TY - GEN
T1 - Developing and validating the user burden scale
T2 - 34th Annual Conference on Human Factors in Computing Systems, CHI 2016
AU - Suh, Hyewon
AU - Shahriaree, Nina
AU - Hekler, Eric B.
AU - Kientz, Julie A.
N1 - Funding Information:
This research was reviewed and approved for exemption by University of Washington Human Subjects Division. Research was funded by National Science Foundation grants #0952623 and #1344613. We also thank Svetlana, Yarosh, Divya Addepalli, Chih-Wei Chen, Cynthia Bennett, and Nicole Tidwell for their assistance in this research. Finally, we would like to thank the reviewers and associate chairs for their very helpful and insightful reviews on this paper.
PY - 2016/5/7
Y1 - 2016/5/7
N2 - Computing systems that place a high level of burden on their users can have a negative affect on initial adoption, retention, and overall user experience. Through an iterative process, we have developed a model for user burden that consists of six constructs: 1) difficulty of use, 2) physical, 3) time and social, 4) mental and emotional, 5) privacy, and 6) financial. If researchers and practitioners can have an understanding of the overall level of burden systems may be having on the user, they can have a better sense of whether and where to target future design efforts that can reduce those burdens. To help assist with understanding and measuring user burden, we have also developed and validated a measure of user burden in computing systems called the User Burden Scale (UBS), which is a 20-item scale with 6 individual sub-scales representing each construct. This paper presents the process we followed to develop and validate this scale for use in evaluating user burden in computing systems. Results indicate that the User Burden Scale has good overall inter-item reliability, convergent validity with similar scales, and concurrent validity when compared to systems abandoned vs. those still in use.
AB - Computing systems that place a high level of burden on their users can have a negative affect on initial adoption, retention, and overall user experience. Through an iterative process, we have developed a model for user burden that consists of six constructs: 1) difficulty of use, 2) physical, 3) time and social, 4) mental and emotional, 5) privacy, and 6) financial. If researchers and practitioners can have an understanding of the overall level of burden systems may be having on the user, they can have a better sense of whether and where to target future design efforts that can reduce those burdens. To help assist with understanding and measuring user burden, we have also developed and validated a measure of user burden in computing systems called the User Burden Scale (UBS), which is a 20-item scale with 6 individual sub-scales representing each construct. This paper presents the process we followed to develop and validate this scale for use in evaluating user burden in computing systems. Results indicate that the User Burden Scale has good overall inter-item reliability, convergent validity with similar scales, and concurrent validity when compared to systems abandoned vs. those still in use.
KW - Evaluation
KW - Measuring usability
KW - Technology abandonment
KW - Usability
KW - User burden
KW - User experience
KW - Validated measures
UR - http://www.scopus.com/inward/record.url?scp=85012019852&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85012019852&partnerID=8YFLogxK
U2 - 10.1145/2858036.2858448
DO - 10.1145/2858036.2858448
M3 - Conference contribution
AN - SCOPUS:85012019852
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 3988
EP - 3999
BT - CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 7 May 2016 through 12 May 2016
ER -