Paper Type
Short
Paper Number
PACIS2025-1417
Description
Digital twins, which are virtual representations of city infrastructure that use real-time data to optimize infrastructure, energy, and transportation, are revolutionizing how smart cities are governed. Citizens as active contributors of data, end users, and co-creators for digital twins are key to their success. Traditional frameworks such as TAM and UTAUT evaluate user acceptance, but they tend to ignore the dual function of digital twins as virtual communities integrating citizens’ lived experiences and technological tools. This paper aims to fill the gap by applying the theory of scenes to investigate the urban factors that influence residents' interaction with digital twins in smart cities in Australia, and the ways in which this interaction influences the perception of urban quality of life. With a more integrated approach, this research proposes a novel framework, and the findings can potentially improve citizen-driven urban governance and inform smart city studies.
Recommended Citation
Yang, Rongbin; Wibowo, Santoso; Mubarak, Sameera; Ab Rahman, Nurul Hidayah; and Cahyani, Niken Dwi Wahyu, "Exploring Citizens' Engagement with Urban Digital Twin Applications in Australia: A Theory of Scenes Perspective" (2025). PACIS 2025 Proceedings. 2.
https://aisel.aisnet.org/pacis2025/iot_smartcity/iot_smartcity/2
Exploring Citizens' Engagement with Urban Digital Twin Applications in Australia: A Theory of Scenes Perspective
Digital twins, which are virtual representations of city infrastructure that use real-time data to optimize infrastructure, energy, and transportation, are revolutionizing how smart cities are governed. Citizens as active contributors of data, end users, and co-creators for digital twins are key to their success. Traditional frameworks such as TAM and UTAUT evaluate user acceptance, but they tend to ignore the dual function of digital twins as virtual communities integrating citizens’ lived experiences and technological tools. This paper aims to fill the gap by applying the theory of scenes to investigate the urban factors that influence residents' interaction with digital twins in smart cities in Australia, and the ways in which this interaction influences the perception of urban quality of life. With a more integrated approach, this research proposes a novel framework, and the findings can potentially improve citizen-driven urban governance and inform smart city studies.
Comments
IoT