Supporting Opportunities for Context-Aware Social Matching: An Experience Sampling Study

Julia Mayer, Starr Roxanne Hiltz, Louise Barkhuus, Kaisa Väänänen, Quentin Jones

    Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

    23 Sitaatiot (Scopus)
    11 Lataukset (Pure)

    Abstrakti

    Mobile social matching systems aim to bring people together in the physical world by recommending people nearby to each other. Going beyond simple similarity and proximity matching mechanisms, we explore a proposed framework of relational, social and personal context as predictors of match opportunities to map out the design space of opportunistic social matching systems. We contribute insights gained from a study combining Experience Sampling Method (ESM) with 85 students of a U.S. university and interviews with 15 of these participants. A generalized linear mixed model analysis (n=1704) showed that personal context (mood and busyness) as well as sociability of others nearby are the strongest predictors of contextual match interest. Participant interviews suggest operationalizing relational context using social network rarity and discoverable rarity, and incorporating skill level and learning/teaching needs for activity partnering. Based on these findings we propose passive context-awareness for opportunistic social matching.
    AlkuperäiskieliEnglanti
    OtsikkoProceedings of the 2016 CHI Conference on Human Factors in Computing Systems
    JulkaisupaikkaNew York
    KustantajaACM
    Sivut2430-2441
    Sivumäärä12
    ISBN (elektroninen)978-1-4503-3362-7
    DOI - pysyväislinkit
    TilaJulkaistu - 2016
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS -
    Kesto: 1 tammik. 1900 → …

    Conference

    ConferenceACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
    Ajanjakso1/01/00 → …

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