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      Challenges of Quantified-Self: Encouraging Self-Reported Data Logging During Recurrent Smartphone Usage

      1 , 2 , 2 , 2 , 1 , 2

      Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017) (HCI)

      digital make-believe, with delegates considering our expansive

      3 - 6 July 2017

      Smartphones, Quantified-self, Interaction, alert dialogs

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We argue that improved data entry can motivate Quantified-Self (QS) users to better engage with QS applications. To improve data entry, we investigate the notion of transforming active smartphone usage into data logging contributions through alert dialogs. We evaluate this assertion in a 4-week long deployment with 48 participants. We collect 17,906 data entries, where 68.3% of the entries are reported using the alert dialogs. We demonstrate that QS applications can benefit from alert dialogs: to increase data precision, frequency, and reduce the probability of forgetfulness in data logging. We investigate the impact of usage session type (e.g., sessions with different goals or durations) and the assigned reminder delay on frequency of data contributions. We conclude with insights gathered from our investigation, and the implications they have on future designs.

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          Most cited references 20

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          Year. Back to the app: the costs of mobile application interruptions

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            Year. Contextual Experience Sampling of Mobile Application Micro-Usage

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              Year. A Systematic Assessment of Smartphone Usage Gaps

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                Author and article information

                Contributors
                Conference
                July 2017
                July 2017
                : 1-7
                Affiliations
                Center for Ubiquitous Computing, University of Oulu
                The University of Melbourne
                Article
                10.14236/ewic/HCI2017.81
                © Visuri et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2017 – Digital Make-Believe. Sunderland, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)
                HCI
                31
                Sunderland, UK
                3 - 6 July 2017
                Electronic Workshops in Computing (eWiC)
                digital make-believe, with delegates considering our expansive
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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