TY - GEN
T1 - Evaluating multivariate visualizations as multi-objective decision aids
AU - Taieb-Maimon, Meirav
AU - Limonad, Lior
AU - Amid, David
AU - Boaz, David
AU - Anaby-Tavor, Ateret
PY - 2013/9/5
Y1 - 2013/9/5
N2 - When choosing a solution, decision makers are often required to account for multiple conflicting objectives. This is a situation that can result in a potentially huge number of candidate solutions. Despite the wide selection of multivariate visualizations that can potentially help decide between various candidates, no designated means exist to assess the effectiveness of these visualizations under different circumstances. As a first contribution in this work, we developed a method to evaluate different types of multivariate visualization. The method focuses on the visualization's ability to facilitate a better understanding of inter-objective trade-offs as a proxy to more sensible decision making. We used the method to evaluate two existing visualization aids: Parallel-Coordinates and an adaptation of Self Organizing Maps (SOM). Both visualizations were compared with tabular data presentation. Our results show that the first visualization is more effective than a plain tabular visualization for the purpose of multi-objective decision making.
AB - When choosing a solution, decision makers are often required to account for multiple conflicting objectives. This is a situation that can result in a potentially huge number of candidate solutions. Despite the wide selection of multivariate visualizations that can potentially help decide between various candidates, no designated means exist to assess the effectiveness of these visualizations under different circumstances. As a first contribution in this work, we developed a method to evaluate different types of multivariate visualization. The method focuses on the visualization's ability to facilitate a better understanding of inter-objective trade-offs as a proxy to more sensible decision making. We used the method to evaluate two existing visualization aids: Parallel-Coordinates and an adaptation of Self Organizing Maps (SOM). Both visualizations were compared with tabular data presentation. Our results show that the first visualization is more effective than a plain tabular visualization for the purpose of multi-objective decision making.
KW - Information Visualization
KW - Multi-criterion decision making
KW - Multivariate visualizations
KW - Usage experience evaluation
UR - http://www.scopus.com/inward/record.url?scp=84883303581&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40483-2_29
DO - 10.1007/978-3-642-40483-2_29
M3 - Conference contribution
AN - SCOPUS:84883303581
SN - 9783642404825
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 419
EP - 436
BT - Human-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings
T2 - 14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013
Y2 - 2 September 2013 through 6 September 2013
ER -