自动化
背景(考古学)
计算机科学
人际交往
知识管理
透视图(图形)
人机交互
风险分析(工程)
心理学
社会心理学
工程类
人工智能
业务
机械工程
古生物学
生物
作者
John D. Lee,Katrina A. See
出处
期刊:Human Factors
[SAGE]
日期:2004-01-01
卷期号:46 (1): 50-80
被引量:2802
标识
DOI:10.1518/hfes.46.1.50_30392
摘要
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.
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