The Impact of Automation Conditions on Reliance Dynamics and Decision-Making
Abstract
The decision process of engaging or disengaging automation has been termed reliance on automation, and it has been widely analyzed as a summary measure of automation usage rather than a dynamic measure. We provide a framework for defining temporal reliance dynamics and apply it to a data-set from a previous study. Our findings show that (1) the higher the reliability of an automated system, the larger the reliance over time; and (2) more workload created by the automation type does not significantly affect the operators’ reliance dynamics in high-reliability systems, but it does produce greater reliance in low-reliability systems. Furthermore, on average, operators with low performance make fewer decision changes and prefer to stick to their decision of using automation even if it is not performing well. Operators with high performance, on average, have a higher frequency of decision change, and therefore, their automation usage periods are shorter.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 01, 2022
- Source ID
- 10.1177/1071181322661477
Entities
People
- Carlos Bustamante Orellana
- Gregory M. Gremillion
- Jason S. Metcalfe
- Lixiao Huang
- Lucero Rodriguez Rodriguez
- Mustafa Demir
- Nancy J Cooke
- Polemnia G. Amazeen
- Yun Kang
Organizations
- Arizona State University
- United States Army Research Laboratory