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1
Avoiding Decision Fatigue with AI-Assisted Decision-Making:
, In:
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
,
Echterhoff, Jessica Maria
;
Melkote, Aditya
;
Kancherla, Sujen
. - p. 1-11 , 2024
Link:
https://dl.acm.org/doi/10.1145/3627043.3659569
RT T1 <cTitle>Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization</cTitle>: T1 <Title>Avoiding Decision Fatigue with AI-Assisted Decision-Making</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3659569&Exemplar=1&LAN=DE A1 Echterhoff, Jessica Maria A1 Melkote, Aditya A1 Kancherla, Sujen A1 McAuley, Julian PB ACM YR 2024 K1 Efficient Decision-Making K1 Recommender Systems K1 Human-centered computing K1 Human computer interaction (HCI) K1 Interaction design K1 Interaction design process and methods K1 Scenario-based design K1 Computing methodologies K1 Machine learning SP 1 OP 11 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3627043.3659569 DO https://dl.acm.org/doi/10.1145/3627043.3659569 SF ELIB - SuUB Bremen
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