The Experts below are selected from a list of 17310 Experts worldwide ranked by ideXlab platform

Randy H Katz - One of the best experts on this subject based on the ideXlab platform.

J T Doswell - One of the best experts on this subject based on the ideXlab platform.

  • Mobile Augmented Reality system architecture for ubiquitous e learning
    2006 Fourth IEEE International Workshop on Wireless Mobile and Ubiquitous Technology in Education (WMTE'06), 2006
    Co-Authors: J T Doswell, M.b. Blake, Jerome D Butchergreen
    Abstract:

    Mobile Augmented Reality Systems (MARS) e-learning has the potential to provide continuous, context-based, and autonomous instruction to human learners anytime, anyplace, and at any-pace. MARS e-learning enables mobility for the learner and hands free human computer interactivity. Advances to MARS based learning provides the advantage of a natural human-computer interface, flexible mobility, and context-aware instruction allowing learners to develop psychomotor skills while interacting with their natural environment with Augmented perceptual cues. These perceptual cues combining multi-modal animation, graphics, text, video, and voice along with empirical instructional techniques can elegantly orchestrate a Mobile instructional tool. The challenge, however, is building a MARS e-learning tool with capabilities for adapting to various learning environments while also considering the cultural, geographical, and other contexts about the learner. This paper discusses a novel system/software architecture, CAARS, for developing context-aware Mobile Augmented Reality instructional systems.

  • WMTE - Mobile Augmented Reality System Architecture for Ubiquitous e-Learning
    2006
    Co-Authors: J T Doswell, M.b. Blake, J. Butcher-green
    Abstract:

    Mobile Augmented Reality Systems (MARS) e-learning has the potential to provide continuous, context-based, and autonomous instruction to human learners anytime, anyplace, and at any-pace. MARS e-learning enables mobility for the learner and hands free human computer interactivity. Advances to MARS based learning provides the advantage of a natural human-computer interface, flexible mobility, and context-aware instruction allowing learners to develop psychomotor skills while interacting with their natural environment with Augmented perceptual cues. These perceptual cues combining multi-modal animation, graphics, text, video, and voice along with empirical instructional techniques can elegantly orchestrate a Mobile instructional tool. The challenge, however, is building a MARS e-learning tool with capabilities for adapting to various learning environments while also considering the cultural, geographical, and other contexts about the learner. This paper discusses a novel system/software architecture, CAARS, for developing context-aware Mobile Augmented Reality instructional systems.

  • context aware Mobile Augmented Reality architecture for lifelong learning
    International Conference on Advanced Learning Technologies, 2006
    Co-Authors: J T Doswell
    Abstract:

    Virtual Instructor enabled Mobile Augmented Reality Systems (MARS) have the potential to provide continuous and autonomous instruction to human learners anytime, anyplace, and at any-pace. MARS based learning provides the advantage of a natural human-computer interface, flexible mobility, and context-aware instruction allowing learners to interact with their natural environment with Augmented perceptual cues. These perceptual cues combining multi-modal animation, graphics, text, video, and voice along with empirical pedagogical techniques can elegantly orchestrate a Mobile instructional tool that facilitates life-long learning. The challenge, however, is building a Mobile instructional tool with capabilities for adapting to various learning environments ranging from traditional schools and outdoor learning to the workplace while also considering the cultural, geographical, and other contexts about the learner. This paper discusses a novel system/software architecture, CAARS, for developing context-aware Mobile Augmented Reality instructional systems.

  • ICALT - Context-Aware Mobile Augmented Reality Architecture for Lifelong Learning
    Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), 2006
    Co-Authors: J T Doswell
    Abstract:

    Virtual Instructor enabled Mobile Augmented Reality Systems (MARS) have the potential to provide continuous and autonomous instruction to human learners anytime, anyplace, and at any-pace. MARS based learning provides the advantage of a natural human-computer interface, flexible mobility, and context-aware instruction allowing learners to interact with their natural environment with Augmented perceptual cues. These perceptual cues combining multi-modal animation, graphics, text, video, and voice along with empirical pedagogical techniques can elegantly orchestrate a Mobile instructional tool that facilitates life-long learning. The challenge, however, is building a Mobile instructional tool with capabilities for adapting to various learning environments ranging from traditional schools and outdoor learning to the workplace while also considering the cultural, geographical, and other contexts about the learner. This paper discusses a novel system/software architecture, CAARS, for developing context-aware Mobile Augmented Reality instructional systems.

Kaifei Chen - One of the best experts on this subject based on the ideXlab platform.

Hyungsin Kim - One of the best experts on this subject based on the ideXlab platform.

David E Culler - One of the best experts on this subject based on the ideXlab platform.