BIROn - Birkbeck Institutional Research Online

    Conducting visitor studies using smartphone-based location sensing

    Moussouri, T. and Roussos, George (2015) Conducting visitor studies using smartphone-based location sensing. Journal on Computing and Cultural Heritage 8 (3), pp. 1-16. ISSN 1556-4673.

    [img]
    Preview
    Text
    biron.pdf - Author's Accepted Manuscript
    Available under License Creative Commons Attribution Non-commercial.

    Download (3MB) | Preview

    Abstract

    Visitor studies explore human experiences within museums, cultural heritage sites, and other informal learning settings to inform decisions. Smartphones offer novel opportunities for extending the depth and breadth of visitor studies while considerably reducing their cost and their demands on specialist human resources. By enabling the collection of significantly higher volumes of data, they also make possible the application of advanced machine-learning and visualization techniques, potentially leading to the discovery of new patterns and behaviors that cannot be captured by simple descriptive statistics. In this article, we present a principled approach to the use of smartphones for visitor studies, in particular proposing a structured methodology and associated methods that enable its effective use in this context. We discuss specific methodological considerations that have to be addressed for effective data collection, preprocessing, and analysis and identify the limitations in the applicability of these tools using family visits to the London Zoo as a case study. We conclude with a discussion of the wider opportunities afforded by the introduction of smartphones and related technologies and outline the steps toward establishing them as a standard tool for visitor studies.

    Metadata

    Item Type: Article
    Additional Information: © ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published at the link above
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: George Roussos
    Date Deposited: 08 Dec 2015 15:11
    Last Modified: 27 Jul 2019 09:38
    URI: http://eprints.bbk.ac.uk/id/eprint/13720

    Statistics

    Downloads
    Activity Overview
    350Downloads
    138Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item