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Measuring Trust in Human Robot Interactions: Development of the “Trust Perception Scale-HRI”

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Robust Intelligence and Trust in Autonomous Systems

Abstract

As robots penetrate further into the everyday environments, trust in these robots becomes a crucial issue. The purpose of this work was to create and validate a reliable scale that could measure changes in an individual’s trust in a robot. Assessment of current trust theory identified measurable antecedents specific to the human, the robot, and the environment. Six experiments subsumed the development of the 40 item trust scale. Scale development included the creation of a 156 item pool. Two experiments identified the robot features and perceived functional characteristics that were related to the classification of a machine as a robot for this item pool. Item pool reduction techniques and subject matter expert (SME) content validation were used to reduce the scale to 42 items. The two final experiments were then conducted to validate the scale. The finalized 40 item pre-post interaction trust scale was designed to measure trust perceptions specific to human-robot interaction. The scale measures trust on a 0–100 % rating scale and provides a percentage trust score. A 14 item sub-scale of this final version of the test recommended by SMEs may be sufficient for some HRI tasks, and the implications of this proposition are discussed.

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Acknowledgments

This research is a continuation of the author’s dissertation work supported in part by the US Army Research Laboratory (Cooperative Agreement Number W911-10-2-0016) and in part by an appointment to the US Army Research Postdoctoral Fellowship Program administered by the Oak Ridge Associated Universities through a cooperative agreement with the US Army Research Laboratory (Cooperative Agreement Number W911-NF-12-2-0019). The views and conclusions contained in this document are those of the author and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the US Government. The US Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. Special acknowledgments hereby include the author’s dissertation committee: Drs. Peter A. Hancock, John D. Lee, Florian Jentsch, Peter Kincaid, Deborah R. Billings, and Lauren Reinerman. Additional acknowledgments are made to internal technical reviewers from the US Army Research Laboratory: Dr. Susan G. Hill, Dr. Don Headley, Mr. John Lockett, Dr. Kim Drnec, and Dr. Katherine Gamble.

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Authors and Affiliations

  1. US Army Research Laboratory, Human Research and Engineering Directorate, 459 Mulberry Point Rd., Aberdeen Proving Ground, MD, 21005, USA

    Kristin E. Schaefer

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  1. Kristin E. Schaefer
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Correspondence to Kristin E. Schaefer .

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Editors and Affiliations

  1. Naval Research Laboratory, Washington, DC, USA

    Ranjeev Mittu

  2. Naval Research Laboratory, Washington, DC, USA

    Donald Sofge

  3. Georgia Tech Research Institute, Atlanta, Georgia, USA

    Alan Wagner

  4. Paine College, Augusta, Georgia, USA

    W.F. Lawless

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Schaefer, K.E. (2016). Measuring Trust in Human Robot Interactions: Development of the “Trust Perception Scale-HRI”. In: Mittu, R., Sofge, D., Wagner, A., Lawless, W. (eds) Robust Intelligence and Trust in Autonomous Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7668-0_10

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  • DOI: https://doi.org/10.1007/978-1-4899-7668-0_10

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  • Online ISBN: 978-1-4899-7668-0

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