Analytic review of usability evaluation in ISMAR |
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| Authors: | Zhen Bai Alan F Blackwell |
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| Affiliation: | 1. Department of Chemical Engineering, Delft University of Technology, Julianalaan 136, Delft, The Netherlands;2. Department of Process & Energy, Delft University of Technology, Mekelweg 2, Delft, The Netherlands;3. Shell Projects & Technology, Grasweg 31, Amsterdam, The Netherlands;1. Department of Mechanical engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia;2. Department of Petroleum Engineering, the University of Tulsa, Tulsa, USA;1. Universidade Estadual Paulista Júlio de Mesquita Filho, Faculdade de Filosofia e Ciências, Av. Hygino Muzzi Filho 737, Marília, São Paulo, Brazil;2. Universidade Braz Cubas, Av. Francisco Rodrigues Filho 1233, Mogi das Cruzes, São Paulo, Brazil;3. Universidade de Mogi das Cruzes, Núcleo de Pesquisas Tecnológicas, Av. Dr. Cândido Xavier de Almeida e Souza 200, Mogi das Cruzes, São Paulo, Brazil |
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| Abstract: | There has been a rapid increase in research evaluating usability of Augmented Reality (AR) systems in recent years. Although many different styles of evaluation are used, there is no clear consensus on the most relevant approaches. We report a review of papers published in International Symposium of Mixed and Augmented Reality (ISMAR) proceedings in the past decade, building on the previous work of Swan and Gabbard (2005). Firstly, we investigate the evaluation goal, measurement and method of ISMAR papers according to their usability research in four categories: performance, perception and cognition, collaboration and User Experience (UX). Secondly, we consider the balance of evaluation approaches with regard to empirical–analytical, quantitative–qualitative and participant demographics. Finally we identify potential emphases for usability study of AR systems in the future. These analyses provide a reference point for current evaluation techniques, trends and challenges, which benefit researchers intending to design, conduct and interpret usability evaluations for future AR systems. |
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