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IoT and Wearable Devices-Enhanced Information Provision of AR Glasses: A Multi-Modal Analysis in Aviation Industry.

Authors :
Xuewen Han
Ting Li
Sean Xin Xu
Zherui Yang
Zhitao Yin
Kunpeng Zhang
Source :
Proceedings of the International Conference on Information Systems (ICIS); 2023, p1-9, 9p
Publication Year :
2023

Abstract

While Augmented Reality (AR) glasses are now instrumental in industries for delivering work-related information, the current one-size-fits-all information provision of AR glasses fails to cater to diverse workers’ needs and environmental conditions. We propose a framework for harnessing Internet of thing (IoT) and wearable technology to improve the adaptability and customization of information provision by AR. As a preliminary exploration, this short paper develops a multi-modal data processing system for work performance classification in the aviation industry. Using machine learning algorithms for multi-modal feature extraction and classifier construction, this framework provides a more objective and consistent evaluation of work performance compared to single-modal approaches. The proposed analytics architecture can provide valuable insights for other industries struggling to implement IoT and mixed reality. [ABSTRACT FROM AUTHOR]

Details

Language :
English
Database :
Complementary Index
Journal :
Proceedings of the International Conference on Information Systems (ICIS)
Publication Type :
Conference
Accession number :
179005138