This work examines how mental models of images are built and pruned through dialogue between BVI users and an AI-powered conversational visual assistant, and derives prompt guidelines for layered descriptions, subject-aware defaults and adaptive follow-up suggestions.
Mazen Salous, Mikołaj P. Woźniak, Timo von Reeken et al.· International Conference on...· 1 citation
AI-driven services continuously infer “models-of-users” to personalize content, automate decisions, and optimize interaction. Yet, most user models remain opaque, fragmented across platforms, and hard to correct, transfer, or revoke. As a result, personalisation in AI-driven services is commonly experienced as a trade-...