The Dynamics of Collaborative Decision-Making with Intelligent Systems
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49215-0_20
Reference19 articles.
1. National Academies of Sciences, Engineering, and Medicine: Human-AI Teaming: State of the Art and Research Needs. National Academies Press, Washington, D.C. (2021). https://doi.org/10.17226/26355
2. Chiang, C.-W., Yin, M.: Exploring the effects of machine learning literacy interventions on laypeople’s reliance on machine learning models (2022). https://doi.org/10.1145/3490099.3511121
3. Endsley, M.R.: Supporting Human-AI Teams: Transparency, explainability, and situation awareness. Comput. Hum. Behav., 107574 (2022). https://doi.org/10.1016/j.chb.2022.107574
4. Brynjolfsson, E.: The productivity paradox of information technology. Commun. ACM 36, 66–77 (1993). https://doi.org/10/ct4fx4
5. Sabherwal, R., Jeyaraj, A.: Information technology impacts on firm performance: an extension of Kohli and Devaraj. MISQ 39, 809–836 (2015). https://doi.org/10/gfxztb
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