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Reflections on ESM in the Wild: the Case of a Mobile Head-Gesture Game

Published: 12 September 2018 Publication History

Abstract

The conduction of HCI studies in the wild brings new challenges to face, like the collection of qualitative data. In particular, one of the biggest concerns about the qualitative data is the external validity of the results obtained. We conducted an ESM based experiment to study the context of use of a mobile head-gesture game in natural settings. The obtained low rate of responses motivated us to think over the external validity of our results. To explain this behaviour, we also analysed the data collected from a technology usage study of the same head-gesture game published in a public app store. The strong correlation found between the obtained data from these two different studies encourages us to believe that the low rate of responses obtained is a consequence of the nature of our particular research question instead of a threat to the external validity of our results.

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    Interacción '18: Proceedings of the XIX International Conference on Human Computer Interaction
    September 2018
    232 pages
    ISBN:9781450364911
    DOI:10.1145/3233824
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 12 September 2018

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    Author Tags

    1. Experience Sampling Method (ESM)
    2. Mobile HCI
    3. head-gestures
    4. in the wild
    5. technology usage

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    • Short-paper
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    • Refereed limited

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    Interacción 2018

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    Interacción '18 Paper Acceptance Rate 47 of 73 submissions, 64%;
    Overall Acceptance Rate 109 of 163 submissions, 67%

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