ACM CHI – International Conference on Human Factors in Computing Systems
To Use or Not to Use
Impatience and Overreliance When Using Generative AI Productivity Support Tools
Participants’ actual AI-use decisions (blue line) diverged from the optimal strategy (red line) as AI latency varied: the red area shows the “Gulf of Impatience,” where participants abandoned useful AI too early, and the blue area shows the “Gulf of Overreliance,” where they waited longer than they should. Similar gaps emerged when varying the AI’s error rate.
Generative AI has the potential to assist people with completing various tasks, but increased productivity is not guaranteed due to challenges such as uncertainty in output quality and unclear processing time. Through an online crowdsourced experiment (N=508), leveraging a “paint by numbers” task to simulate properties of GenAI assistance, we explore how, and how well, users make decisions on whether to use or not use automation to maximize their productivity given varying waiting times and output quality. We observed gaps between user’s actual choices and their optimal choices and characterized these gaps as the “gulf of impatience” and the “gulf of overreliance.” We also distilled strategies that participants adopted when making their decisions. We discuss design considerations in supporting users to make more informed decisions when interacting with GenAI tools and make these tools more useful for improving users’ task performance, productivity and satisfaction.
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