XAIR: A Framework of Explainable AI in Augmented Reality
| العنوان: | XAIR: A Framework of Explainable AI in Augmented Reality |
|---|---|
| المؤلفون: | Xuhai Xu, Anna Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kim, Hrvoje Benko |
| المصدر: | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. |
| بيانات النشر: | ACM, 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | H.5.2, FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, I.2.m, 68U35, Human-Computer Interaction (cs.HC), Machine Learning (cs.LG) |
| الوصف: | Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the role of XAI also becomes essential in AR because end-users will frequently interact with intelligent services. However, it is unclear how to design effective XAI experiences for AR. We propose XAIR, a design framework that addresses "when", "what", and "how" to provide explanations of AI output in AR. The framework was based on a multi-disciplinary literature review of XAI and HCI research, a large-scale survey probing 500+ end-users' preferences for AR-based explanations, and three workshops with 12 experts collecting their insights about XAI design in AR. XAIR's utility and effectiveness was verified via a study with 10 designers and another study with 12 end-users. XAIR can provide guidelines for designers, inspiring them to identify new design opportunities and achieve effective XAI designs in AR. Comment: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::277f09649f788cb7b76b7ef1eac50d72 https://doi.org/10.1145/3544548.3581500 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....277f09649f788cb7b76b7ef1eac50d72 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |