Other publication
Persona perception scale: Developing and validating an instrument for human-like representations of data
Authors: Joni Salminen, Haewoon Kwak, João M. Santos, Soon-Gyo Jung, Jisun An, Bernard J. Jansen
Conference name: CHI Conference on Human Factors in Computing Systems
Publisher: Association for Computing Machinery
Publication year: 2018
Book title : CHI EA '18 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Journal name in source: Conference on Human Factors in Computing Systems - Proceedings
ISBN: 978-1-4503-5621-3
DOI: https://doi.org/10.1145/3170427.3188461
Web address : 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.
