ReDisCover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI
<|reference_start|>ReDisCover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI: 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.<|reference_end|>
@article{hung2024re.dis.cover,
    title={Re.Dis.Cover Place with Generative AI: Exploring the Experience and
  Design of City Wandering with Image-to-Image AI},
    author={Peng-Kai Hung and Janet Yi-Ching Huang and Stephan Wensveen and
  Rung-Huei Liang},
    journal={arXiv preprint arXiv:2406.06356},
    year={2024},
    doi={10.1145/3656156.3663691},
    archivePrefix={arXiv},
    eprint={2406.06356},
    primaryClass={cs.HC cs.AI}
}