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

• URL: http://arxiv.org/abs/2406.06356v1
• Date: Mon, 10 Jun 2024 15:18:14 GMT
• Title: Re.Dis.Cover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI
• Authors: Peng-Kai Hung, Janet Yi-Ching Huang, Stephan Wensveen, Rung-Huei Liang,
• Abstract summary: We conduct 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 cityscapes.
• Score: 3.3623754851294256
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: 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.

Related papers

• Everyday AR through AI-in-the-Loop [16.65802031939239]
  This workshop brings together experts and practitioners from augmented reality (AR) and artificial intelligence (AI) to shape the future of AI-in-the-loop everyday AR experiences. We discuss a range of topics, including adaptive and context-aware AR, generative AR content creation, always-on AI assistants, AI-driven accessible design, and real-world-oriented AI agents. Our goal is to identify the opportunities and challenges in AI-enabled AR, focusing on creating novel AR experiences that seamlessly blend the digital and physical worlds.
  arXiv  Detail & Related papers  (2024-12-17T08:51:55Z)
• Diffusion-Based Visual Art Creation: A Survey and New Perspectives [51.522935314070416]
  This survey explores the emerging realm of diffusion-based visual art creation, examining its development from both artistic and technical perspectives. Our findings reveal how artistic requirements are transformed into technical challenges and highlight the design and application of diffusion-based methods within visual art creation. We aim to shed light on the mechanisms through which AI systems emulate and possibly, enhance human capacities in artistic perception and creativity.
  arXiv  Detail & Related papers  (2024-08-22T04:49:50Z)
• Artworks Reimagined: Exploring Human-AI Co-Creation through Body Prompting [3.7907687118593323]
  This article explores body prompting as input for image generation using generative artificial intelligence. We implement this concept in an interactive art installation, Artworks Reimagined, designed to transform artworks via body prompting. We identify three distinct patterns of embodied interaction with the generative AI and present insights into participants' experience of body prompting and AI co-creation.
  arXiv  Detail & Related papers  (2024-08-10T08:05:59Z)
• MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility [52.0930915607703]
  Recent advances in Robotics and Embodied AI make public urban spaces no longer exclusive to humans. Micromobility enabled by AI for short-distance travel in public urban spaces plays a crucial component in the future transportation system. We present MetaUrban, a compositional simulation platform for the AI-driven urban micromobility research.
  arXiv  Detail & Related papers  (2024-07-11T17:56:49Z)
• Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI [129.08019405056262]
  Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial Intelligence (AGI) MLMs andWMs have attracted significant attention due to their remarkable perception, interaction, and reasoning capabilities. In this survey, we give a comprehensive exploration of the latest advancements in Embodied AI.
  arXiv  Detail & Related papers  (2024-07-09T14:14:47Z)
• Designing and Evaluating Dialogue LLMs for Co-Creative Improvised Theatre [48.19823828240628]
  This study presents Large Language Models (LLMs) deployed in a month-long live show at the Edinburgh Festival Fringe. We explore the technical capabilities and constraints of on-the-spot multi-party dialogue. Our human-in-the-loop methodology underlines the challenges of these LLMs in generating context-relevant responses.
  arXiv  Detail & Related papers  (2024-05-11T23:19:42Z)
• AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images [70.42666704072964]
  We establish a large-scale AI generated omnidirectional image IQA database named AIGCOIQA2024. A subjective IQA experiment is conducted to assess human visual preferences from three perspectives. We conduct a benchmark experiment to evaluate the performance of state-of-the-art IQA models on our database.
  arXiv  Detail & Related papers  (2024-04-01T10:08:23Z)
• Grasping AI: experiential exercises for designers [8.95562850825636]
  We investigate techniques for exploring and reflecting on the interactional affordances, the unique relational possibilities, and the wider social implications of AI systems. We find that exercises around metaphors and enactments make questions of training and learning, privacy and consent, autonomy and agency more tangible.
  arXiv  Detail & Related papers  (2023-10-02T15:34:08Z)
• Understanding Place Identity with Generative AI [2.1441748927508506]
  generative AI models have the potential to capture the collective image of cities that can make them distinguishable. This study is among the first attempts to explore the capabilities of generative AI in understanding human perceptions of the built environment.
  arXiv  Detail & Related papers  (2023-06-07T02:32:45Z)
• The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies [28.81674106342742]
  We describe a Research-through-Design project which explores the shift in means and modes of image production via the creation and use of the Entoptic Field Camera. We use the term entoptic as a metaphor to investigate how the material interplay of data and models in AI technologies shapes human experiences of reality.
  arXiv  Detail & Related papers  (2023-01-23T17:03:54Z)
• Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery [12.351356101876616]
  This paper reviews the literature on the appearance and function of cities to illustrate how visual information has been used to understand them. A conceptual framework, Urban Visual Intelligence, is introduced to elaborate on how new image data sources and AI techniques are reshaping the way researchers perceive and measure cities.
  arXiv  Detail & Related papers  (2023-01-02T10:00:26Z)
• Empowering Local Communities Using Artificial Intelligence [70.17085406202368]
  It has become an important topic to explore the impact of AI on society from a people-centered perspective. Previous works in citizen science have identified methods of using AI to engage the public in research. This article discusses the challenges of applying AI in Community Citizen Science.
  arXiv  Detail & Related papers  (2021-10-05T12:51:11Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.