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The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
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.
Personal insights
thesis
The Interpretability of Artificial Intelligence and the Impact of Outcome Feedback on Trust: A Comparative Study
完美世界
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.
动画改编自同名小说。他为修道而生，为应劫而至，他身化亿万血雨，洒落万古岁月，经历无数时空的熬炼，岁月长河的洗礼，他化万古，他化自在。看男主石昊如何一生极致辉煌，造就无尽传说。
完美世界
Q3: How does result feedback and model interpretability affect user task performance?
2021 动画,奇幻,冒险 更新: 2024-08-03 21:58:27
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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.
动画改编自同名小说。他为修道而生，为应劫而至，他身化亿万血雨，洒落万古岁月，经历无数时空的熬炼，岁月长河的洗礼，他化万古，他化自在。看男主石昊如何一生极致辉煌，造就无尽传说。
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Based on large language model generation, there may be a risk of errors.

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Based on large language model generation, there may be a risk of errors.
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Interview

Translation
异人君莫邪

Q1: How does feedback affect users' trust in AI?

异人君莫邪
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.

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.

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.
赛尔号之光明的救赎

Interview

赛尔号之光明的救赎
Based on large language model generation, there may be a risk of errors.

Q2: Does explainability necessarily enhance users' trust in AI?

Based on large language model generation, there may be a risk of errors.
Xue Zhirong's knowledge base

Q1: How does feedback affect users' trust in AI?

Xue Zhirong's knowledge base
熊熊帮帮团

Interview

熊熊帮帮团
熊出没之怪兽计划

Interview

熊出没之怪兽计划
熊出没之夏日连连看

Interview

熊出没之夏日连连看
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.

Interview

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.
熊出没之探险日记2

Interview

熊出没之探险日记2
Q3: How does result feedback and model interpretability affect user task performance?
2021 动画,奇幻,冒险
导演: 汪成果,张帅
主演: 锦鲤,刘晴,赵双,吴楚越,阎么么,宣晓鸣

动画改编自同名小说。他为修道而生，为应劫而至，他身化亿万血雨，洒落万古岁月，经历无数时空的熬炼，岁月长河的洗礼，他化万古，他化自在。看男主石昊如何一生极致辉煌，造就无尽传说。

English
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.
Xue Zhirong, Designer, Interaction Design, Human-Computer Interaction, Artificial Intelligence, Official Website, Blog, Creator, Author, Engineer, Paper, Product Design, Research, AI, HCI, Design, Learning, Knowledge Base, xuezhirong, UX, Design, Research, AI, HCI, Designer, Engineer, Author, Blog, Papers, Product Design, Study, Learning, User Experience
Xue Zhirong, Designer, Interaction Design, Human-Computer Interaction, Artificial Intelligence, Official Website, Blog, Creator, Author, Engineer, Paper, Product Design, Research, AI, HCI, Design, Learning, Knowledge Base, xuezhirong, UX, Design, Research, AI, HCI, Designer, Engineer, Author, Blog, Papers, Product Design, Study, Learning, User Experience
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