@inproceedings{885fb29c0f604e9fb51c198daea84697,
title = "An AR-Enabled See-Through System for Vision Blind Areas",
abstract = "The manual assembly has a high proportion in industry. However, in many industrial scenarios, manual assembly in the Vision Blind Areas (VBAs) is time-consuming and challenging due to the lack of necessary visual information. This study presented a see-through Augmented Reality (AR) system to solve the problems during manual assembly in the vision blind area. This system enabled users to see the inner components of the VBAs cross the surface of mechanical products. The human hand and the mechanical part in a VBA were tracked and rendered in an AR HMD. We developed a prototype system and conducted a user study to evaluate the system usability, users{\textquoteright} performance and workload. The results indicated that this system was well integrated and easy to use. Moreover, participants worked with this system had a lower workload with improved performance.",
keywords = "Augmented reality, Hand tracking, Vision blind area",
author = "Shaohua Zhang and Weiping He and Shuxia Wang and Shuo Feng and Zhenghang Hou and Yupeng Hu",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 23rd International Conference on Human-Computer Interaction, HCII 2021 ; Conference date: 24-07-2021 Through 29-07-2021",
year = "2021",
doi = "10.1007/978-3-030-90176-9\_28",
language = "英语",
isbn = "9783030901752",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "206--213",
editor = "Constantine Stephanidis and Margherita Antona and Stavroula Ntoa",
booktitle = "HCI International 2021 - Late Breaking Posters - 23rd HCI International Conference, HCII 2021, Proceedings",
}