Creating an Atomic User Model for Personality-Aware Large Language Model Interaction
Assistants built on large language models are expected to write in their users' own voice. Most systems summarise the user's preferences and include the summary in the prompt. This is the wrong way round. Preferences are only the surface of a person and change with the task, while the underlying personality stays the same, so storing preferences alone means relearning the user afresh whenever the task changes. This paper makes four contributions. First, we describe an effect we call personality seepage: the wording of a prompt carries traces of the writer's personality, which the assistant copies without knowing the writer. Second, we propose the Atomic User Model (AUM), a readable profil...
| Authors | B. Sankar, Deepthika S, Pawni Yadav et al. |
|---|---|
| Primary category | cs.HC |
| Published | 10 September 2026 |
| Last updated at source | 16 September 2026 |
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