Stop questioning me!: towards optimizing user involvement during data collection on mobile devices

Nicholas Micallef, Michael Just, Lynne Baillie, Hilmi Gunes Kayacik

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

    Abstract

    Current methods of behavioral data collection from mobile devices either require significant involvement from participants to verify the 'ground truth' of the data, or approximations that involve post-experiment comparisons to seed data. In this paper we argue that user involvement can be gracefully reduced by performing more intelligent seed comparisons. We aim to reduce the participant involvement to the 'most interesting' temporal slots, both during the experiment and in post-experiment verification. We carried out a 2 week study with 4 users, consisting of an initial opportunistic gathering of mobile sensor data. Our findings suggest that by using such a method we can significantly reduce user involvement.
    Original languageEnglish
    Title of host publicationMobileHCI 2013
    Subtitle of host publicationProceedings of the 15th international conference on Human-computer interaction with mobile devices and services
    PublisherACM
    Pages588-593
    Number of pages6
    ISBN (Print)9781450322737
    DOIs
    Publication statusPublished - 27 Aug 2013

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    Keywords

    • mobile devices
    • data collection methods
    • mobile sensor data
    • user involvement

    Cite this

    Micallef, N., Just, M., Baillie, L., & Kayacik, H. G. (2013). Stop questioning me!: towards optimizing user involvement during data collection on mobile devices. In MobileHCI 2013: Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services (pp. 588-593). ACM. https://doi.org/10.1145/2493190.2494426