition Dataset Using Eye Tracking & Physiological MeasuresLuma Tabbaa, Ryan Searle, Saber Mirzaee Bafti, Md. Moinul Hossain et al.UbiComp 2022 · 114 citations
- Videoconference and Embodied VR: Communication Patterns Across Task and MediumAhsan Abdullah, Jan Kolkmeier, Vivian Lo, Michael NeffCSCW 2021 · 91 citations
- Understanding Older Adults' Participation in Design WorkshopsAlisha Pradhan, Ben Jelen, Katie A. Siek, Joel Chan et al.CHI 2020 · 73 citations
Related papers
- Bridging the Generational Gap: Exploring How Virtual Reality Supports Remote Communication Between Grandparents and GrandchildrenXiaoying Wei, Yizheng Gu, Emily Kuang, Xian Wang et al.CHI 2023 · 48 citations
- Exploring the Opportunities of AR for Enriching Storytelling with Family Photos between Grandparents and GrandchildrenZisu Li, Li Feng, Chen Liang, Yuru Huang et al.UbiComp 2023 · 35 citations
- Bridging Generations using AI-Supported Co-Creative ActivitiesCallie Y. Kim, Arissa J. Sato, Nathan Thomas White, Hui-Ru Ho et al.CHI 2025 · 22 citations
- LegacySphere: Facilitating Intergenerational Communication Through Perspective-Taking and Storytelling in Embodied VRChenxinran Shen, Joanna McGrenere, Dongwook YoonCHI 2024 · 23 citations
- VRCopilot: Authoring 3D Layouts with Generative AI Models in VRLei Zhang, Jin Pan, Jacob Gettig, Steve Oney et al.UIST 2024 · 53 citations
