"AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI
CoRR(2023)
摘要
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
更多查看译文
关键词
placebo effect,ai,performance
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要