Villa, Steeven, Welsch, Robin, Denisova, Alena orcid.org/0000-0002-1497-5808 et al. (1 more author) (2024) Evaluating Interactive AI: Understanding and Controlling Placebo Effects in Human-AI Interaction. In: CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. ACM
Abstract
In the medical field, patients often experience tangible benefits from treatments they expect will improve their condition, even if the treatment has no mechanism of effect. This phenomenon often obscuring scientific evaluation of human treatment is termed the "placebo effect." Latest research in human-computer interaction has shown that using cutting-edge technologies similarly raises expectations of improvement, culminating in placebo effects that undermine evaluation efforts for user studies. This workshop delves into the role of placebo effects in human-computer interaction for cutting-edge technologies such as artificial intelligence, its influence as a confounding factor in user studies, and identifies methods that researchers can adopt to reduce its impact on study findings. By the end of this workshop, attendees will be equipped to incorporate placebo control measures in their experimental designs.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 14 May 2024 10:10 |
Last Modified: | 02 Apr 2025 23:34 |
Published Version: | https://doi.org/10.1145/3613905.3636304 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3613905.3636304 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212517 |