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) |
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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 | |
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 |
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Volume | 2018-April |
Other
Other | 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 |
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Country | Canada |
City | Montreal |
Period | 4/21/18 → 4/26/18 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
Cite this
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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 James.
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
TY - GEN
T1 - Persona perception scale
T2 - Developing and validating an instrument for human-like representations of data
AU - Salminen, Joni
AU - Kwak, Haewoon
AU - Santos, João M.
AU - Jung, Soon Gyo
AU - An, Jisun
AU - Jansen, Bernard James
PY - 2018/4/20
Y1 - 2018/4/20
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85052024659&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052024659&partnerID=8YFLogxK
U2 - 10.1145/3170427.3188461
DO - 10.1145/3170427.3188461
M3 - Conference contribution
AN - SCOPUS:85052024659
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
ER -