scholarly journals Measuring Trust in the XAI Context

2021 ◽  
Author(s):  
Robert Hoffman ◽  
Shane T. Mueller ◽  
Gary Klein ◽  
Jordan Litman

Trust in automation, is of concern in computer science and cognitive systems engineering, as well as the popular media (e.g., Chancey et al., 2015; Hoff and Bashir 2015; Hoffman et al., 2009; Huynh et al., 2006; Naone, 2009; Merritt and Ilgen, 2008; Merritt et al. 2013, 2015a; Pop et al. 2015; Shadbolt, 2002; Wickens et al. ,2015; Woods and Hollnagel 2006). Trust is of particular concern as more AI systems are being developed and tested (Schaefer et al., 2016).

Author(s):  
John M. Flach ◽  
Peter Reynolds ◽  
Caroline Cao ◽  
Tiffany Saffell

This paper provides an introduction to Cognitive Systems Engineering (CSE) and Ecological Interface Design (EID), as important complements to more conventional Human Factors Engineering approaches. These complementary perspectives are essential for supporting productive thinking in complex work domains, such as healthcare. We suggest that EHR systems provide a unique opportunity to take advantage of these approaches to support Evidence-Based Practice (EBP) in healthcare and we show examples of these approaches to three different healthcare problems: cardiovascular health, pain management, and anemia.


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