Trust in Automation

By Robert R. Hoffman, Matt Johnson, J. Bradshaw, A. Underbrink. 2013

120 citations recorded by the source corpus.

Subfields: Management Information Systems, Social Psychology, Surgery

How researchers see this paper

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

In Management Information Systems

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

In Social Psychology

1. Kristian Kersting
2. Eric D. Ragan
3. Stefano Teso
4. Niloofar Zarei
5. Sina Mohseni

In Surgery

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

Citations in the corpus

• Explanatory Interactive Machine Learning (2019, background): “This correction step is crucial for more directly affecting the learner’s beliefs and is integral to modulating trust [14, 18].”
• A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, background): “e during interviews and case studies. M4: User Trust and Reliance User trust in an intelligent system is an affective and cognitive element that influences positive or negative perceptions of a system [79,48]. Initial user trust and the development of trust over time have been studied and presented w”
• Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians (2019, background): “As health care providers rely more on AI, a proper trust relationship, also referred to as calibrated trust [33], becomes a requirement for effective decisions.”