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Factors Influencing Trust Assessment in Technology

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Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12936))

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Abstract

This study presents exploratory research on how to measure perceived Trust in technology across culture. Builds from a validated Human-Computer Trust Model (HCTM) questionnaire (12 items) to efficiently measure users’ predispositions to trust a technological artefact (e.g. WhatsApp). This approach aims to provide results that are not tied to a specific context while also focusing on underexplored populations. Two central research questions guided this research: RQ1: Can the Human-Computer Trust Scale (HCTS) be used to map trust behaviors across different cultures? And RQ2: Can the Human-Computer Trust scale be used to support trustworthy design practices? This research aimed first to gain new insights on how to measure users Trust in technology across-culture and second, reflect how useful the trust scale is to map user’s Trust in a system. The study contemplates designers (n = 5) and users (n = 91). Results indicate that the Human-Computer Trust scale (HCTS) can be a useful, easy-to-use tool to map users trust predispositions but needs to be complemented with additional guidance on how to analyze and interpret the results. Same regards on mapping trust behaviors across culture if analyzed with complementary indicators like gender differences, privacy perception.

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Authors and Affiliations

  1. School of Digital Technologies, Tallinn University, Tallinn, Estonia

    Sonia Sousa & Gabriela Beltrão

  2. University of Trás-os-Montes e Alto Douro (UTAD), Vila Real, Portugal

    Sonia Sousa

Authors
  1. Sonia Sousa
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  2. Gabriela Beltrão
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Corresponding author

Correspondence to Sonia Sousa .

Editor information

Editors and Affiliations

  1. Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

  2. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Rosa Lanzilotti

  3. Computer Science Department, University of Pisa, Pisa, Italy

    Alessio Malizia

  4. Department of Computer Science, University of York, York, UK

    Helen Petrie

  5. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  6. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Giuseppe Desolda

  7. Microsoft Research, Redmond, WA, USA

    Kori Inkpen

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Sousa, S., Beltrão, G. (2021). Factors Influencing Trust Assessment in Technology. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12936. Springer, Cham. https://doi.org/10.1007/978-3-030-85607-6_49

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  • DOI: https://doi.org/10.1007/978-3-030-85607-6_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85606-9

  • Online ISBN: 978-3-030-85607-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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