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- The results show that feedback has a more significant impact on improving users' trust in AI than explainability, but this enhanced trust does not lead to a corresponding performance improvement. Further exploration suggests that feedback induces users to over-trust (i.e., accept the AI's suggestions when it is wrong) or distrust (ignore the AI's suggestions when it is correct), which may negate the benefits of increased trust, leading to a "trust-performance paradox". The researchers call for future research to focus on how to design strategies to ensure that explanations foster appropriate trust to improve the efficiency of human-robot collaboration.
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- The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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马纳瓦喷射机直播 thesis
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interview Translation outcome The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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interview Translation outcome The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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The researchers found that although it is generally believed that the interpretability of the model can help improve the user's trust in the AI system, in the actual experiment, the global and local interpretability does not lead to a stable and significant trust improvement. Conversely, feedback (i.e., the output of the results) has a more significant effect on increasing user trust in the AI. However, this increased trust does not directly translate into an equivalent improvement in performance.
- 马纳瓦喷射机 interview Translation outcome The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study -
interview Translation outcome The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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interview Translation outcome The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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interview Translation outcome The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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interview Translation outcome The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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NBA常规赛 黄蜂91-115尼克斯 录像集锦视频
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MIT Licensed | Copyright © 2024-present Zhirong Xue's knowledge base
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NBA常规赛 老鹰105-128骑士 录像集锦视频
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Q1: How does feedback affect users' trust in AI?
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NBA常规赛 76人138-94湖人 录像集锦视频
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NBA常规赛 开拓者114-110步行者 录像集锦视频
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NBA常规赛 奇才126-107活塞 录像集锦视频
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A3: The study found that the feedback of the results can improve the accuracy of the user's predictions (reducing the absolute error), thereby improving the performance of working with AI. However, interpretability does not have as much impact on user task performance as it does on trust. This may mean that we should pay more attention to how to effectively use feedback mechanisms to improve the usefulness and effectiveness of AI-assisted decision-making.
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NBA常规赛 掘金113-104快船 录像集锦视频
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NBA常规赛 开拓者102-108雄鹿 录像集锦视频
篮球录像 thesis
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The researchers conducted two sets of experiments ("Predict the speed-dating outcomes and get up to $6 (takes less than 20 min)" and a similar Prolific experiment) in which participants interacted with the AI system in a task of predicting the outcome of a dating to explore the impact of model explainability and feedback on user trust in AI and prediction accuracy. The results show that although explainability (e.g., global and local interpretation) does not significantly improve trust, feedback can most consistently and significantly improve behavioral trust. However, increased trust does not necessarily lead to the same level of performance gains, i.e., there is a "trust-performance paradox". Exploratory analysis reveals the mechanisms behind this phenomenon.
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篮球集锦 thesis
篮球新闻 thesis
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篮网半场反超掘金暂时领先60-58 -
A1: According to research, feedback (e.g. result output) is a key factor influencing user trust. It is the most significant and reliable way to increase user trust in AI behavior. -
快船主将伦纳德因臀部伤势告别赛场