SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data
arXiv:2607.19949v1 Announce Type: cross Abstract: Smartphone personal assistants reason over longitudinal personal data, yet evaluating them requires context-rich evaluation data whose correct answers are known, and real device traces are too privacy-sensitive to share. To address this challenge, we present SenWorld, a physically grounded, deterministic, event-sourced digital-twin simulation that generates such data with ground truth fixed by construction. In SenWorld, personas live through a fu
Record details
Published: 23 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Privacy
Retrieved: 23 July 2026
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ethics.ai (23 July 2026), “SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data,” evidence record 12644, https://ethics.ai/record/12644 (originally published by arXiv cs.CY).
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