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沃尔特雷东达直播

04月07日 06:00 Q3: How does result feedback and model interpretability affect user task performance?

沃尔特雷东达

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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.

Interview outcome speech The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
03月23日 02:00 A2: Although it is generally believed that the explanatory nature of the model helps to improve user trust, the experimental results show that this enhancement is not significant and not as effective as feedback. In specific cases, such as areas of low expertise, some form of interpretation may result in only a modest increase in appropriate trust.

沃尔特雷东达U20

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雷森德U20

Interview outcome speech The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
03月10日 05:00 Interactive

沃尔特雷东达

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弗鲁米嫩塞

Interview outcome speech The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
Dissertation Summary The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study

沃尔特雷东达

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费古埃伦斯

Interview outcome speech The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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. The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study

隆德里纳

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沃尔特雷东达

Interview outcome speech The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
03月04日 05:10 Interactive

沃尔特雷东达

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诺瓦伊古亚科

Interview outcome speech The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study

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