Informing future design via large-scale research methods and big data

Rost, M., Morrison, A., Cramer, H. and Bentley, F. (2013) Informing future design via large-scale research methods and big data. In: MobileHCI '13: 15th International Conference On Human-Computer Interaction with Mobile Devices and Services, Munich, Germany, 27-30 Aug 2013, pp. 612-615. ISBN 9781450322737 (doi: 10.1145/2493190.2499469)

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With the launch of 'app stores' on several mobile platforms and the great uptake of smartphones among the general population, researchers have begun utilising these distribution channels to deploy research software to large numbers of users. Previous Research In The Large workshops have sought to establish base-line practice in this area. We have seen the use of app stores as being successful as a methodology for gathering large amounts of data, leading to design implications, but we have yet to explore the full potential for this data's use and interpretation. How is it possible to leverage the practices of large-scale research, beyond the current approaches, to more directly inform future designs? We propose that the time is right to re-energise discussions on large-scale research, looking further than the basic methodological issues and assessing the potential for informing the design of new mobile software.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Morrison, Dr Alistair and Rost, Dr Mattias
Authors: Rost, M., Morrison, A., Cramer, H., and Bentley, F.
College/School:College of Science and Engineering > School of Computing Science
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
566711A population approach to ubicomp system designMatthew ChalmersEngineering & Physical Sciences Research Council (EPSRC)EP/J007617/1COM - COMPUTING SCIENCE