Persona perception scale: Developing and validating an instrument for human-like representations of data

Joni Salminen, Haewoon Kwak, João M. Santos, Soon Gyo Jung, Jisun An, Bernard Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Personas are widely used in software development, system design, and HCI studies. Yet, their evaluation is difficult, and there are no recognized and validated measurement scales to date. To improve this condition, this research develops a persona perception scale based on reviewing relevant literature. We validate the scale through a pilot study with 19 participants, each evaluating three personas (57 evaluations in total). This is the first reported effort to systematically develop and validate an instrument for persona perception measurement. We find the constructs and items of the scale perform well, with factor loadings ranging between 0.60 and 0.95. Reliability, measured as Cronbach’s Alpha, is also satisfactory, encouraging us to pursue the use of the scale with a larger sample in future work.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
DOIs
Publication statusPublished - 20 Apr 2018
Event2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada
Duration: 21 Apr 201826 Apr 2018

Other

Other2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
CountryCanada
CityMontreal
Period21/4/1826/4/18

Fingerprint

Human computer interaction
Software engineering
Systems analysis

Keywords

  • Persona Evaluation
  • Persona Perception
  • Personas

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Salminen, J., Kwak, H., Santos, J. M., Jung, S. G., An, J., & Jansen, B. (2018). Persona perception scale: Developing and validating an instrument for human-like representations of data. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). [LBW075] Association for Computing Machinery. https://doi.org/10.1145/3170427.3188461

Persona perception scale : Developing and validating an instrument for human-like representations of data. / Salminen, Joni; Kwak, Haewoon; Santos, João M.; Jung, Soon Gyo; An, Jisun; Jansen, Bernard.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018. LBW075.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Salminen, J, Kwak, H, Santos, JM, Jung, SG, An, J & Jansen, B 2018, Persona perception scale: Developing and validating an instrument for human-like representations of data. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. vol. 2018-April, LBW075, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018, Montreal, Canada, 21/4/18. https://doi.org/10.1145/3170427.3188461
Salminen J, Kwak H, Santos JM, Jung SG, An J, Jansen B. Persona perception scale: Developing and validating an instrument for human-like representations of data. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April. Association for Computing Machinery. 2018. LBW075 https://doi.org/10.1145/3170427.3188461
Salminen, Joni ; Kwak, Haewoon ; Santos, João M. ; Jung, Soon Gyo ; An, Jisun ; Jansen, Bernard. / Persona perception scale : Developing and validating an instrument for human-like representations of data. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018.
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