Humans working with un -reliable automation: Reverse psychology versus disuse Model

Abstract

This paper investigated people’s behavior model and performance when working with an un-reliable automation. Automation with reliability higher than 70% is beneficial to human-automation system. Nevertheless, how automation with reliability far less than 70% affects human’s behavior and performance is yet unknown. Two types of behavior models: the reverse psychology model and the disuse model could occur when automation reliability is low but little research has investigated them. In this study, fourteen participants performed a two alternative forced choice (2AFC) memory test with an un-reliable automation with 20% or 40% reliability. Results showed that the number of occurrences of each behavior model was significantly affected by reliability level. When reliabil ity was 20%, there was a linear relationship between occurrence number of the reverse psychology model and performance improvement. Our findings provided a reference to better understand human behavior in a complex human-automation system where automation reliability could be low.

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