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1 Ergebnisse
1
An Information Bottleneck Characterization of the Understan..:
, In:
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency
,
Sanneman, Lindsay
;
Tucker, Mycal
;
Shah, Julie A.
- p. 2175-2198 , 2024
Link:
https://dl.acm.org/doi/10.1145/3630106.3659032
RT T1 <cTitle>Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3659032&Exemplar=1&LAN=DE A1 Sanneman, Lindsay A1 Tucker, Mycal A1 Shah, Julie A. PB ACM YR 2024 K1 explainable AI K1 human factors K1 information bottleneck K1 workload K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 User studies K1 User models K1 Mathematics of computing K1 Information theory K1 Empirical studies in HCI K1 HCI theory, concepts and models SP 2175 OP 2198 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3630106.3659032 DO https://dl.acm.org/doi/10.1145/3630106.3659032 SF ELIB - SuUB Bremen
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