The Relationship between Computer Self-Efficacy and Human-Automation Integrated Performance

Abstract

Computer self-efficacy (CSE) has been identified as a major determinant of computer-related ability and usage in organizational contexts. However, there has been little research on the impact of CSE on the use of high level automation. In order to examine this relationship, participants completed a visual search task with the assistance of an automated diagnostic aid which varied in reliability from moderately reliable (70%) to highly reliable (90%). After completion of the task, a median split was performed on participants' CSE scores to divide participants into high-CSE and low-CSE groups. We examined the relationship between CSE and trust and utilization of the aid. High-CSE participants trusted the system more and generated significantly more hits than low-CSE participants, particularly on trials in which the aid was highly reliable. This study provides insight into the potential significance of personality factors in shaping human-automation interaction and has implications for designers of automated aids.

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