User Study on a Multi-view Environment to Identify Differences Between Biological Taxonomies

Manuel Figueroa-Montero, Lilliana Sancho-Chavarría

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaHCI in Business, Government and Organizations - 10th International Conference, HCIBGO 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
EditoresFiona Nah, Keng Siau
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas300-319
Número de páginas20
ISBN (versión impresa)9783031360480
DOI
EstadoPublicada - 2023
EventoProceedings of the 10h International Conference on HCI in Business, Government and Organizations, held as Part of the 24th International Conference, HCI International 2023 - Copenhagen, Dinamarca
Duración: 23 jul 202328 jul 2023

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen14039 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

ConferenciaProceedings of the 10h International Conference on HCI in Business, Government and Organizations, held as Part of the 24th International Conference, HCI International 2023
País/TerritorioDinamarca
CiudadCopenhagen
Período23/07/2328/07/23

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