Shaping a multidisciplinary understanding of team trust in human-AI teams: a theoretical framework-Reference-Cited by-同舟云学术

Shaping a multidisciplinary understanding of team trust in human-AI teams: a theoretical framework

Published:2023-04-20 Issue: Volume: Page:1-14
ISSN:1359-432X
Container-title:European Journal of Work and Organizational Psychology
language:en
Short-container-title:European Journal of Work and Organizational Psychology

Author:

Ulfert Anna-Sophie¹^ORCID,Georganta Eleni²,Centeio Jorge Carolina³,Mehrotra Siddharth³,Tielman Myrthe³^ORCID

Affiliation:

1. Human Performance Management Group, Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands

2. Programme group Work and Organizational Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, the Netherlands

3. Interactive Intelligence Group, Faculty of Electrical Engineering, Mathematics & Computer Science, Delft University of Technology, Delft, the Netherlands

Publisher

Informa UK Limited

Subject

Organizational Behavior and Human Resource Management,Applied Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/1359432X.2023.2200172

Reference92 articles.

1. A Unified Bi-Directional Model for Natural and Artificial Trust in Human–Robot Collaboration

2. Banavar, G. (2016, November). What it will take for US to trust AI. Harvard Business Review. https://hbr.org/2016/11/what-it-will-take-for-us-to-trust-ai

3. Data-Driven Decisions for Reducing Readmissions for Heart Failure: General Methodology and Case Study

4. Formal Analysis of Trust Dynamics in Human and Software Agent Experiments

5. Intention, Plans, and Practical Reason.

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