Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?
As Large Language Models (LLMs) are increasingly deployed as autonomous agents in high-stakes domains, understanding contextual factors that may modulate their decision-making becomes critical. While LLMs are trained to perceive and resonate with users' emotions, it remains unclear whether induced emotion can influence their sequential decision-making. We investigate this question using the Iowa Gambling Task (IGT), a classic psychological paradigm for studying decision-making under uncertainty, combined with an imagination-based emotion induction procedure. We first validate the feasibility o
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- LinkedLinked via arxiv author · 85%Minh Khoi Ho →
“Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?”
- LinkedLinked via arxiv author · 85%Zihao Zhu →
“Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?”
- LinkedLinked via arxiv author · 85%Runchuan Zhu →
“Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?”
- LinkedLinked via arxiv author · 85%Levina Li →
“Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?”
- LinkedLinked via arxiv author · 85%Zhiwen Fan →
“Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?”
- LinkedLinked via arxiv author · 85%Zhangyang Wang →
“Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?”
- LinkedLinked via arxiv author · 85%Junyuan Hong →
“Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?”
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
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