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Why would you do that? predicting the uses and gratifications behind smartphone-usage behaviors

Published: 12 September 2016 Publication History

Abstract

While people often use smartphones to achieve specific goals, at other times they use them out of habit or to pass the time. Uses and Gratifications Theory explains that users' motivations for engaging with technology can be divided into instrumental and ritualistic purposes. Instrumental uses of technology are goal-directed and purposeful, while ritualistic uses are habitual and diversionary. In this paper, we provide an empirical account of the nature of instrumental vs. ritualistic use of smartphones based on data collected from 43 Android users over 2 weeks through logging application use and collecting ESM survey data about the purpose of use. We describe the phone-use behaviors users exhibit when seeking instrumental and ritualistic gratifications, and we develop a classification scheme for predicting ritualistic vs. instrumental use with an accuracy of 77% for a general model, increasing to more than 97% with a sliding confidence threshold. We discuss how such a model might be used to improve the experience of smartphone users in application areas such as recommender systems and social media.

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    cover image ACM Conferences
    UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
    September 2016
    1288 pages
    ISBN:9781450344616
    DOI:10.1145/2971648
    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 2016

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    Author Tags

    1. machine learning
    2. mobile phones
    3. smartphones
    4. uses and gratifications

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    UbiComp '16

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    UbiComp '16 Paper Acceptance Rate 101 of 389 submissions, 26%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

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    • (2025)Novel Profiles of Family Media Use: Latent Profile AnalysisJMIR Pediatrics and Parenting10.2196/592158(e59215-e59215)Online publication date: 6-Mar-2025
    • (2024)Understanding mobile use behavior, stigma and associated needs among female sex workers in Nepal: a qualitative studyFrontiers in Communication10.3389/fcomm.2024.12594639Online publication date: 1-Mar-2024
    • (2024)‹Smart School – oder doch lieber Old School?›MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung10.21240/mpaed/00/2024.01.11.X(34-68)Online publication date: 11-Jan-2024
    • (2024)“You Can Find a Part of my Life in Every Single App”: An Interview Study of What Makes Smartphone Applications Special to Their UsersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642820(1-16)Online publication date: 11-May-2024
    • (2024)MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642790(1-24)Online publication date: 11-May-2024
    • (2024)Individual Differences and Technology Affordances Combine to Predict Mobile Social Media Distraction Behaviors and ConsequencesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641950(1-18)Online publication date: 11-May-2024
    • (2024)Greater mobile device‐prompted phone pickups are associated with daily parent stressActa Paediatrica10.1111/apa.17260113:8(1868-1875)Online publication date: 2-May-2024
    • (2024)Distinguishing Between Effectual, Ineffectual, and Problematic Smartphone Use: A Comprehensive Review and Conceptual Pathways Model for Future ResearchComputers in Human Behavior Reports10.1016/j.chbr.2024.100424(100424)Online publication date: May-2024
    • (2024)Communication Preferences and Factors Predicting Smartphone Addiction Among Four Generations of Australians: Gender and Generational DifferencesJournal of Technology in Behavioral Science10.1007/s41347-024-00437-3Online publication date: 31-Aug-2024
    • (2023)A Mixed-Method Exploration into the Mobile Phone Rabbit HoleProceedings of the ACM on Human-Computer Interaction10.1145/36042417:MHCI(1-29)Online publication date: 13-Sep-2023
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