A Template for Data-Driven Personas: Analyzing 31 Quantitatively Oriented Persona Profiles

Joni Salminen, Kathleen Guan, Lene Nielsen, Soon-Gyo Jung, Bernard J. Jansen

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

    Abstract

    Following the proliferation ofpersonified big data and data science algorithms, data-driven user personas (DDPs) are becoming more common in persona design.However, the DDP templates are seemingly diverse and frag-mented, prompting a need for a synthesis of the information included in these personas. Analyzing 31 templates for DDPs, we find that DDPs vary greatly by their information richness, asthe most informative layout hasmore than 300% more information categories than the least informative layout. We also find that graphical complexity and information richness do not necessarily correlate. Fur-thermore, the chosen persona development methodmay carry over to the infor-mation presentation, with quantitative data typically presented as scores, metrics, or tables and qualitative data as text-rich narratives. We did not find one “general template” for DDPs and defining thisis difficultdue to the variety of the outputs of different methods as well as differentinformation needs of the persona users.
    OriginalsprogEngelsk
    TitelHuman Interface and the Management of Information. Designing Information
    RedaktørerS. Yamamoto, H. Mori
    Vol/bind12184
    ForlagSpringer
    Publikationsdato19 jul. 2020
    Sider125-144
    ISBN (Elektronisk)978-3-030-50020-7
    DOI
    StatusUdgivet - 19 jul. 2020
    Begivenhed International Conference on Human-Computer Interaction - Copenhagen, Copenhagen, Danmark
    Varighed: 19 jul. 202024 nov. 2020
    Konferencens nummer: 2020
    https://link.springer.com/conference/hcii

    Konference

    Konference International Conference on Human-Computer Interaction
    Nummer2020
    LokationCopenhagen
    Land/OmrådeDanmark
    ByCopenhagen
    Periode19/07/202024/11/2020
    Internetadresse
    NavnLecture Notes in Computer Science
    Vol/bind12184
    ISSN0302-9743

    Emneord

    • Data-Driven User Personas
    • DDP Templates
    • Information Richness
    • Graphical Complexity
    • Persona Development Method

    Fingeraftryk

    Dyk ned i forskningsemnerne om 'A Template for Data-Driven Personas: Analyzing 31 Quantitatively Oriented Persona Profiles'. Sammen danner de et unikt fingeraftryk.

    Citationsformater