Dissertation Summary

换届大会|薪火相传，继续前进

广大华软小动物保护SAPA 2020-04-01 20:18

小动物保护协会

第4届换届大会

2019年6月6日下午2点整，在T305，第4届小动物保护协会换届大会正式开始啦！

换届大会

会长发言

因为指导老师和社联代表有事没来，所以会议流程直接跳到第3Part——会长讲话。

正会长和副会长都对协会进行了总结和展望。

部门总结

四个部门的部长依次上台总结这一年的工作。

留任竞选

现场的干事们都踊跃上台竞选。

颁奖仪式

给我们这一年来的优秀部长优秀干事颁发奖状~

合影留念

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

换届不是离别，而是传承

新的开始，新的希望

不忘的是初心，驶向的是未来

新的一年，我们相信

小动物保护协会

一定会越来越好的！

············

还有！先别走!小编还没有说完呢！

第5届管理层名单

The content is made up of:

正会长：刘培宇

副会长：李涌鹏马婉媚

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

正部长：林小琮

Interactive

正部长：朱海彬

副部长：赖伽畅

新媒体宣传部

正部长：巫德源

副部长：邝文蔚

User experience

正部长：高堙腾

副部长：陈炜炜

Original address:

相关微文

文章点评

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.

发帖规范以及说明举报方式：To assess trust more accurately, the researchers used behavioral trust (WoA), a measure that takes into account the difference between the user's predictions and the AI's recommendations, and is independent of the model's accuracy. By comparing WoA under different conditions, researchers can analyze the relationship between trust and performance.

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. 本站主题以弘扬素食文化为主，内容仅供参考学习交流并不代表本站观念，如无意中侵犯您的权益（包括/图片/视频/个人隐私等信息）请来信告知，本站收到信息会立即屏蔽或删除关于您的主题内容，联系方式：To assess trust more accurately, the researchers used behavioral trust (WoA), a measure that takes into account the difference between the user's predictions and the AI's recommendations, and is independent of the model's accuracy. By comparing WoA under different conditions, researchers can analyze the relationship between trust and performance.

换届大会|薪火相传，继续前进

相关微文

最近更新