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 J. Jansen

CHI Conference on Human Factors in Computing Systems

PublisherAssociation for Computing Machinery

2018

CHI EA '18 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Conference on Human Factors in Computing Systems - Proceedings

978-1-4503-5621-3

DOIhttps://doi.org/10.1145/3170427.3188461

https://dl.acm.org/citation.cfm?doid=3170427.3188461



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.



Last updated on 2024-26-11 at 16:51