SocializeChat: A GPT-Based AAC Tool Grounded in Personal Memories to Support Social Communication
October 21, 2025 Β· Declared Dead Β· π IEEE International Conference on Systems, Man and Cybernetics
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Authors
Wei Xiang, Yunkai Xu, Yuyang Fang, Zhuyu Teng, Zhaoqu Jiang, Beijia Hu, Jinguo Yang
arXiv ID
2510.19017
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
0
Venue
IEEE International Conference on Systems, Man and Cybernetics
Last Checked
4 months ago
Abstract
Elderly people with speech impairments often face challenges in engaging in meaningful social communication, particularly when using Augmentative and Alternative Communication (AAC) tools that primarily address basic needs. Moreover, effective chats often rely on personal memories, which is hard to extract and reuse. We introduce SocializeChat, an AAC tool that generates sentence suggestions by drawing on users' personal memory records. By incorporating topic preference and interpersonal closeness, the system reuses past experience and tailors suggestions to different social contexts and conversation partners. SocializeChat not only leverages past experiences to support interaction, but also treats conversations as opportunities to create new memories, fostering a dynamic cycle between memory and communication. A user study shows its potential to enhance the inclusivity and relevance of AAC-supported social interaction.
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