Interactive Installation Design for Light Pollution Based on Data Narrative Theory
- DOI
- 10.2991/978-94-6463-815-8_69How to use a DOI?
- Keywords
- Light Pollution; Data Narrative Theory; Interactive Installations; Migratory Birds
- Abstract
With the gradual deepening of urbanization, light pollution has become increasingly severe, particularly causing significant impacts on birds that rely on natural light for migration. To better disseminate information about light pollution to the public, this installation constructs an interactive artwork themed around light pollution based on data storytelling theory. Utilizing light-sensitive sensors to collect data on changes in external light intensity as cues for the installation’s transformations, it dynamically presents the destructive consequences of light pollution on the physiological state of migratory birds. Adopting a nonlinear narrative structure, this installation aims to more powerfully stimulate public reflection on the issue of light pollution, integrating technology and art to foster the growth of environmental awareness and accelerate the pace of ecological sustainability.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xintong Dai PY - 2025 DA - 2025/08/13 TI - Interactive Installation Design for Light Pollution Based on Data Narrative Theory BT - Proceedings of the 2025 4th International Conference on Art Design and Digital Technology (ADDT 2025) PB - Atlantis Press SP - 625 EP - 631 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-815-8_69 DO - 10.2991/978-94-6463-815-8_69 ID - Dai2025 ER -