Re.Dis.Cover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI

Fuente: arXiv
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Autores principales: Hung, Peng-Kai, Huang, Janet Yi-Ching, Wensveen, Stephan, Liang, Rung-Huei
Formato: Preprint
Publicado: 2024
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author Hung, Peng-Kai
Huang, Janet Yi-Ching
Wensveen, Stephan
Liang, Rung-Huei
author_facet Hung, Peng-Kai
Huang, Janet Yi-Ching
Wensveen, Stephan
Liang, Rung-Huei
contents The HCI field has demonstrated a growing interest in leveraging emerging technologies to enrich urban experiences. However, insufficient studies investigate the experience and design space of AI image technology (AIGT) applications for playful urban interaction, despite its widespread adoption. To explore this gap, we conducted an exploratory study involving four participants who wandered and photographed within Eindhoven Centre and interacted with an image-to-image AI. Preliminary findings present their observations, the effect of their familiarity with places, and how AIGT becomes an explorer's tool or co-speculator. We then highlight AIGT's capability of supporting playfulness, reimaginations, and rediscoveries of places through defamiliarizing and familiarizing cityscapes. Additionally, we propose the metaphor AIGT as a 'tourist' to discuss its opportunities for engaging explorations and risks of stereotyping places. Collectively, our research provides initial empirical insights and design considerations, inspiring future HCI endeavors for creating urban play with generative AI.
format Preprint
id arxiv_https___arxiv_org_abs_2406_06356
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Re.Dis.Cover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI
Hung, Peng-Kai
Huang, Janet Yi-Ching
Wensveen, Stephan
Liang, Rung-Huei
Human-Computer Interaction
Artificial Intelligence
The HCI field has demonstrated a growing interest in leveraging emerging technologies to enrich urban experiences. However, insufficient studies investigate the experience and design space of AI image technology (AIGT) applications for playful urban interaction, despite its widespread adoption. To explore this gap, we conducted an exploratory study involving four participants who wandered and photographed within Eindhoven Centre and interacted with an image-to-image AI. Preliminary findings present their observations, the effect of their familiarity with places, and how AIGT becomes an explorer's tool or co-speculator. We then highlight AIGT's capability of supporting playfulness, reimaginations, and rediscoveries of places through defamiliarizing and familiarizing cityscapes. Additionally, we propose the metaphor AIGT as a 'tourist' to discuss its opportunities for engaging explorations and risks of stereotyping places. Collectively, our research provides initial empirical insights and design considerations, inspiring future HCI endeavors for creating urban play with generative AI.
title Re.Dis.Cover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI
topic Human-Computer Interaction
Artificial Intelligence
url https://arxiv.org/abs/2406.06356