TY - GEN
T1 - User Study on a Multi-view Environment to Identify Differences Between Biological Taxonomies
AU - Figueroa-Montero, Manuel
AU - Sancho-Chavarría, Lilliana
N1 - Publisher Copyright:
© 2023, Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The classification of living organisms is essential to understand biodiversity and, therefore, to support its conservation. The taxonomic system classifies living organisms into hierarchically organized groups. Classification is not always a simple task, as even today taxonomists face the challenge that data are frequently revised, and species may be reclassified into other groups. Visualization of hierarchies, particularly biological taxonomies, has been a relevant area of research to support this challenge. Previous user studies determined that expert taxonomists preferred the edge-drawing method to visualize changes between two versions of a taxonomy, using the tool called Diaforá, which presents a single view. In this paper we propose a visualization that consists of using the coordinated multiple view (CMV) technique and focuses on displaying only the differences between two alternative versions of a biological taxonomy. The hypothesis is that the proposed visualization would provide a better cognitive approach to users, facilitating the identification of taxonomic changes. The work consisted first in designing other views and, through a user study, selecting one of them to be integrated into Diaforá to form a CMV system. Then, a second user study was carried out to contrast the original version of Diaforá with its extended version. Participants performed a series of tasks and we obtained measures of effectiveness, efficiency, trust rate and overall engagement rate. Results indicate that multiple coordinated views (CMV) improved users’ performance in identifying differences.
AB - The classification of living organisms is essential to understand biodiversity and, therefore, to support its conservation. The taxonomic system classifies living organisms into hierarchically organized groups. Classification is not always a simple task, as even today taxonomists face the challenge that data are frequently revised, and species may be reclassified into other groups. Visualization of hierarchies, particularly biological taxonomies, has been a relevant area of research to support this challenge. Previous user studies determined that expert taxonomists preferred the edge-drawing method to visualize changes between two versions of a taxonomy, using the tool called Diaforá, which presents a single view. In this paper we propose a visualization that consists of using the coordinated multiple view (CMV) technique and focuses on displaying only the differences between two alternative versions of a biological taxonomy. The hypothesis is that the proposed visualization would provide a better cognitive approach to users, facilitating the identification of taxonomic changes. The work consisted first in designing other views and, through a user study, selecting one of them to be integrated into Diaforá to form a CMV system. Then, a second user study was carried out to contrast the original version of Diaforá with its extended version. Participants performed a series of tasks and we obtained measures of effectiveness, efficiency, trust rate and overall engagement rate. Results indicate that multiple coordinated views (CMV) improved users’ performance in identifying differences.
KW - Coordinated multiple views
KW - Hierarchy comparison
KW - Human-computer interaction
KW - Information visualization
UR - http://www.scopus.com/inward/record.url?scp=85173529663&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-36049-7_23
DO - 10.1007/978-3-031-36049-7_23
M3 - Contribución a la conferencia
AN - SCOPUS:85173529663
SN - 9783031360480
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 300
EP - 319
BT - HCI in Business, Government and Organizations - 10th International Conference, HCIBGO 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
A2 - Nah, Fiona
A2 - Siau, Keng
PB - Springer Science and Business Media Deutschland GmbH
T2 - Proceedings of the 10h International Conference on HCI in Business, Government and Organizations, held as Part of the 24th International Conference, HCI International 2023
Y2 - 23 July 2023 through 28 July 2023
ER -