Hand-held mobile augmented reality for collaborative problem solving: a case study with sorting

Shatte, Adrian, Holdsworth, Jason, and Lee, Ickjai (2014) Hand-held mobile augmented reality for collaborative problem solving: a case study with sorting. In: Proceedings of the 47th Annual Hawaii International Conference on System Sciences. pp. 91-99. From: HICSS-47: 47th Annual Hawaii International Conference on System Sciences, 6-9 January 2014, Waikoloa, HI, USA.

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Due to the advances in mobile technology, mobile augmented reality has been widely used for many disciplines. The ubiquity nature of mobile augmented reality supports a flexible, engaging and entertaining learning environment. However, most mobile devices are hand-held, and they require multitasking (mobile information processing and learning) that is a major hurdle for learning. This paper investigates the effects of multitasking of hand-held mobile augmented reality for problem solving. We design and implement a robust framework, and conduct a case study of sorting activities with two distinct groups: individual and collaborative pair settings. Experimental results demonstrate that 1) there is no significant difference between two groups in sorting without our proposed system, 2) there is a significant improvement with collaborative sorting with our proposed system. Test statistics confirm that our proposed system significantly improve collaborative pair sorting activities.

Item ID: 34460
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4799-2504-9
Keywords: augmented reality, collaborative problem solving, mobile AR, sorting, computer aided instruction, groupware, mobile computing, mobile handsets, multiprogramming, problem solving
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Date Deposited: 13 Aug 2014 00:46
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080101 Adaptive Agents and Intelligent Robotics @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 100%
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