Measurement practices in user experience (UX) research: a systematic quantitative literature review

User experience (UX) research relies heavily on survey scales to measure users' subjective experiences with technology. However, repeatedly raised concerns regarding the improper use of survey scales in UX research and adjacent fields call for a systematic review of current measurement practice...

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Main Authors: Sebastian A. C. Perrig, Lena Fanya Aeschbach, Nicolas Scharowski, Nick von Felten, Klaus Opwis, Florian Brühlmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Computer Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2024.1368860/full
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author Sebastian A. C. Perrig
Lena Fanya Aeschbach
Nicolas Scharowski
Nick von Felten
Klaus Opwis
Florian Brühlmann
author_facet Sebastian A. C. Perrig
Lena Fanya Aeschbach
Nicolas Scharowski
Nick von Felten
Klaus Opwis
Florian Brühlmann
author_sort Sebastian A. C. Perrig
collection DOAJ
description User experience (UX) research relies heavily on survey scales to measure users' subjective experiences with technology. However, repeatedly raised concerns regarding the improper use of survey scales in UX research and adjacent fields call for a systematic review of current measurement practices. Therefore, we conducted a systematic literature review, screening 153 papers from four years of the ACM Conference on Human Factors in Computing Systems proceedings (ACM CHI 2019 to 2022), of which 60 were eligible empirical studies using survey scales to study users' experiences. We identified 85 different scales and 172 distinct constructs measured. Most scales were used once (70.59%), and most constructs were measured only once (66.28%). The System Usability Scale was the most popular scale, followed by the User Experience Questionnaire, and the NASA Task Load Index. Regarding constructs, usability was the most frequently measured, followed by attractiveness, effort, and presence. Furthermore, results show that papers rarely contained complete rationales for scale selection (20.00%) and seldom provided all scale items used (30.00%). More than a third of all scales were adapted (34.19%), while only one-third of papers reported any scale quality investigation (36.67%). On the basis of our results, we highlight questionable measurement practices in UX research and suggest opportunities to improve scale use for UX-related constructs. Additionally, we provide six recommended steps to promote enhanced rigor in following best practices for scale-based UX research.
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spelling doaj.art-f0fc89d4b0ec4a8197af101c292a760c2024-03-04T04:52:55ZengFrontiers Media S.A.Frontiers in Computer Science2624-98982024-03-01610.3389/fcomp.2024.13688601368860Measurement practices in user experience (UX) research: a systematic quantitative literature reviewSebastian A. C. PerrigLena Fanya AeschbachNicolas ScharowskiNick von FeltenKlaus OpwisFlorian BrühlmannUser experience (UX) research relies heavily on survey scales to measure users' subjective experiences with technology. However, repeatedly raised concerns regarding the improper use of survey scales in UX research and adjacent fields call for a systematic review of current measurement practices. Therefore, we conducted a systematic literature review, screening 153 papers from four years of the ACM Conference on Human Factors in Computing Systems proceedings (ACM CHI 2019 to 2022), of which 60 were eligible empirical studies using survey scales to study users' experiences. We identified 85 different scales and 172 distinct constructs measured. Most scales were used once (70.59%), and most constructs were measured only once (66.28%). The System Usability Scale was the most popular scale, followed by the User Experience Questionnaire, and the NASA Task Load Index. Regarding constructs, usability was the most frequently measured, followed by attractiveness, effort, and presence. Furthermore, results show that papers rarely contained complete rationales for scale selection (20.00%) and seldom provided all scale items used (30.00%). More than a third of all scales were adapted (34.19%), while only one-third of papers reported any scale quality investigation (36.67%). On the basis of our results, we highlight questionable measurement practices in UX research and suggest opportunities to improve scale use for UX-related constructs. Additionally, we provide six recommended steps to promote enhanced rigor in following best practices for scale-based UX research.https://www.frontiersin.org/articles/10.3389/fcomp.2024.1368860/fullliterature reviewquestionnairessurvey scalesuser experience (UX)measurementconstructs
spellingShingle Sebastian A. C. Perrig
Lena Fanya Aeschbach
Nicolas Scharowski
Nick von Felten
Klaus Opwis
Florian Brühlmann
Measurement practices in user experience (UX) research: a systematic quantitative literature review
Frontiers in Computer Science
literature review
questionnaires
survey scales
user experience (UX)
measurement
constructs
title Measurement practices in user experience (UX) research: a systematic quantitative literature review
title_full Measurement practices in user experience (UX) research: a systematic quantitative literature review
title_fullStr Measurement practices in user experience (UX) research: a systematic quantitative literature review
title_full_unstemmed Measurement practices in user experience (UX) research: a systematic quantitative literature review
title_short Measurement practices in user experience (UX) research: a systematic quantitative literature review
title_sort measurement practices in user experience ux research a systematic quantitative literature review
topic literature review
questionnaires
survey scales
user experience (UX)
measurement
constructs
url https://www.frontiersin.org/articles/10.3389/fcomp.2024.1368860/full
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