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

Qianying Wang*, Dayuan Yan, Dongdong Weng, Zeyong Qi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of VRCAI 2011
Subtitle of host publicationACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry
Pages443-446
Number of pages4
DOIs
Publication statusPublished - 2011
Event10th International Conference on Virtual Reality Continuum and Its Applications in Industry, VRCAI'11 - Hong Kong, China
Duration: 11 Dec 201112 Dec 2011

Publication series

NameProceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry

Conference

Conference10th International Conference on Virtual Reality Continuum and Its Applications in Industry, VRCAI'11
Country/TerritoryChina
CityHong Kong
Period11/12/1112/12/11

Keywords

  • Augmented reality
  • Evaluation
  • Human-computer interface
  • Optical see-through head-mounted display

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