  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.
