Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces
Modern recommender systems treat observed actions as reliable proxies for user preferences, yet interactions often reflect exploration or comparison rather than stable preference expression. As interfaces evolve from static layouts toward generative UIs and immersive extended reality (XR), the need for deeper, modality-agnostic user understanding grows: these adaptive environments must decide not only what to present but where, when, how prominently, and most importantly why a user acts. We prop
Record details
Published: 11 August 2026
Source: arXiv
Category: Research
Topics: Environment
Retrieved: 13 August 2026
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ethics.ai (11 August 2026), “Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces,” evidence record 18809, https://ethics.ai/record/18809 (originally published by arXiv).
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