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cs.HC2026
Large Language Model Few-Shot Prompting with Dilemma Training Outperforms Human Surrogates in Predicting Patient Preferences
Natasha Ureyang, Sebastian Porsdam Mann, Yuxin Liu +9
In serious illness, human surrogates often struggle to accurately predict patient preferences (68% accuracy), causing decision conflict. Personalized Patient Preference Predictor (…
cs.HC2026
Acts of Configuration: Rethinking Provenance, Temporality and Legitimacy in Post-Mortem Agents
Kellie Yu Hui Sim, Pin Sym Foong, Darryl Lim +2
Work on persona-persistent post-mortem agents typically frames design around a life/death binary. This framing neglects a consequential yet under-theorised condition: when individu…