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Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation

Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation

Johannes Maria Kraus, Yannick Forster, Sebastian Hergeth, Martin Baumann
Copyright: © 2019 |Volume: 11 |Issue: 3 |Pages: 17
ISSN: 1942-390X|EISSN: 1942-3918|EISBN13: 9781522565666|DOI: 10.4018/IJMHCI.2019070101
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MLA

Kraus, Johannes Maria, et al. "Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation." IJMHCI vol.11, no.3 2019: pp.1-17. http://doi.org/10.4018/IJMHCI.2019070101

APA

Kraus, J. M., Forster, Y., Hergeth, S., & Baumann, M. (2019). Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation. International Journal of Mobile Human Computer Interaction (IJMHCI), 11(3), 1-17. http://doi.org/10.4018/IJMHCI.2019070101

Chicago

Kraus, Johannes Maria, et al. "Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation," International Journal of Mobile Human Computer Interaction (IJMHCI) 11, no.3: 1-17. http://doi.org/10.4018/IJMHCI.2019070101

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Abstract

Trust calibration takes place prior to and during system interaction along the available information. In an online study N = 519 participants were introduced to a conditionally automated driving (CAD) system and received different a priori information about the automation's reliability (low vs high) and brand of the CAD system (below average vs average vs above average reputation). Trust was measured three times during the study. Additionally, need for cognition (NFC) and other personality traits were assessed. Both heuristic brand information and reliability information influenced trust in automation. In line with the Elaboration Likelihood Model (ELM), participants with high NFC relied on the reliability information more than those with lower NFC. In terms of personality traits, materialism, the regulatory focus and the perfect automation scheme predicted trust in automation. These findings show that a priori information can influence a driver's trust in CAD and that such information is interpreted individually.

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