Development and Validation of the System Trustworthiness Scale

Author:

Alarcon Gene M.1ORCID,Capiola August1ORCID,Lee Michael A.2,Willis Sasha2,Hamdan Izz Aldin2,Jessup Sarah A.1,Harris Krista N.3

Affiliation:

1. Air Force Research Laboratory, Wright Patterson AFB, OH, USA

2. General Dynamics Information Technology Inc, Falls Church, VA, USA

3. Wright State University, Dayton, OH, USA

Abstract

Objective We created and validated a scale to measure perceptions of system trustworthiness. Background Several scales exist in the literature that attempt to assess trustworthiness of system referents. However, existing measures suffer from limitations in their development and validation. The current study sought to develop a scale based on theory and methodological rigor. Method We conducted exploratory and confirmatory factor analyses on data from two online studies to develop the System Trustworthiness Scale (STS). Additional analyses explored the manipulation of the factors and assessed convergent and divergent validity. Results The exploratory factor analyses resulted in a three-factor solution that represented the theoretical constructs of trustworthiness: performance, purpose, and process. Confirmatory factor analyses confirmed the three-factor solution. In addition, correlation and regression analyses demonstrated the scale’s divergent and predictive validity. Conclusion The STS is a psychometrically valid and predictive scale for assessing trustworthiness perceptions of system referents. Applications The STS assesses trustworthiness perceptions of systems. Importantly, the scale differentiates performance, purpose, and process constructs and is adaptable to a variety of system referents.

Funder

Air Force Research Laboratory

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

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3. Alarcon G., Willis S. (2023). Explaining Explainable Artificial Intelligence: An integrative model of objective and subjective influences on XAI. In Paper presented at Hawaii International Conference on System Sciences 2023 (HICSS-56).

4. IRONIES OF AUTOMATION

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