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Erin K Chiou

Biographic Data

ID5382144
NAMEErin K Chiou
GIVEN NAMESErin K
FAMILY NAMEChiou
SIGNATURECHIOU E K
AFFILIATIONSArizona State University
ORCID0000-0002-7201-8483
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A work system team perspective for AI in higher education

    Bris Mueller, Erin K Chiou•ARTICLE•Communication Education•2025

    Artificial intelligence (AI) is transforming higher education through personalized learning, teaching assistance and productivity aids, and more efficient administrative processes. Yet, treating AI

  • I Just Don’t Trust Them’

    Open Access•Maria Goldshtein, Erin K Chiou et al.•ARTICLE•Societies•2024•References: 12

    Demographic data pertain to people’s identities and behaviors. Analyses of demographic data are used to describe patterns and predict behaviors, to inform interface design, and even institutional decision-making processes. Demographic data thus need to be complete and correct to ensure they can be analyzed in ways that reflect reality. This study consists of interviews with 40 people in STEM and addresses how causes of relational (dis)trust in de…

  • Towards Human–Robot Teaming

    Open Access•Erin K Chiou, Mustafa Demir et al.•ARTICLE•International Journal of Social…•2022

  • Trust influences perceptions of virtual humans, but not necessarily learning

    Open Access•Noah L Schroeder, Erin K Chiou et al.•ARTICLE•Computers & Education•2021

  • How we trust, perceive, and learn from virtual humans

    Open Access•Erin K Chiou, Noah L Schroeder et al.•ARTICLE•Computers & Education•2020

  • Bridging psychology and engineering to make technology work for people

    Open Access•Rod D Roscoe, D Vaughn Becker et al.•ARTICLE•American Psychologist•2019•References: 1

    Engineering grand challenges and big ideas not only demand innovative engineering solutions, but also typically involve and affect human thought, behavior, and quality of life. To solve these types of complex problems, multidisciplinary teams must bring together experts in engineering and psychological science, yet fusing these distinct areas can be difficult. This article describes how Human Systems Engineering (HSE) researchers have confronted …

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  • Bridging psychology and engineering to make technology work for people

    Open Access•Rod D Roscoe, D Vaughn Becker et al.•ARTICLE•American Psychologist•2019•References: 1

    Engineering grand challenges and big ideas not only demand innovative engineering solutions, but also typically involve and affect human thought, behavior, and quality of life. To solve these types of complex problems, multidisciplinary teams must bring together experts in engineering and psychological science, yet fusing these distinct areas can be difficult. This article describes how Human Systems Engineering (HSE) researchers have confronted …

  • How we trust, perceive, and learn from virtual humans

    Open Access•Erin K Chiou, Noah L Schroeder et al.•ARTICLE•Computers & Education•2020

  • Trust influences perceptions of virtual humans, but not necessarily learning

    Open Access•Noah L Schroeder, Erin K Chiou et al.•ARTICLE•Computers & Education•2021

  • Towards Human–Robot Teaming

    Open Access•Erin K Chiou, Mustafa Demir et al.•ARTICLE•International Journal of Social…•2022

  • I Just Don’t Trust Them’

    Open Access•Maria Goldshtein, Erin K Chiou et al.•ARTICLE•Societies•2024•References: 12

    Demographic data pertain to people’s identities and behaviors. Analyses of demographic data are used to describe patterns and predict behaviors, to inform interface design, and even institutional decision-making processes. Demographic data thus need to be complete and correct to ensure they can be analyzed in ways that reflect reality. This study consists of interviews with 40 people in STEM and addresses how causes of relational (dis)trust in de…

  • A work system team perspective for AI in higher education

    Bris Mueller, Erin K Chiou•ARTICLE•Communication Education•2025

    Artificial intelligence (AI) is transforming higher education through personalized learning, teaching assistance and productivity aids, and more efficient administrative processes. Yet, treating AI

Computer Science (6 works) · Psychology (5 works) · Artificial Intelligence (4 works) · Sociology (4 works) · Applied Psychology (3 works) · Engineering (3 works) · Human–computer interaction (3 works) · Knowledge management (2 works) · Medicine (2 works) · Multimedia (2 works)

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