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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 chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1913-1927

Publication milestones

  • Published - 2025

Publication status

Published - 2025

Publisher

Association for Computing Machinery, United States
979-8-4007-1485-6/2025/07

ISBN (Electronic)

979-8-4007-1485-6/2025/07

Publication IDs

  • Scopus: 105020660810

Host publication title

ACM DIS '25: Proceedings of the 2025 ACM Designing Interactive Systems Conference

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.

Publication metrics

PlumX

Citations
10
Captures
8

Related Event

Title

ACM Conference on Designing Interactive Systems

Event type

Conference

Degree of recognition

International event

Date

05/07/2025 - 09/07/2025

Location

MadeiraPortugal