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

doi:10.1145/3170427.3188461

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 Scopus citations

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 language	English (US)
Title of host publication	CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Engage with CHI
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450356206, 9781450356213
DOIs	https://doi.org/10.1145/3170427.3188461
State	Published - Apr 20 2018
Event	2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada Duration: Apr 21 2018 → Apr 26 2018

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	2018-April

Other

Other	2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
Country/Territory	Canada
City	Montreal
Period	4/21/18 → 4/26/18

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/3170427.3188461

Cite this

Salminen, J., Kwak, H., Santos, J. M., Jung, S. G., An, J., & Jansen, B. J. (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 Article LBW075 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3170427.3188461

Salminen, Joni ; Kwak, Haewoon ; Santos, João M. et al. / 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. Association for Computing Machinery, 2018. (Conference on Human Factors in Computing Systems - Proceedings).

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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.",

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",

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month = apr,

day = "20",

doi = "10.1145/3170427.3188461",

language = "English (US)",

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Salminen, J, Kwak, H, Santos, JM, Jung, SG, An, J & Jansen, BJ 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., LBW075, Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018, Montreal, Canada, 4/21/18. 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. et al.
CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. LBW075 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - An, Jisun

AU - Jansen, Bernard J.

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AB - 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.

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Salminen J, Kwak H, Santos JM, Jung SG, An J, Jansen BJ. 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. Association for Computing Machinery. 2018. LBW075. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3170427.3188461

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

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