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cs.HC2024
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems
Sujay Koujalgi, Andrew Anderson, Iyadunni Adenuga +8
Assessing an AI system's behavior-particularly in Explainable AI Systems-is sometimes done empirically, by measuring people's abilities to predict the agent's next move-but how to…
cs.HC2023
Understanding Driver Agency in RideSharing
Iyadunni Adenuga, Benjamin Hanrahan
Agency is an important human characteristic that users of automated complex technologies are usually denied. This affects the user's experience leading to decreased satisfaction an…
cs.HC2023
Conceptualizing the Relationship between AI Explanations and User Agency
Iyadunni Adenuga, Jonathan Dodge
We grapple with the question: How, for whom and why should explainable artificial intelligence (XAI) aim to support the user goal of agency? In particular, we analyze the relations…