Abstract
This study investigates the integration of Augmented Reality (AR) into community public art, focusing on both public participation experience and outcomes. A model based on Intrinsic Motivation (IM), Participation Efficacy (PE), and Positive Group Affect (PGA) is tested via SEM to identify key factors influencing engagement and inform design strategies. Hands-on community workshops validate the model’s applicability, while an AHP–TOPSIS framework evaluates and ranks three co-created design proposals. The research provides a public-centered, media-adaptive approach for supporting and enhancing public participation in community art.
Keywords
Community Public Art; Augmented Reality; Public Participation; Structural Equation Modeling
DOI
https://doi.org/10.21606/iasdr.2025.1151
Citation
Liu, Z., Yang, T.,and Ma, X.(2025) AR-Based Community Public Art Design: A Public Participation Perspective, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.1151
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 6 - Co-creation
AR-Based Community Public Art Design: A Public Participation Perspective
This study investigates the integration of Augmented Reality (AR) into community public art, focusing on both public participation experience and outcomes. A model based on Intrinsic Motivation (IM), Participation Efficacy (PE), and Positive Group Affect (PGA) is tested via SEM to identify key factors influencing engagement and inform design strategies. Hands-on community workshops validate the model’s applicability, while an AHP–TOPSIS framework evaluates and ranks three co-created design proposals. The research provides a public-centered, media-adaptive approach for supporting and enhancing public participation in community art.