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The Role of Behavioral Anthropomorphism in Human-Automation Trust Calibration

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Book cover Artificial Intelligence in HCI (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12217))

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Abstract

Trust has been identified as a critical factor in the success and safety of interaction with automated systems. Researchers have referred to “trust calibration” as an apt design goal– user trust should be at an appropriate level given a system’s reliability. One factor in user trust is the degree to which a system is perceived as humanlike, or anthropomorphic. However, relevant prior work does not explicitly characterize trust appropriateness, and generally considers visual rather than behavioral anthropomorphism. To investigate the role of humanlike system behavior in trust calibration, we conducted a 2 (communication style: machinelike, humanlike) \(\times \) 2 (reliability: low, high) between-subject study online where participants collaborated alongside an Automated Target Detection (ATD) system to classify a set of images in 5 rounds of gameplay. Participants chose how many images to allocate to the automation before each round, where appropriate trust was defined by a number of images that optimized performance. We found that communication style and reliability influenced perceptions of anthropomorphism and trustworthiness. Low and high reliability participants demonstrated overtrust and undertrust, respectively. The implications of our findings for the design and research of automated and autonomous systems are discussed in the paper.

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Notes

  1. 1.

    Estimated marginal means are reported at the mean IDAQ score of 4.17.

  2. 2.

    Levene’s test was violated only for first round trust appropriateness.

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Acknowledgments

The authors would like to thank Md Abdullah Al Fahim and Kristine Nowak for their insights while preparing this experiment and manuscript.

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Authors and Affiliations

  1. University of Connecticut, Storrs, Mansfield, CT, 06269, USA

    Theodore Jensen & Mohammad Maifi Hasan Khan

  2. Central Connecticut State University, New Britain, CT, 06053, USA

    Yusuf Albayram

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  1. Theodore Jensen
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  2. Mohammad Maifi Hasan Khan
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  3. Yusuf Albayram
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Correspondence to Theodore Jensen .

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Editors and Affiliations

  1. Siemens, Princeton, USA

    Helmut Degen

  2. University of Central Florida, Orlando, FL, USA

    Lauren Reinerman-Jones

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Jensen, T., Khan, M.M.H., Albayram, Y. (2020). The Role of Behavioral Anthropomorphism in Human-Automation Trust Calibration. In: Degen, H., Reinerman-Jones, L. (eds) Artificial Intelligence in HCI. HCII 2020. Lecture Notes in Computer Science(), vol 12217. Springer, Cham. https://doi.org/10.1007/978-3-030-50334-5_3

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  • DOI: https://doi.org/10.1007/978-3-030-50334-5_3

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