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Diversity Challenges in Recruiting for Human-Centered Explainable AI Studies
Abstract
Recruiting participants is a pivotal yet challenging aspect of Human-Computer Interaction (HCI) research. In this position paper, we reflect on our experiences recruiting participants for multiple user studies within a human-centered Explainable AI project. Emphasizing the importance of participant diversity in terms of their AI knowledge and experiences, we discuss challenges, trade-offs, and strategies associated with recruiting for both in-person and remote participation.
Publisher Link
https://ieeexplore-ieee-org.uml.idm.oclc.org/document/10714553
Citation
A. I. Anik and A. Bunt, "Diversity Challenges in Recruiting for Human-Centered Explainable AI Studies," 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Liverpool, United Kingdom, 2024, pp. 429-431, doi: 10.1109/VL/HCC60511.2024.00067.
