Foundations for an Empirically Determined Scale of Trust in Automated Systems

By Jiun-Yin Jian, A. Bisantz, C. Drury, J. Llinas. 2000

741 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology, Surgery

View Paper: https://www.semanticscholar.org/paper/d3f274a407ab237cfffc822dae103b108b9bdfff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Social Psychology

1. Eric D. Ragan
2. Niloofar Zarei
3. Sina Mohseni

In Surgery

1. Eric D. Ragan
2. Niloofar Zarei
3. Sina Mohseni

Citations in the corpus

• Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning (2020, neutral): “[23] with respect to the interpretability tool.”
• A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, background): “easure trust in different ways. User knowledge, technical competence, familiarity, confidence, beliefs, faith, emotions, and personal attachments are common terms used to analyze and investigate trust [79,54]. For these outcomes, user trust and reliance can be measured by explicitly asking about user”