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A pervasive computing approach to mixed granularity indoor wayfinding

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dc.contributor.advisor Fernström, Mikael Feehely, Daryl 2014-09-24T11:44:37Z 2014-09-24T11:44:37Z 2014
dc.description peer-reviewed en_US
dc.description.abstract Mystification and discovery are key components in the enjoyment and human experience of wayfinding and fundamental to its success. This thesis extrapolates this theory by applying it to indoor wayfinding, using a mixed granularity wayfinding solution within a pervasive computing context. To exemplify this a smartphone application was deployed with a mixed granularity mapping interface which allows users to view a floor map of a building containing navigation nodes and pathways as well as the coarsely granular location of points of interest with which users can explore the environment. Users may also access finely granular wayfinding information by scanning QR codes placed within the environment to pinpoint their location. The smartphone application was deployed among first year undergraduate students in the University of Limerick over a two year time period. Presented by this thesis is a mixed method quantitative deductive and inductive approach which employs a grounded theory strategy in answer to the research question. This mixed method approach consists of three experiments (one of which is the smartphone application), two deductive and one inductive combined with an inductive data analysis phase. Four research objectives overlap these experiments as a part of the research approach. The results are presented and show that a pervasive computing approach to mixed granularity indoor wayfinding can be successfully exemplified. en_US
dc.language.iso eng en_US
dc.publisher University of Limerick en_US
dc.subject indoor wayfinding en_US
dc.subject smartphone application en_US
dc.subject computing approach en_US
dc.title A pervasive computing approach to mixed granularity indoor wayfinding en_US
dc.type info:eu-repo/semantics/masterThesis en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.supercollection ul_theses_dissertations en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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