AN ASSESSMENT OF TRUST IN ARTIFICIAL INTELLIGENT AGENTS: TOOL DEVELOPMENT

Anton Angelgardt (aangelgardt@hse.ru), Elena Gorbunova (esgorbunova@hse.ru) and Maria Chumakova (mchumakova@hse.ru)
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Anton Angelgardt: National Research University Higher School of Economics
Elena Gorbunova: National Research University Higher School of Economics
Maria Chumakova: National Research University Higher School of Economics

HSE Working papers from 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

Keywords: trust; artificial intelligence; questionnaire development. (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 26 pages
Date: 2021
New Economics Papers: this item is included in nep-big
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Published in WP BRP Series: Science, Psychology / PSY, November 2021, pages 1-26

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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:128psy2021

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