Trust the AI, Doubt Yourself: The Effect of Urgency on Self-Confidence in Human-AI Interaction
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Abstract (arXiv)
Studies show that interactions with an AI system fosters trust in human users towards AI. An often overlooked element of such interaction dynamics is the (sense of) urgency when the human user is prompted by an AI agent, e.g., for advice or guidance. In this paper, we show that although the presence of urgency in human-AI interactions does not affect the trust in AI, it may be detrimental to the human user's self-confidence and self-efficacy. In the long run, the loss of confidence may lead to performance loss, suboptimal decisions, human errors, and ultimately, unsustainable AI systems. Our evidence comes from an experiment with 30 human participants. Our results indicate that users may feel more confident in their work when they are eased into the human-AI setup rather than exposed to it without preparation. We elaborate on the implications of this finding for software engineers and decision-makers.
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References · 9
- 2017Proximal Policy Optimization Algorithmscited by 15,215
- 2024Trust in AI: Progress, Challenges, and Future Directionscited by 35
- 2022Trust in AI and Its Role in the Acceptance of AI Technologiescited by 29
- 2024"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Makingcited by 26
- 2025As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Makingcited by 19
- 2020From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AIcited by 7
- 2024On the Utility of Domain Modeling Assistance with Large Language Modelscited by 3
- 2026A Reference Architecture of Reinforcement Learning Frameworkscited by 3
- 2026Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writingcited by 1
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