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Hidden Layer Interaction: A Technique to Explore the Material of Generative AI

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

This pictorial describes the process of developing an interaction technique for directly engaging with the hidden layers of a generative AI model for image synthesis. First, we give some background to generative AI in HCI, arguing that current interaction techniques prevent us from directly interacting with the material of AI, foreclosing its use in design. Drawing on inspiration from the Computer Science field of feature visualization, we investigate the materiality of our prototype, a GAN model trained to generate fashion imagery, and show how Hidden Layer Interaction offers an alternative to standard prompting. In doing so, we illustrate how this change in approach leads to new forms of interaction with the internal semantics of generative AI, and demonstrate how one might use Hidden Layer Interaction to engage with AI as a material in design.
Original languageEnglish
Title of host publicationACM DIS '25: Proceedings of the 2025 ACM Designing Interactive Systems Conference
PublisherAssociation for Computing Machinery
Publication date2025
Pages1913-1927
ISBN (Print)979-8-4007-1485-6/2025/07
ISBN (Electronic)979-8-4007-1485-6/2025/07
Publication statusPublished - 2025
EventACM Conference on Designing Interactive Systems - Madeira, Portugal
Duration: 5 Jul 20259 Jul 2025
https://dl.acm.org/doi/proceedings/10.1145/3715336
https://dblp.org/db/conf/ACMdis/ACMdis2025.html

Conference

ConferenceACM Conference on Designing Interactive Systems
Country/TerritoryPortugal
CityMadeira
Period05/07/202509/07/2025
Internet address

Keywords

  • Generative AI
  • Interpretability
  • Interaction Design

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