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Multi-method Approach Measuring Trust, Distrust, and Suspicion in Information Technology

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HCI for Cybersecurity, Privacy and Trust (HCII 2020)

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Abstract

In two studies, we examined the measurement of complex state variables with length of response, construct word counts, Likert-type responding, self-reports of past behaviors, and implicit associations. In the first study, participants were primed to write in a control condition and a suspicion condition, which were also used as referents for self-reports, past behaviors, and priming for implicit associations. In the second study, participants were primed for trust and distrust. Results indicated length of response, construct word counts, Likert-type responding, and self-reports of behavior were all affected by the manipulations, indicating they measure the state constructs adequately. However, length of response was also influenced by which condition participants received first, indicating a possible exhaustion effect. Implicit associations indicated no change due to the manipulations.

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Acknowledgements

This research has been approved for public release: 88ABW Cleared 4/27/17; 88ABW-2017-1800. This research was supported in part by an appointment to the Postgraduate Research Participant Program at the U.S. Air Force Research Laboratory, 711th Human Performance Wing, Airman Systems Directorate, Warfighter Interface Division, Collaborative Interfaces and Teaming Branch administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and USAFRL.

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Authors and Affiliations

  1. Air Force Research Laboratory, Wright-Patterson AFB, Dayton, OH, USA

    Sarah A. Jessup, Gene M. Alarcon & August Capiola

  2. General Dynamics Information Technology, Dayton, OH, 45431, USA

    Tyler J. Ryan

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  1. Sarah A. Jessup
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  2. Gene M. Alarcon
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  3. August Capiola
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  4. Tyler J. Ryan
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Correspondence to Gene M. Alarcon .

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  1. San Jose State University, San Jose, CA, USA

    Abbas Moallem

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Jessup, S.A., Alarcon, G.M., Capiola, A., Ryan, T.J. (2020). Multi-method Approach Measuring Trust, Distrust, and Suspicion in Information Technology. In: Moallem, A. (eds) HCI for Cybersecurity, Privacy and Trust. HCII 2020. Lecture Notes in Computer Science(), vol 12210. Springer, Cham. https://doi.org/10.1007/978-3-030-50309-3_27

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  • DOI: https://doi.org/10.1007/978-3-030-50309-3_27

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