EVALUATING THE INFLUENCE OF ARTIFICIAL INTELLIGENCE FEEDBACK ON HUMAN CONFIDENCE AND DECISION ACCURACY IN COMPLEX PROBLEM- SOLVING TASKS
Mariam Omolola Oparinde, John Olalere Ogunlola, Oluwakemisola Adewole, Bisola Kafayat Oyebamiji, Dan Taiye Aremu, Blessing Alice Alao-Olatunji
University of Greater Manchester University of Manchester London Metropolitan University
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The increasing use of artificial intelligence (AI) in decision-support systems has reshaped human performance in complex problem-solving, yet its effects on confidence, trust, and accuracy remain unclear. This study investigates how AI generated feedback influences decision accuracy, confidence, and reliance behaviour using 3,400 trial-level observations from 100 participants in a chess-based dataset. Results show that decision accuracy improves significantly after AI feedback (mean increase from 0.43 to 0.82), particularly under accurate feedback conditions. While misleading feedback reduces post-decision confidence, overall confidence shifts remain small (mean = 0.08). Reliance on AI is strongly associated with improved performance (r ˜0.66). Machine-learning models further confirm that trust behaviour and feedback accuracy, rather than confidence, are the strongest predictors of decision outcomes.
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社会科学Human-Automation Interaction and Safety
Decision-Making and Behavioral Economics · Explainable Artificial Intelligence (XAI)