Evaluate learner's acceptance of augmented reality based military decision making process training system

Chia Chi Mao, Chung Chong Sun, Chien Hsu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This study is based on the science and technology acceptance model, the results that augmented reality system import Army Command and Staff learning methods, the impact of officer's situational awareness (SA) and intention to use (ITU). To develop an ARB-MDMP system for creating and presenting 3D image-based augmented reality, it provides realistic troops patterns, terrain environment, and immediate battlefield Intelligence. In order to verify the feasibility of the system, this study analyzed by experimental and questionnaire to evaluate the learners effect learning in AR system of MDMP training exercise environments. The subjects were 40 officers receiving the training in Army Command and Staff College were the subjects of this research. As follows from this study, perceived usefulness and perceived ease of use had a comparable effect on the attitude toward using augmented reality environments. However, situational awareness played a dominant role in determining the actual intention to use them. Simultaneously, participants have a high degree of interest to engage in the process of system operation and acceptance in the future.

Original languageEnglish
Title of host publicationProceedings of 2017 5th International Conference on Information and Education Technology, ICIET 2017
PublisherAssociation for Computing Machinery
Pages73-77
Number of pages5
ISBN (Electronic)9781450348034
DOIs
Publication statusPublished - 2017 Jan 10
Event5th International Conference on Information and Education Technology, ICIET 2017 - Tokyo, Japan
Duration: 2017 Jan 102017 Jan 12

Publication series

NameACM International Conference Proceeding Series

Other

Other5th International Conference on Information and Education Technology, ICIET 2017
CountryJapan
CityTokyo
Period17-01-1017-01-12

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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