Avoiding Decision Fatigue with AI-Assisted Decision-Making

Author:

Echterhoff Jessica Maria1ORCID,Melkote Aditya1ORCID,Kancherla Sujen1ORCID,McAuley Julian1ORCID

Affiliation:

1. University of California, San Diego, USA

Publisher

ACM

Reference76 articles.

1. User-centered Evaluation of Popularity Bias in Recommender Systems

2. Mohammad Mehdi Afsar, Trafford Crump, and Behrouz H. Far. 2021. Reinforcement learning based recommender systems: A survey. CoRR abs/2101.06286 (2021), 1. arXiv:2101.06286https://arxiv.org/abs/2101.06286

3. Hierarchical Transformers for Group-Aware Sequential Recommendation: Application in MOBA Games

4. Algorithm Overdependence: How the Use of Algorithmic Recommendation Systems Can Increase Risks to Consumer Well-Being

5. Roy F. Baumeister, Ellen Bratslavsky, Mark Muraven, and Dianne M. Tice. 1998. Ego depletion: is the active self a limited resource?Journal of personality and social psychology 74 5 (1998), 1252–65. https://api.semanticscholar.org/CorpusID:14627317

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