@inproceedings{8e63f37789a344e5ab2f879d0a7fd6c8,
title = "Persona perception scale: Developing and validating an instrument for human-like representations of data",
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{\textquoteright}s Alpha, is also satisfactory, encouraging us to pursue the use of the scale with a larger sample in future work.",
keywords = "Persona Evaluation, Persona Perception, Personas",
author = "Joni Salminen and Haewoon Kwak and Santos, {Jo{\~a}o M.} and Jung, {Soon Gyo} and Jisun An and Jansen, {Bernard J.}",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright is held by the owner/author(s).; 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 ; Conference date: 21-04-2018 Through 26-04-2018",
year = "2018",
month = apr,
day = "20",
doi = "10.1145/3170427.3188461",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",
address = "United States",
}