Search Results for author: Minkyu Shin

Found 3 papers, 0 papers with code

Large language models can enhance persuasion through linguistic feature alignment

no code implementations28 Nov 2023 Minkyu Shin, Jin Kim

Based on the results of these observational studies, we hypothesize that LLM usage may enhance a comprehensive set of linguistic features, increasing message persuasiveness to receivers with heterogeneous linguistic preferences (i. e., linguistic feature alignment).

Persuasiveness

Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty

no code implementations13 Mar 2023 Minkyu Shin, Jin Kim, Bas van Opheusden, Thomas L. Griffiths

We then examine human players' strategies across time and find that novel decisions (i. e., previously unobserved moves) occurred more frequently and became associated with higher decision quality after the advent of superhuman AI.

counterfactual Decision Making

Measuring Human Adaptation to AI in Decision Making: Application to Evaluate Changes after AlphaGo

no code implementations30 Dec 2020 Minkyu Shin, Minkyung Kim, Jin Kim

Across a growing number of domains, human experts are expected to learn from and adapt to AI with superior decision making abilities.

Decision Making Human-Computer Interaction General Economics Economics Applications

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