"AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI
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Abstract (arXiv)
Heightened AI expectations facilitate performance in human-AI interactions through placebo effects. While lowering expectations to control for placebo effects is advisable, overly negative expectations could induce nocebo effects. In a letter discrimination task, we informed participants that an AI would either increase or decrease their performance by adapting the interface, but in reality, no AI was present in any condition. A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information. A replication study verified that negative AI descriptions do not alter expectations, suggesting that performance expectations with AI are biased and robust to negative verbal descriptions. We discuss the impact of user expectations on AI interactions and evaluation and provide a behavioral placebo marker for human-AI interaction
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 8 of its 123 references that are in the map. First posted on arXiv 28 Sep 2023.
Builds on
8 of 123 references.
References · 8
- 2021Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactionscited by 35
- 2019Toward a principled Bayesian workflow in cognitive sciencecited by 17
- 2023MAILS -- Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competenciescited by 17
- 2022Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methodscited by 13
- 2022The Placebo Effect of Artificial Intelligence in Human-Computer Interactioncited by 9
- 2018P-value: A Bless or A Curse for Evidence-Based Studies?cited by 4
- 2023Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memorycited by 2
- 2023Fears about AI-mediated communication are grounded in different expectations for one's own versus others' usecited by 2
Built on by
Citing papers per year: 2023: 1; 2024: 4; 2025: 4; 2026: 2.
11 papers.
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- 2025Mental Models of Autonomy and Sentience Shape Reactions to AIcited by 3
- 2023Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPTcited by 2
- 2024Position: Stop Making Unscientific AGI Performance Claimscited by 2
- 2025Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AIcited by 2
- 2025From Sound to Sight: Towards AI-authored Music Videoscited by 2
- 2024HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigationcited by 0
- 2024Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Taskscited by 0
- 2026AI Washing Inflates Expected Performance but Not Interaction Outcomes: An AI Placebo Study Using Fitts' Lawcited by 0
- 2026Beyond "ChatGPT Can Make Mistakes": Designing Interventions to Support Metacognitive Monitoring in AI-Assisted Workcited by 0
- 2026Beyond "ChatGPT Can Make Mistakes": Designing Interventions to Support Metacognitive Monitoring in AI-Assisted Work15 Sep 2026
- 2026AI Washing Inflates Expected Performance but Not Interaction Outcomes: An AI Placebo Study Using Fitts' Law1 May 2026
- 2025Mental Models of Autonomy and Sentience Shape Reactions to AI9 Dec 2025
- 2025From Sound to Sight: Towards AI-authored Music Videos20 Aug 2025
- 2025Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AI10 Feb 2025
- 2025Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions6 Feb 2025
- 2024Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Tasks17 Oct 2024
- 2024Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences18 Apr 2024
- 2024Position: Stop Making Unscientific AGI Performance Claims6 Feb 2024
- 2024HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation28 Jan 2024
- 2023Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT3 Nov 2023