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Measurement of the Propensity to Trust Automation

Jessup, Sarah Ann
http://rave.ohiolink.edu/etdc/view?acc_num=wright1546539766821916

Abstract Details

2018, Master of Science (MS), Wright State University, Human Factors and Industrial/Organizational Psychology MS.
Few studies have examined how propensity to trust in automation influences trust behaviors, those which indicate users are relying on automation. Of the published studies, there are inconsistencies in how propensity to trust automation is conceptualized and thus measured. Research on attitudes and intentions has discerned that reliability and validity of measures can be increased by using more direct and specific language, which reduces ambiguity and increases the ability to predict behavior. This study examined how traditional measures of propensity to trust automation could be adapted to predict whether automation is deemed as trustworthy (perceived trustworthiness) and whether people behave in a trusting manner when interacting with automation (behavioral trust). Participants (N = 55) completed three propensity to trust in automation surveys including Propensity to Trust in Technology, an adapted version, and the Complacency-Potential Rating Scale. The Propensity to Trust in Technology scale was adapted by replacing “technology” with “automated agent” as the referent. Participants played a modified investor/dictator game, where people teamed with a NAO robot. Betting behaviors were used to measure behavioral trust. This study demonstrated that compared to generally-worded measures, more specifically-worded measures of propensity to trust automation are more reliable and better predictors of perceived trustworthiness and behavioral trust. An adapted propensity to trust technology scale was the only significant predictor of both perceived trustworthiness of the automation and the trusting behaviors of participants. By decreasing the ambiguity of the referent in the adapted propensity to trust automation scale, the reliability and predictive validity was increased.
Tamera Schneider, Ph.D. (Advisor)
Gary Burns, Ph.D. (Committee Member)
Gene Alarcon, Ph.D. (Committee Member)
64 p.
Personality; Personality Psychology; Psychology; Robots; Social Psychology
trust; automation; propensity to trust; personality; measurement

Recommended Citations

Citations

  • Jessup, S. A. (2018). Measurement of the Propensity to Trust Automation [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1546539766821916

    APA Style (7th edition)

  • Jessup, Sarah. Measurement of the Propensity to Trust Automation. 2018. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1546539766821916.

    MLA Style (8th edition)

  • Jessup, Sarah. "Measurement of the Propensity to Trust Automation." Master's thesis, Wright State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1546539766821916

    Chicago Manual of Style (17th edition)

wright1546539766821916
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© 2018, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.