Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele. Designing and evaluating explainable AI for non-AI experts: challenges and opportunities. In Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock 0001, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge, editors, RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022. pages 735-736, ACM, 2022. [doi]
@inproceedings{SzymanskiVA22,
title = {Designing and evaluating explainable AI for non-AI experts: challenges and opportunities},
author = {Maxwell Szymanski and Katrien Verbert and Vero Vanden Abeele},
year = {2022},
doi = {10.1145/3523227.3547427},
url = {https://doi.org/10.1145/3523227.3547427},
researchr = {https://researchr.org/publication/SzymanskiVA22},
cites = {0},
citedby = {0},
pages = {735-736},
booktitle = {RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022},
editor = {Jennifer Golbeck and F. Maxwell Harper and Vanessa Murdock 0001 and Michael D. Ekstrand and Bracha Shapira and Justin Basilico and Keld T. Lundgaard and Even Oldridge},
publisher = {ACM},
isbn = {978-1-4503-9278-5},
}