This paper presents a design of agent-based intelligent HCI (iHCI) system using collaborative information for MR to improve user experience and information security based on context-aware computing. In order to implement target awareness system, we propose the use of non-parameter stochastic adaptive learning and a kernel learning strategy for improving the adaptivity of the recognition. The proposed design involves the use of a context-aware computing strategy to recognize patterns for simulating human awareness and processing of stereo pattern analysis. It provides a flexible customization method for scene creation and manipulation. It also enables several types of awareness related to the interactive target, user-experience, system performance, confidentiality, and agent identification by applying several strategies, such as context pattern analysis, scalable learning, data-aware confidential computing.
@article{arxiv.1911.02726,
title = {An Agent-Based Intelligent HCI Information System in Mixed Reality},
author = {Hamed Alqahtani and Charles Z. Liu and Manolya Kavakli-Thorne and Yuzhi Kang},
journal= {arXiv preprint arXiv:1911.02726},
year = {2019}
}