Evaluation of human-computer interface for optical see-through augmented reality system

Authors:
Qianying Wang;Dayuan Yan;Dongdong Weng;Zeyong Qi
Affiliations:
Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, School of Optics and Electronics, Beijing Institute of Technology, Beijing;Beijing Institute of Technology, Beijing;Beijing Institute of Technology, Beijing;Beijing Institute of Technology, Beijing
Venue:
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Year:
2011

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Abstract

Presenting effective augmenting information is helpful for users to perceive and interact in augmented reality systems. In this paper, a novel method for evaluating the human-computer interface in optical see-through augmented reality system is proposed. The main contribution presented in this paper is a user-based study that adopts the Radius Basis Function (RBF) neural network to model the relationship between the human-computer interface and user experience. Several important guidelines to design a successful human-computer interface in optical see-through AR are concluded by experiment. In addition, questionnaire results demonstrate the validity of the evaluation model.