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Integrating ubiquitous computing design into forestry information and communication technology: a case study in designing a forestry transportation system

Citation

Mirowski, L and Smith, A and Ghaffariyan, MR and Acuna, M, Integrating ubiquitous computing design into forestry information and communication technology: a case study in designing a forestry transportation system, Proceedings of the 2014 7th International Conference on Ubi-Media Computing and Workshops U-MEDIA 2014, 12-14 July 2014, Ulaanbaatar, Mongolia, pp. 144-149. ISBN 978-1-4799-4266-4 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 IEEE

DOI: doi:10.1109/U-MEDIA.2014.43

Abstract

The Australian forestry industry has historically constrained the role of Information and Communication Technology (ICT) to the office environment. This negates opportunities which exist when ICT are deployed along the supply chain to provide feedback to the strategic layers for optimisations that improve efficiencies and reduce costs. The wood supply chain is largely based in the "environment": forests, roads, or mills and there is much to be gained by integrating ICT within these areas. Our experience working within the Cooperative Research Centre for Forestry (CRCF) has been that ICT systems have been developed with limited forsight around their long term sustainability: lack of consideration around the system in its context of use, placing the onus on the user to learn to adapt their work practises for system usage. This paper proposes applying design approaches found within ubiquitous computing to avoid the above shortcomings. Here the Smart Device Environment Integration (DEI) Model is applied to conceptually explore the benefits of applying a systematic approach to forestry systems design. One outcome is the design process is made easier; another is a more complete understanding of system robustness and the limitation for system acceptance from user-centric points of view.

Item Details

Item Type:Refereed Conference Paper
Keywords:ubiquitous, logistics, forestry
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Pattern Recognition and Data Mining
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
Author:Mirowski, L (Mr Luke Mirowski)
Author:Smith, A (Mr Anthony Smith)
ID Code:98322
Year Published:2014
Deposited By:Computing and Information Systems
Deposited On:2015-02-11
Last Modified:2015-04-28
Downloads:0

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