Memory Printer: Exploring Everyday Reminiscing by Combining Slow Design with Generative AI-based Image Creation

2026-03-13

AI Summary

This study addresses the limitations of current web-based generative AI tools in reconstructing undocumented memory scenes, which often suffer from low user engagement and limited controllability, thereby undermining user agency. To counter this, the authors propose a novel interaction system that integrates slow design principles with generative AI. Drawing on the metaphor of screen printing, the approach decomposes image generation into incremental steps, employing a physical wooden squeegee to enable embodied participation in the gradual revelation of images, culminating in tangible photographic outputs. Centered on temporality, embodied agency, and perceptible process, this work represents the first application of slow design to generative AI for memory reconstruction. User studies demonstrate that the method effectively evokes vivid recollections, enhances perceived control, and fosters creative exploration, while also surfacing critical challenges such as false memory formation, algorithmic bias, and privacy risks.

Technology Category

• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Intelligent Robots: Embodied AI
• Cognitive Modeling & Cognitive Systems: Computational Creativity

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

Generative Artificial Intelligence (GAI) offers new opportunities for reconstructing these unrecorded memory scenes, yet existing web-based tools undermine users' sense of agency through disengaging and unpredictable interactions. In this work, we advance three design arguments about how slow, tangible interaction can reshape human-AI relationships by making temporality, embodied agency, and generative processes experientially legible. We instantiate these arguments by presenting Memory Printer, a tangible design that combines silk-screen printing metaphors with text-to-image generation. The design features layered reconstruction that decomposes image generation into incremental steps, a physical wooden scraper enabling embodied control over image revelation, and built-in printing that produces tangible photos. We examine these arguments through a comparative study with 24 participants, exploring how participants engage with, interpret, and respond to this interaction stance. The study surfaces both opportunities -- such as vivid memory evocation, heightened sense of control, and creative exploration -- and critical tensions, including risks of false memory formation, algorithmic bias, and data privacy. Together, these findings articulate important boundaries for deploying generative AI in emotionally sensitive contexts.

Problem

• Generative AI
• memory reconstruction
• user agency
• slow design
• tangible interaction

Innovation

• slow design
• tangible interaction
• generative AI
• embodied agency
• memory reconstruction