Hierarchical Structuring of the Impressions of 3D Shapes Targeting for Art and Non-art University Students

Saki Miyai, Kenji Katahira, Masashi Sugimoto, Noriko Nagata, Kunio Nikata, Keigo Kawasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The spread of digital fabrication technologies such as 3D printers has increased opportunities to utilize 3D data. A support system for users without specialized knowledge must model the relationships between impressions received from shapes and the shapes’ physical elements. Regarding the structure of impressions, previous works have hypothesized that a hierarchical structure with a lower layer closely related to physical parameters and an upper layer representing more abstract impressions. To extract the hierarchical structure of impressions for 3D shapes in this work, we conducted the Evaluation Grid Method to visualize an impression’s hierarchical structure. Ten art university students and 10 non-art university students participated in the experiment and provided impressions they had formed from the 3D shapes presented as photographs. We extracted the hierarchical structure, including the impressions used in previous works in the upper side. The impressions representing the state and the features of shapes were extracted in the lower side. By classifying the language expressions representing the state and features from aspects of the shape’s local features, the language expressions were classified into some similar viewpoints between participants’ groups. While the language expressions representing abstract impressions varied between groups, and the language expressions related to “activity” were extracted only from art students. These findings revealed that there is not only a generality in the viewpoint strongly related to physical quantity but also differences based on knowledge and experience among individuals with regard to the more abstract impression.

Original languageEnglish
Title of host publicationHCI International 2019 - Posters - 21st International Conference, HCII 2019, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages385-393
Number of pages9
ISBN (Print)9783030235215
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameCommunications in Computer and Information Science
Volume1032
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period19/7/2619/7/31

Keywords

  • Evaluation grid method
  • Hierarchical structure
  • Kansei

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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