Rational vigilance of intentions and incentives guides learning from advice

Sorting Fact from Fiction When Reasoning Is Motivated

We combine a simple theoretical framework with a survey experiment to investigate how individuals sort fact from fiction and update their assessments in societally important but politicized topics, such as climate change and public health. We show that cognitive ability improves news discernment and in particular, the...

External incentives change the relation between confidence and epistemic curiosity

Behavioral Intervention Construal: A Framework for Understanding Inferences from Behavioral Interventions

Organizations frequently use behavioral interventions—including incentives, messaging campaigns, and modifications to choice architecture—to influence people’s behavior. However, recent evidence suggests that such interventions often have inconsistent effects across implementations. To understand this variability, we s...

When Direct Prediction Fails: Evidence from LLM-Based Misinformation Risk Evaluation

The results suggest that directly asking for the target response may not always yield the most effective score for predicting it, and that comparing direct scores with indirect paths through related judgments may reveal a more effective predictive route.

Not All Explanations Are Sought: Information-Seeking Psychology for Human-Centered XAI

This position paper argues that human-centered explainable AI (HCXAI) should incorporate insights from the psychology of information seeking. Drawing on Sharot and Sunstein's framework of information-seeking motives, we propose that people evaluate whether to engage with explanations based on three types of expected ut...

Leveraging Collective Advice-Taking Behavior to Infer Accuracy and Improve the Wisdom of Crowds

Cluster weight on advice (CWOA) is proposed, a novel “two-shot” algorithm to identify a more accurate subgroup in a single-prediction-problem context and consistently outperforms benchmarks, including the state-of-the-art metaprediction-based methods.