TY - GEN
T1 - A template for data-driven personas
T2 - Thematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
AU - Salminen, Joni
AU - Guan, Kathleen
AU - Nielsen, Lene
AU - Jung, Soon gyo
AU - Jansen, Bernard J.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Following the proliferation of personified 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 fragmented, 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, as the most informative layout has more than 300% more information categories than the least informative layout. We also find that graphical complexity and information richness do not necessarily correlate. Furthermore, the chosen persona development method may carry over to the information 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 this is difficult due to the variety of the outputs of different methods as well as different information needs of the persona users.
AB - Following the proliferation of personified 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 fragmented, 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, as the most informative layout has more than 300% more information categories than the least informative layout. We also find that graphical complexity and information richness do not necessarily correlate. Furthermore, the chosen persona development method may carry over to the information 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 this is difficult due to the variety of the outputs of different methods as well as different information needs of the persona users.
KW - Algorithms
KW - Data-driven personas
KW - Information design
KW - Personas
UR - http://www.scopus.com/inward/record.url?scp=85088741119&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50020-7_8
DO - 10.1007/978-3-030-50020-7_8
M3 - Conference contribution
AN - SCOPUS:85088741119
SN - 9783030500191
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 125
EP - 144
BT - Human Interface and the Management of Information. Designing Information - Thematic Area, HIMI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer
Y2 - 19 July 2020 through 24 July 2020
ER -