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.
Originalsprog | Engelsk |
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Titel | Human Interface and the Management of Information. Designing Information |
Redaktører | S. Yamamoto, H. Mori |
Vol/bind | 12184 |
Forlag | Springer |
Publikationsdato | 19 jul. 2020 |
Sider | 125-144 |
ISBN (Elektronisk) | 978-3-030-50020-7 |
DOI | |
Status | Udgivet - 19 jul. 2020 |
Begivenhed | International Conference on Human-Computer Interaction - Copenhagen, Copenhagen, Danmark Varighed: 19 jul. 2020 → 24 nov. 2020 Konferencens nummer: 2020 https://link.springer.com/conference/hcii |
Konference
Konference | International Conference on Human-Computer Interaction |
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Nummer | 2020 |
Lokation | Copenhagen |
Land/Område | Danmark |
By | Copenhagen |
Periode | 19/07/2020 → 24/11/2020 |
Internetadresse |
Navn | Lecture Notes in Computer Science |
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Vol/bind | 12184 |
ISSN | 0302-9743 |
Emneord
- Data-Driven User Personas
- DDP Templates
- Information Richness
- Graphical Complexity
- Persona Development Method