2025/04/24 by Jihyun Lee, Lee, Jihyun, Yejin Jeon +5 · 1 citation
Computer Science · Psychology · #AI in Service Interactions #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Persona Design and Applications
paper · pdf · doi:10.48550/arxiv.2504.17390
openalex publication_date 2025/04/24 · openalex created_date 2025/10/18 · openalex updated_date 2026/08/01
Task-Oriented Dialogue (TOD) systems are designed to fulfill user requests through natural language interactions, yet existing systems often produce generic, monotonic responses that lack individuality and fail to adapt to users' personal attributes. To address this, we introduce PicPersona-TOD, a novel dataset that incorporates user images as part of the persona, enabling personalized responses tailored to user-specific factors such as age or emotional context. This is facilitated by first impressions, dialogue policy-guided prompting, and the use of external knowledge to reduce hallucinations. Human evaluations confirm that our dataset enhances user experience, with personalized responses contributing to a more engaging interaction. Additionally, we introduce a new NLG model, Pictor, which not only personalizes responses, but also demonstrates robust performance across unseen domains https://github.com/JihyunLee1/PicPersona.