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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-140916 |
| Date | January 2017 |
| Creators | Stergiadis, Dimitris |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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