TY - GEN
T1 - IntuModels
T2 - 13th Conference on Creativity and Cognition, C and C 2021
AU - Cho, Yen Ting
AU - Kuo, Yen Ling
AU - Yeh, Yen Ting
AU - Huang, Yen Yi
AU - Huang, Po Lun
N1 - Funding Information:
This work was made possible by the Ministry of Science and Technology, Taiwan (MOST 108-2221-E-006-062-MY2).
Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/6/22
Y1 - 2021/6/22
N2 - We present IntuModels, a machine-Assisted interactive modeling workflow to enable the novice to create 3D models. The workflow uses a phase-driven approach, including idea generation and selection, to stimulate creativity and assist users who are not familiar with generating design ideas and 3D modeling techniques. By transforming parametric models using continual input data controlled by users, IntuModels motivates users to intuitively generate a huge amount of 3D model options with a good diversity. For selecting from the created models, we design a balanced overview showing the models using clustering and staged tools to help the user view and understand the models correctly. We tested IntuModels with a sample of novices who were asked to create a wire-based jewelry model. Presented in thematic networks and quantitative charts, the results showed that the novice considered IntuModels to be intuitive to use and useful for creating models that exceeded their expectations for post-production.
AB - We present IntuModels, a machine-Assisted interactive modeling workflow to enable the novice to create 3D models. The workflow uses a phase-driven approach, including idea generation and selection, to stimulate creativity and assist users who are not familiar with generating design ideas and 3D modeling techniques. By transforming parametric models using continual input data controlled by users, IntuModels motivates users to intuitively generate a huge amount of 3D model options with a good diversity. For selecting from the created models, we design a balanced overview showing the models using clustering and staged tools to help the user view and understand the models correctly. We tested IntuModels with a sample of novices who were asked to create a wire-based jewelry model. Presented in thematic networks and quantitative charts, the results showed that the novice considered IntuModels to be intuitive to use and useful for creating models that exceeded their expectations for post-production.
UR - http://www.scopus.com/inward/record.url?scp=85109102898&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85109102898&partnerID=8YFLogxK
U2 - 10.1145/3450741.3465241
DO - 10.1145/3450741.3465241
M3 - Conference contribution
AN - SCOPUS:85109102898
T3 - ACM International Conference Proceeding Series
BT - C and C 2021 - Proceedings of the 13th Conference on Creativity and Cognition
PB - Association for Computing Machinery
Y2 - 22 June 2021 through 23 June 2021
ER -