{"title":"我可以问一个后续问题吗？了解对话对神经网络可解释性的益处","authors":"Tong Zhang, X. Jessie Yang, Boyang Li","doi":"10.1080/10447318.2024.2364986","DOIUrl":null,"url":null,"abstract":"Research in explainable AI (XAI) aims to provide insights into the decision-making process of opaque AI models. To date, most XAI methods offer one-off and static explanations, which cannot cater t...","PeriodicalId":54954,"journal":{"name":"International Journal of Human-Computer Interaction","volume":"23 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability\",\"authors\":\"Tong Zhang, X. Jessie Yang, Boyang Li\",\"doi\":\"10.1080/10447318.2024.2364986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research in explainable AI (XAI) aims to provide insights into the decision-making process of opaque AI models. To date, most XAI methods offer one-off and static explanations, which cannot cater t...\",\"PeriodicalId\":54954,\"journal\":{\"name\":\"International Journal of Human-Computer Interaction\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Human-Computer Interaction\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/10447318.2024.2364986\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human-Computer Interaction","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10447318.2024.2364986","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability
Research in explainable AI (XAI) aims to provide insights into the decision-making process of opaque AI models. To date, most XAI methods offer one-off and static explanations, which cannot cater t...
期刊介绍：
The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing.
It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.
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