Investigating Semantically-enhanced Exploration of GAN Latent Space via a Digital Mood Board

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

5 Scopus Citations
View graph of relations

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationCHI EA '23
Subtitle of host publicationExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
EditorsAlbrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters
PublisherAssociation for Computing Machinery
ISBN (print)978-1-4503-9422-2
Publication statusPublished - Apr 2023

Conference

Title2023 CHI Conference on Human Factors in Computing Systems (CHI ’23)
LocationHybrid
PlaceGermany
CityHamburg
Period23 - 28 April 2023

Abstract

During past decades, Artificial Intelligence (AI) has been consistently used in Creativity Support Tools (CSTs). Recently, with the development of generative AI models, particularly Generative Adversarial Nets (GAN) in Computer Vision, it became possible that AI directly generates visual ideas. However, there were rarely any work in creativity research that harnessed the design ideas generated by such models directly for design space exploration. To that end we designed a digital mood board as a technology probe to support semantically-enhanced exploration of the StyleGAN latent space. We compared the mood board with traditional gallery display. Preliminary results showed that such design offered a more enjoyable and explicit way of exploring AI generated visual ideas, but gallery display was found to be more straightforward and less demanding.

© 2023 Copyright held by the owner/author(s).

Research Area(s)

  • creativity support, ideation, human-AI interaction, digital mood board

Bibliographic Note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

Investigating Semantically-enhanced Exploration of GAN Latent Space via a Digital Mood Board. / Wan, Qian; Lu, Zhicong.
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. ed. / Albrecht Schmidt; Kaisa Väänänen; Tesh Goyal; Per Ola Kristensson; Anicia Peters. Association for Computing Machinery, 2023.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review