Emotions and Colors in a Design Archiving System: Applying AI Technology for Museums

Hye Jung Kim, Hyun Kyung Lee

Research output: Contribution to journalArticlepeer-review


This study proposes a new museum archiving system that uses artificial intelligence (AI) technology. It suggests a new retrieval interface to extract emotional characteristics of the design work to enrich the archiving database. A virtual curation was organized to showcase the proposed archiving system. We focused on finding emotional signals with advanced technology because humans build trust and connect with each other through emotional cues. There are numerous characteristics of a single work of art, but we focused on the emotions that viewers can feel when they appreciate the art and share a connection with the artists who made the work. The research was focused on design works, and the metadata were designed to extract three dominant colors and match them with emotional adjectives to enrich the data on the paintings. The purpose of this study was to provide information for new techniques of color utilization that encapsulate emotional adjectives. Through this research, we developed an image retrieval system based on metadata and transformed intangible emotions of design work into data. With the emotion archiving system, we organized virtual curation, adding a Korean design history collection with emotional words.

Original languageEnglish
Article number2467
JournalApplied Sciences (Switzerland)
Issue number5
Publication statusPublished - 2022 Mar 1

Bibliographical note

Funding Information:
Funding: This research was funded by National Research Foundation of Korea: 2015R1A5A7037825 and Yonsei University Research Grant of 2020.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes


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