TY - GEN
T1 - Visualizing Competing Items over Time
AU - Sheidin, Julia
AU - Lanir, Joel
AU - Kuflik, Tsvi
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/6/6
Y1 - 2022/6/6
N2 - Choosing between two or more alternatives, ranging from relatively simple alternatives to more complex ones, is a common and important task. Visualization techniques may help users to examine differences between such alternatives. The potential contribution of an adequate visualization may increase as the comparison becomes more complicated, when the compared alternatives include multiple dimensions, and when they are examined over time. We propose a novel visualization technique designed to represent the temporal evolution of multiple dimensions between two competitors at a glance. We exemplify how the visualization supports the comparison of two events according to their changes in eight discrete emotions over time. We report on a study that compared our suggested visualization with two common visualization techniques. User performance and preferences were measured under a formal task taxonomy, using Twitter data of real-world events. The experimental results indicate the effectiveness of our visualization as demonstrated by task completion time and accuracy.
AB - Choosing between two or more alternatives, ranging from relatively simple alternatives to more complex ones, is a common and important task. Visualization techniques may help users to examine differences between such alternatives. The potential contribution of an adequate visualization may increase as the comparison becomes more complicated, when the compared alternatives include multiple dimensions, and when they are examined over time. We propose a novel visualization technique designed to represent the temporal evolution of multiple dimensions between two competitors at a glance. We exemplify how the visualization supports the comparison of two events according to their changes in eight discrete emotions over time. We report on a study that compared our suggested visualization with two common visualization techniques. User performance and preferences were measured under a formal task taxonomy, using Twitter data of real-world events. The experimental results indicate the effectiveness of our visualization as demonstrated by task completion time and accuracy.
KW - Evaluation
KW - Visualization techniques
UR - http://www.scopus.com/inward/record.url?scp=85132279596&partnerID=8YFLogxK
U2 - 10.1145/3531073.3534476
DO - 10.1145/3531073.3534476
M3 - Conference contribution
AN - SCOPUS:85132279596
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2022
A2 - Bottoni, Paolo
A2 - Panizzi, Emanuele
PB - Association for Computing Machinery
T2 - 16th International Conference on Advanced Visual Interfaces, AVI 2022
Y2 - 6 June 2022 through 10 June 2022
ER -