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Persona modeling by crowdsourcing using the repertory grid technique
Linköping University, Department of Computer and Information Science.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Within user modeling there are various methods for representing targeted users. Persona for example is a user archetype which is given a face and name, and is carefully described in terms of goals, needs, and tasks (Blomquist & Arvola, 2002). Personas are widely used, but have been criticized for often not being based on empirical data (McGinn & Kotamraju, 2008). In this thesis I explore the use of the Repertory grid technique (RGT) in a user modeling context, an approach deriving from George Kelly’s (1955) Personal construct theory, which elicits both idiographic (i.e. the subjective dimensions of one individual) and nomothetic (i.e. a populations behaviours and traits) empirical data from individuals by analysing both qualitative and quantitative data. Furthermore, the possibilities and difficulties that the RGT offers in the context of user modeling are investigated. An online survey is crowdsourced (n = 28) containing five vignettes which are based on structured interviews and are used to elicit the participant’s personal constructs. The results are presented in the form of bertin plots and a biplot along with the Importance (the order of a constructs elicitation), and Dominance (the relative elicitation percentage of a construct) measures. The results suggest that the technique employed could be used in a number of user modelling processes. The weaknesses of RGT when done remotely in a user modelling context are also discussed. 

Place, publisher, year, edition, pages
2017. , p. 35
Keywords [en]
Persona, Repertory grid technique, user modeling
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-140916ISRN: LIU-IDA/KOGVET-A--17/011—SEOAI: oai:DiVA.org:liu-140916DiVA, id: diva2:1141716
Subject / course
Cognitive science
Presentation
2017-09-07, Alan Turing, Hus E, Linköping, 10:15 (English)
Supervisors
Examiners
Available from: 2017-09-19 Created: 2017-09-15 Last updated: 2018-01-13Bibliographically approved

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Human Computer Interaction

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf