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Measurement of trust over time in hybrid inspection systems

✍ Scribed by Reena Master; Xiaochun Jiang; Mohammad T. Khasawneh; Shannon R. Bowling; Larry Grimes; Anand K. Gramopadhye; Brian J. Melloy

Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
443 KB
Volume
15
Category
Article
ISSN
1090-8471

No coin nor oath required. For personal study only.

✦ Synopsis

A study was conducted to measure the effects of human trust and to determine how it develops over time in a hybrid inspection system given different types of errors (i.e., false alarms and misses). The study also looked at which of the four dimensions of trust (competence, predictability, reliability, and faith) were the best predictors of overall trust. Results from the study showed that trust is sensitive to the type of errors made by a system. There was a significant change in overall trust between the stages for the conservative and risky systems, but no significant change in the neutral system. In regards to the best predictors of trust, faith appeared as one of the predictors in all three trial blocks for the conservative and risky systems. As time progressed, predictability emerged in the second and third trial blocks for the conservative system. Competence played an important role in the development of trust for the risky system, whereas reliability played an important role for the neutral system. These results suggest that subjective ratings of trust and the properties of the system can be used to predict the allocation of functions in hybrid inspection systems.

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