Large displays and tablets: Data exploration and its effects on data collection

Katerina Gorkovenko, Lars Lischke, Pawel W. Wozniak

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
    500 Downloads (Pure)

    Abstract

    Data is pivotal to open government initiatives, where citizens are often expected to be informed and actively participate. Yet, it can be difficult for people to understand the meaning of data. Presenting data to the public in an appropriate way may also increase citizen's willingness to participate in data collection. Here we present a study which explores how large screens can support socially relevant data exploration. In a between subject laboratory experiment, we analysed how pairs of participants explored data visualisations on a high-resolution display (LHRD) and a tablet. Our results indicate that LHRDs are less cognitively demanding, while tablets offer more shared control of the interface. Data exploration had limited effect on increasing comfort with sharing personal data but helped increase perceptions of trustworthiness within the data collection process. We observed that appropriately visualised data on either platform has significant potential to increase the public's understanding of large data sets.

    Original languageEnglish
    Title of host publicationNordiCHI 2018
    Subtitle of host publicationRevisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction
    PublisherAssociation for Computing Machinery (ACM)
    Pages664-675
    Number of pages12
    ISBN (Electronic)9781450364379
    DOIs
    Publication statusPublished - 29 Sep 2018
    Event10th Nordic Conference on Human-Computer Interaction, NordiCHI 2018 - Oslo, Norway
    Duration: 29 Sep 20183 Oct 2018

    Conference

    Conference10th Nordic Conference on Human-Computer Interaction, NordiCHI 2018
    Country/TerritoryNorway
    CityOslo
    Period29/09/183/10/18

    Keywords

    • Collaboration
    • Data collection
    • Data exploration
    • Data visualisations
    • LHRD
    • Participation
    • Spotfire
    • Tablet

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