Measuring Trust in Automation in Operational Aeromedical Settings: A Systematic Review of the Literature
Abstract
As military environments integrate more complex technological systems, operators increasingly require more assistance in the form of automation. When used properly, automation has the potential to significantly enhance performance; however, proper use is predicated on the operators trust in the automation (TIA). TIA, like trust among people, is a complex construct that is influenced by biological, psychosocial, and behavioral aspects that affect (and are affected by) how a user feels about a system. While options for measuring TIA have rapidly expanded in the past decade, there has been little consideration for how well these measures can perform in operational environments. The purpose of this review was to explore the literature produced over the previous ten years to identify all means of measuring TIA, evaluating the quality of the studies that used each measure, and rating how well each measure would perform in an operational aeromedical environment. A recommendation of 28 behavioral, physiological, and user-reported TIA measures is provided, as well as a list of 23 measures with a cautious recommendation (including caveats for use) and six TIA measures that are not recommended. While these recommendations offer a starting point for testing TIA in aeromedical settings, further research is required to test how well these recommended measures actually perform in an operational aeromedical environment.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 12, 2023
- Accession Number
- AD1217068
Entities
People
- Bethany Ranes
- Emily Kenser
- Jordayne Wilkins
- Marissa Caid-loos
Organizations
- United States Army