Publication
Exploring the Collective Categorization of Biological Information for Biomimetic Design
Abstract
Categorizing biological information can be subjective and ambiguous, which poses challenges for indexing potentially useful biological information for design. Therefore, we explored collective categorization to study the categorization task. After gathering 163 examples of biological transformation, we asked four participants to independently categorize the examples using self-selected approaches. A computational algorithm was used to quantify the relatedness between the groups that each participant created. The results confirmed that participants had different perspectives in interpreting and categorizing biological information. However, the collective categorization method could reveal meaningful semantics in biological information such as hierarchical, synonymous, or causal relations. The relations discovered could lead to developing formal representations or learning unique patterns in biological phenomena.
Download publicationRelated Resources
See what’s new.
2025
Recently Published by Autodesk ResearchersA selection of papers published recently by Autodesk Researchers…
2019
An Empirical Study of how Socio-Spatial Formations are influenced by Interior Elements and Displays in an Office ContextThe design of a workplace can have a profound impact on the…
2018
Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer GraphsDuring asynchronous collaborative analysis, handoff of partial…
1995
Depiction of Fire and Other Gaseous Phenomena Using Diffusion ProcessesDeveloping a visually convincing model of fire, smoke, and other…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us