Andrew Prahl is an Assistant Professor in the Wee Kim Wee School of Communication and Information. His research interest lies in the replacement of humans with various forms of automation, including algorithms, AI advisors and robots. Andrew’s publications include investigations into automated versus human advice and the integration of automated decision-making into human teams.
My research goal is to understand the behavioral and psychological effects of replacing humans with automation. I am especially focused on the people who must work with new automation in the professional or personal lives after the machine has taken some or all of the duties of a human colleague. I take a broad view of automation in that I am interested in researching everything from a simple decision-making algorithm to complex AI systems and social robots. My work thus far reflects this approach with publications that discuss medical-decision making, automated advice, and human-automation teaming.
Investigating the effects of replacing humans with machines.
Prahl, A., & Van Swol, L. (2017). Understanding algorithm aversion: When is advice from automation discounted?. Journal of Forecasting, 36(6), 691-702.
Prahl, A., & Enright, R. D. (2017). Forgiving Computers: The rise of automation and implications for counseling. Counseling and Values, 62(2), 144-158.
Prahl, A., Dexter, F., Van Swol, L., Braun, M. T., & Epstein, R. H. (2015). E-mail as the appropriate method of communication for the decision-maker when soliciting advice for an intellective decision task. Anesthesia & Analgesia, 121(3), 669-677.
- Understanding Machine Movement: What is Perceived as “Robotic”
- Human-Machine Communication Centered Design: How a Communication Centric View will Improve Performance, Safety and Acceptance of Emerging Technologies
- Regulatory Focus and Trust of Algorithmic Advice
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