From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction

By Ewart J. de Visser, Richard Pak, Tyler H. Shaw. Ergonomics, 2018

355 citations recorded by the source corpus.

Subfields: Safety Research, Social Psychology, Surgery

View Paper: https://www.semanticscholar.org/paper/356a9b70a4d3b728276163ce539d16666f72317b

How researchers see this paper

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

In Safety Research

1. Thomas A. O'Neill
2. Wei Xu
3. Marvin J. Dainoff
4. Zaifeng Gao
5. Liezhong Ge

In Social Psychology

1. Thomas A. O'Neill
2. Amy Barron
3. Mark Antonius Neerincx
4. Tyler H. Shaw
5. Beau G. Schelble
6. Nathan J. Mcneese
7. Spencer Kohn
8. Richard Pak

Citations in the corpus

• Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI (2021, background): “…intelligent air traffic management system (Kistan et al., 2018), operator-intelligent robot teaming (Calhoun et al., 2018), pilot-system teaming on the intelligent flight deck (Brandt et al., 2018), driver-system teaming in high-level autonomous vehicles (de Visser et al., 2018; Navarro, 2019).”
• Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2020, background): “Despite their positioning on the same unidimensional continuum, however, automation and autonomy can be studied as different phenomena (de Visser et al., 2018; Hancock, 2017).”
• Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams (2019, background): “Even though trust between humans and robots may not be tantamount to trust among humans [87], we may still draw insights from human–human trust development frameworks [29].”