Work

Measuring Trust in the XAI Context

Year: 2021

Type: preprint

Abstract: 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).

DOI: 10.31234/osf.io/e3kv9

Authors: Robert Hoffman, Shane T. Mueller, Gary Klein, Jordan Litman

Institutions: Florida Institute for Human and Machine Cognition, Michigan Technological University

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Air Force Research Laboratory

Award: G6708746368

OpenAlex ID: W4235315377

Cites: 66

Cited by: 19

Related to: 10