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An Assessment Of Trust In Artificial Intelligent Agents: Tool Development

Author

Listed:
  • Anton Angelgardt

    (National Research University Higher School of Economics)

  • Elena S. Gorbunova

    (National Research University Higher School of Economics)

  • Maria Chumakova

    (National Research University Higher School of Economics)

Abstract

The current state of technology means people find themselves interacting with and having to trust artificial intelligent agents. However, despite the considerable history of trust studies, there is no agreement on what trust is and what this construct consists of. The study elaborates on the construct of trust in artificial intelligent agents and develops a questionnaire to assess this construct. Reliability, validity, internal consistency, and other essential statistical parameters of the scale are examined. In addition, difficulty and discrimination coefficients analysed to measure their properties. Confirmatory factor analysis is used to verify the theoretical structure of the developed construct on empirical data. As a result, the conclusion about the applicability of the developed scale is made

Suggested Citation

  • Anton Angelgardt & Elena S. Gorbunova & Maria Chumakova, 2021. "An Assessment Of Trust In Artificial Intelligent Agents: Tool Development," HSE Working papers WP BRP 128/PSY/2021, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:128psy2021
    as

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    File URL: https://wp.hse.ru/data/2021/11/30/1450979312/128PSY2021.pdf
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    References listed on IDEAS

    as
    1. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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    More about this item

    Keywords

    trust; artificial intelligence; questionnaire development.;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

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