A Computational Model of Coping and Decision Making in High-stress, Uncertain Situations: an Application to Hurricane Evacuation Decisions

نویسندگان

چکیده

People often encounter highly stressful, emotion-evoking situations. Modeling and predicting people's behavior in such situations, how they cope, is a critical research topic. To that end, we propose computational model of coping casts Lazarus' theory into Partially Observable Markov Decision Process (POMDP) framework. This includes an appraisal process models the factors leading to stress by assessing person's relation environment people seek reduce directly altering or changing one's beliefs goals. We evaluated model's assumptions context high-stress situation, hurricanes. collected questionnaire data from major U.S. hurricanes 2018 evaluate features for calculation. also conducted series controlled experiments simulating hurricane experience investigate change their goals cope with situation. The results support showing proposed are significantly associated evacuation decisions

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ژورنال

عنوان ژورنال: IEEE Transactions on Affective Computing

سال: 2023

ISSN: ['1949-3045', '2371-9850']

DOI: https://doi.org/10.1109/taffc.2022.3173812