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General Decision Sciences

Interdisciplinary approaches to decision-making that combine multiple methodologies, including behavioral decision theory, multi-criteria analysis, and integrated frameworks for complex decision problems

3 papers in this specialization

Paperzilla Papers in General Decision Sciences

LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings

This paper introduces Semantic Similarity Rating (SSR), a new method allowing large language models (LLMs) to accurately simulate human purchase intent by having them generate free-text responses, which are then mapped to Likert scales based on semantic similarity. The method, tested on 57 personal care product surveys, achieved 90% human test-retest reliability and produced realistic response distributions, outperforming direct numerical rating requests. It also generated rich qualitative feedback, though the reference statements were manually optimized for this dataset and not all demographics were replicated consistently.

An Assessment of Prospect Theory in Tourism Decision-Making

Prospect Theory (PT) is increasingly used in tourism research to explain decision-making, but misconceptions and methodological inconsistencies exist. Tourists are particularly sensitive to losses (loss aversion) and reference points heavily influence their choices, suggesting opportunities for targeted marketing strategies and policy interventions.

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Lin_Assessment_Prospect_Theory.pdf

Jul 14, 05:17 PM

To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

Cognitive forcing interventions can significantly reduce overreliance on AI in decision-making compared to simple explainable AI approaches. However, there's a trade-off: users find the more effective interventions less acceptable and less trustworthy, and the benefits seem to primarily accrue to those with high need for cognition, potentially exacerbating existing inequalities.