Using mobile technology and augmented reality to increase data reliability for environmental assessment

Law, Ching Loon, Zhang, Jinglan, & Roe, Paul (2012) Using mobile technology and augmented reality to increase data reliability for environmental assessment. In Proceedings of the 24th Australian Computer-Human Interaction Conference, ACM, Melbourne, VIC, pp. 327-330.

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Abstract

Climate change and land use pressures are making environmental monitoring increasingly important. As environmental health is degrading at an alarming rate, ecologists have tried to tackle the problem by monitoring the composition and condition of environment. However, traditional monitoring methods using experts are manual and expensive; to address this issue government organisations designed a simpler and faster surrogate-based assessment technique for consultants, landholders and ordinary citizens. However, it remains complex, subjective and error prone. This makes collected data difficult to interpret and compare. In this paper we describe a work-in-progress mobile application designed to address these shortcomings through the use of augmented reality and multimedia smartphone technology.

Impact and interest:

1 citations in Scopus
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ID Code: 57564
Item Type: Conference Paper
Refereed: Yes
Keywords: Augmented reality, mobile computing, citizen science, environmental monitoring
DOI: 10.1145/2414536.2414589
ISBN: 9781450314381
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer Software not elsewhere classified (080399)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Mobile Technologies (080502)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 ACM
Deposited On: 25 Feb 2013 01:17
Last Modified: 26 Feb 2013 21:26

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