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The reverse Fundamental Attribution Error for automated systems
Driggs, Jade
Driggs, Jade
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Driggs_2024.pdf
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2024-04-26
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Driggs, Jade. 2024. The reverse Fundamental Attribution Error for automated systems. -- In Proceedings: 20th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University
Abstract
Consider a situation that most drivers have encountered: being cut off on the interstate by another driver. Well-established social psychology phenomena such as the Fundamental Attribution Error predict blaming the driver for the behavior (e.g., what a lousy driver; internal factor) instead of the situation (e.g., driver must be having a bad day; external factor). Interestingly, these attributions tend to reverse when making attributions to explain one's own behavior. This common misalignment in attributions for our own behavior and the behavior of others, often occurs in response to negative outcomes. As automated systems continue to proliferate throughout society, it is important for researchers to understand how humans might make attributions to explain the behavior of automated systems. 60 participants completed a visual search task. Participants alternated between performing the task themselves, and watching an imperfect automated system perform the same task. Task difficulty varied across four dimensions (i.e., clicks, feedback, set size, timing) and changed every five trials. A linear regression revealed significant differences in attributions for oneself and for the automated system. Participants attributed the cause of their own performance to internal factors and the cause of automated system's performance to external factors, reversing the predictions of the Fundamental Attribution Error. These results suggest that when performing a task and observing an imperfect automated system perform a task, humans make different attributions to explain performance. Interestingly, these differing attributions do not align with those predicted by Attribution Theory and highlight the nuances of our relationships with automated systems.
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Presented to the 20th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 26, 2024.
Research completed in the Department of Human Factors Psychology, Fairmount College of Liberal Arts & Sciences.
Research completed in the Department of Human Factors Psychology, Fairmount College of Liberal Arts & Sciences.
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Wichita State University
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GRASP
v. 20
v. 20