Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
Siddharth Swaroop, Zana Bu\c{c}inca, Krzysztof Z. Gajos, Finale, Doshi-Velez

TL;DR
This paper investigates how AI assistance affects decision accuracy and speed under time pressure, revealing that user reliance and personality traits influence AI effectiveness in emergency-like scenarios.
Contribution
It introduces a study on AI assistance in time-pressured decision making, highlighting the importance of adaptive AI support based on user reliance and task conditions.
Findings
Time pressure changes AI assistance benefits
User overreliance predicts AI usage patterns
Personality traits correlate with trust in AI
Abstract
In settings where users both need high accuracy and are time-pressured, such as doctors working in emergency rooms, we want to provide AI assistance that both increases decision accuracy and reduces decision-making time. Current literature focusses on how users interact with AI assistance when there is no time pressure, finding that different AI assistances have different benefits: some can reduce time taken while increasing overreliance on AI, while others do the opposite. The precise benefit can depend on both the user and task. In time-pressured scenarios, adapting when we show AI assistance is especially important: relying on the AI assistance can save time, and can therefore be beneficial when the AI is likely to be right. We would ideally adapt what AI assistance we show depending on various properties (of the task and of the user) in order to best trade off accuracy and time. We…
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Taxonomy
TopicsDecision-Making and Behavioral Economics · Ethics and Social Impacts of AI · Personality Traits and Psychology
