This study conducts a three-stage, in-the-wild research, including a formative study with professional therapists, a therapist-involved iterative participatory design study, and an in-situ evaluation with key stakeholders to explore how GenAI-powered tools can be effectively designed and used to support personalized, p...
Yu-Ling Sun, Zhen-Nan Yi, Jun-Yan Mao et al.· Proceedings of the ACM on Hu...· 0 citations
This work presents UniGCRec, which constructs a cross-domain user profile from multi-domain histories and quantizes both users and items into CSC-IDs that integrate semantic and collaborative signals, effectively mitigating user-item asymmetry and enabling preference-aware selective transfer under low-overlap settings.
Chaoyue Ding, Jia-Hao Liu, Dongsheng Li et al.· Proceedings of the 32nd ACM...· 0 citations
ElderBench is the first benchmark for evaluating mobile GUI agents in authentic elderly-oriented scenarios and characterize the linguistic divergence between elderly instructions and existing GUI benchmark instructions from syntactic, semantic, and pragmatic perspectives, revealing substantial performance degradation w...
Wei-De Zhan, Qumu Shaqu, Yuan-Qing Liu et al.· 0 citations
Cross-domain sequential recommendation (CDSR) improves target-domain prediction by leveraging multi-domain interaction histories. Most CDSR methods rely on shared entities or co-occurrence signals, which become unreliable when overlap is limited, and atomic ID representations further generalize poorly to long-tail or u...
Chaoyue Ding, Jiahao Liu, Dongsheng Li et al.· Proceedings of the 32nd ACM...· 0 citations
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