Trust in automation: designing for appropriate reliance.
Automation is often problematic because people fail to rely upon it appropriately. Because people respond to technology socially, trust influences reliance on automation. In particular, trust guides reliance when complexity and unanticipated situations make a complete understanding of the automation impractical. This review considers trust from the organizational, sociological, interpersonal, psychological, and neurological perspectives. It considers how the context, automation characteristics, and cognitive processes affect the appropriateness of trust. The context in which the automation is used influences automation performance and provides a goal-oriented perspective to assess automation characteristics along a dimension of attributional abstraction. These characteristics can influence trust through analytic, analogical, and affective processes. The challenges of extrapolating the concept of trust in people to trust in automation are discussed. A conceptual model integrates research regarding trust in automation and describes the dynamics of trust, the role of context, and the influence of display characteristics. Actual or potential applications of this research include improved designs of systems that require people to manage imperfect automation.
Lee
John D
JD
Department of Mechanical and Industrial Engineering, University of Iowa, Iowa City, IA 52245, USA. jdlee@engineering.uiowa.edu
See
Katrina A
KA
D001292:Attitude to Computers; D001331:Automation; D002138:Calibration; D006801:Humans; D009936:Organizational Innovation; D012680:Sensitivity and Specificity; D035502:Trust / Q000523:psychology*; D014481:United States