Mimetic Alignment with ASPECT: Evaluation of AI-inferred Personal Profiles
AI agents that communicate on behalf of individuals need to capture how each person actually communicates, yet current approaches either require costly per-person fine-tuning, produce generic outputs from shallow persona descriptions, or optimize preferences without modeling communication style. We present ASPECT (Automated Social Psychometric Evaluation of Communication Traits), a pipeline that directs LLMs to assess constructs from a validated communication scale against behavioral evidence from workplace data, without per-person training. In a case study with 20 participants (1,840 paired item ratings, 600 scenario evaluations), ASPECT-generated profiles achieved moderate alignment wit...
| Authors | Ruoxi Shang, Dan Marshall, Edward Cutrell et al. |
|---|---|
| Primary category | cs.HC |
| Published | 27 March 2026 |
| Last updated at source | 27 March 2026 |
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