Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Participatory modeling seeks to support a group in reaching a shared understanding of a complex system by identifying commonalities between individual views and navigating their differences. Traditional workshops where participants and facilitators are physically present face several barriers: complex systems span multiple domains hence they may involve experts living in various locations or rarely available together, while other stakeholder groups may struggle to access a workshop for logistical reasons such as time commitment or transportation costs. Switching to a fully remote environment through desktop applications alleviates some of these concerns but loses a sense of rapport, which can impair the collective learning experience normally fostered by systems thinking workshops. To address these limitations, we present the design and code implementation of a new augmented reality environment that aims to support remote participants in collectively arriving at a shared causal map. Our collaborative modeling application leverages graph-drawing algorithms, multiple synchronized views, and custom network protocols.
Recommended Citation
Giabbanelli, Philippe; Shrestha, Anish; and Demay, Loic, "Design and Development of a Collaborative Augmented Reality Environment for Systems Science" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 5.
https://aisel.aisnet.org/hicss-57/cl/design_development_and_evaluation/5
Design and Development of a Collaborative Augmented Reality Environment for Systems Science
Hilton Hawaiian Village, Honolulu, Hawaii
Participatory modeling seeks to support a group in reaching a shared understanding of a complex system by identifying commonalities between individual views and navigating their differences. Traditional workshops where participants and facilitators are physically present face several barriers: complex systems span multiple domains hence they may involve experts living in various locations or rarely available together, while other stakeholder groups may struggle to access a workshop for logistical reasons such as time commitment or transportation costs. Switching to a fully remote environment through desktop applications alleviates some of these concerns but loses a sense of rapport, which can impair the collective learning experience normally fostered by systems thinking workshops. To address these limitations, we present the design and code implementation of a new augmented reality environment that aims to support remote participants in collectively arriving at a shared causal map. Our collaborative modeling application leverages graph-drawing algorithms, multiple synchronized views, and custom network protocols.
https://aisel.aisnet.org/hicss-57/cl/design_development_and_evaluation/5