TY - GEN
T1 - Fixation and confusion – investigating eye-tracking participants’ exposure to information in personas
AU - Salminen, Joni
AU - Jung, Soon Gyo
AU - Jansen, Bernard J.
AU - Nielsen, Lene
AU - An, Jisun
AU - Kwak, Haewoon
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - To more effectively convey relevant information to end users of persona profiles, we conducted a user study consisting of 29 participants engaging with three persona layout treatments. We were interested in confusion engendered by the treatments on the participants, and conducted a within-subjects study in the actual work environment, using eye-tracking and talk-aloud data collection. We coded the verbal data into classes of informativeness and confusion and correlated it with fixations and durations on the Areas of Interests recorded by the eyetracking device. We used various analysis techniques, including Mann-Whitney, regression, and Levenshtein distance, to investigate how confused users differed from non-confused users, what information of the personas caused confusion, and what were the predictors of confusion of end users of personas. We consolidate our various findings into a confusion ratio measure, which highlights in a succinct manner the most confusing elements of the personas. Findings show that inconsistencies among the informational elements of the persona generate the most confusion, especially with the elements of images and social media quotes. The research has implications for the design of personas and related information products, such as user profiling and customer segmentation.
AB - To more effectively convey relevant information to end users of persona profiles, we conducted a user study consisting of 29 participants engaging with three persona layout treatments. We were interested in confusion engendered by the treatments on the participants, and conducted a within-subjects study in the actual work environment, using eye-tracking and talk-aloud data collection. We coded the verbal data into classes of informativeness and confusion and correlated it with fixations and durations on the Areas of Interests recorded by the eyetracking device. We used various analysis techniques, including Mann-Whitney, regression, and Levenshtein distance, to investigate how confused users differed from non-confused users, what information of the personas caused confusion, and what were the predictors of confusion of end users of personas. We consolidate our various findings into a confusion ratio measure, which highlights in a succinct manner the most confusing elements of the personas. Findings show that inconsistencies among the informational elements of the persona generate the most confusion, especially with the elements of images and social media quotes. The research has implications for the design of personas and related information products, such as user profiling and customer segmentation.
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U2 - 10.1145/3176349.3176391
DO - 10.1145/3176349.3176391
M3 - Conference contribution
AN - SCOPUS:85050508182
T3 - CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval
SP - 110
EP - 119
BT - CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval
PB - Association for Computing Machinery, Inc
T2 - 3rd ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2018
Y2 - 11 March 2018 through 15 March 2018
ER -