UXBench Pro: Benchmarking Personalized User Experience in Multi-Turn Dialogue Interactions
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Computer Science > Computation and Language
arXiv:2610.11638 (cs)
[Submitted on 8 Oct 2026]
Title:UXBench Pro: Benchmarking Personalized User Experience in Multi-Turn Dialogue Interactions
Authors:Mengze Hong, Zeyang Lei, Wenbo Shang, Xia Zeng, Xiying Zhao, Qi Zhu, Chen Jason Zhang, Di Jiang, Taiming Fu, Qiongyi Zhou, Qinghe Chang, Fubao Zhang, Chenxuan Ma, Minlong Peng, Jinfeng Huang, Zineng Zhou, Jindou Wu, Muge Qi, Sijun He, Xin Cui, Di Liang, Yuan Hua, Davey Chen
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Abstract:Evaluating user experience (UX) with automated computational methods has gained increasing attention, supported by empirical evidence from UXBench. However, binary preference prediction provides limited insight, while relying on a single user-agnostic reward model overlooks the inherent heterogeneity of users, whose expectations can differ substantially. In this paper, we present UXBench Pro, comprising 1{,}000 test instances derived from real user interactions across 12 task scenarios and 82 domains. Each instance is paired with a FACTORS user profile that characterizes the user through seven interpretable behavioral facets, differentiating user groups. To provide richer evaluation insights, we introduce a dual-perspective paradigm that combines a personalized User Reward Model (URM) for third-person judgment with Sim4Eval, a user simulator that enables multi-turn interactions and provides first-person evaluation across four cognitive state dimensions. To assess the reliability of these based evaluators, we further introduce two meta-benchmarks, URMBench and USimBench, that evaluate how faithfully they reproduce real human preferences and behaviors. Extensive experiments reveal seven key findings that highlight the importance of user modeling and multi-perspective evaluation, offering a fresh perspective on user-centric benchmarking and motivating personalized model optimization.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.11638 [cs.CL] |
| (or arXiv:2610.11638v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.11638
arXiv-issued DOI via DataCite
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View a PDF of the paper titled UXBench Pro: Benchmarking Personalized User Experience in Multi-Turn Dialogue Interactions, by Mengze Hong and 22 other authors
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