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    Merging the real with the virtual: crowd behaviour mining with virtual environments

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    Publication date
    2016
    Author
    Ch'ng, E.
    Gaffney, Vincent L.
    Garwood, P.
    Chapman, H.
    Bates, R.
    Neubauer, W.
    Keyword
    Crowdsourcing
    Crowd behaviour mining
    Virtual environments
    Landscape archaeology
    Digital heritage
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    The first recorded crowdsourcing activity was in 1714 [1], with intermittent public event occurrences up until the millennium when such activities become widespread, spanning multiple domains. Crowdsourcing, however, is relatively novel as a methodology within virtual environment studies, in archaeology, and within the heritage domains where this research is focused. The studies that are being conducted are few and far between in comparison to other areas. This paper aims to develop a recent concept in crowdsourcing work termed `crowd behaviour mining' [2] using virtual environments, and to develop a unique concept in crowdsourcing activities that can be applied beyond the case studies presented here and to other domains that involve human behaviour as independent variables. The case studies described here use data from experiments involving separate heritage projects and conducted during two Royal Society Summer Science Exhibitions, in 2012 and 2015 respectively. `Crowd Behaviour Mining' analysis demonstrated a capacity to inform research in respect of potential patterns and trends across space and time as well as preferences between demographic user groups and the influence of experimenters during the experiments.
    URI
    http://hdl.handle.net/10454/17708
    Version
    No full-text in the repository
    Citation
    Ch'ng E, Gaffney V, Garwood P et al (2016) Merging the real with the virtual: crowd behavior mining with virtual environments. In: 22nd International Conference on Virtual System & Multimedia (VSMM). 17-21 Oct 2016, Kuala Lumpur, Malaysia.
    Link to publisher’s version
    https://doi.org/10.1109/VSMM.2016.7863209
    Type
    Conference paper
    Collections
    Life Sciences Publications

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