The proliferation of unmanned aerial systems (i.e., drones) can provide great value to the future of search and rescue. However, with the increase adoption of such systems, issues around hybrid human-drone team coordination and planning will arise. To address these early challenges, we provide insights into the development of testbeds in the form of mixed reality games with simulated drones. This research presents an architecture to address challenges and opportunities in using drones for search and rescue. On this architecture, we develop a mixed reality game in which human players engage with the physical world and with gameplay that is purely virtual. We expect the architecture to be useful to a range of researchers an practitioners, forming the basis for investigating and training within this unique, new domain.
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Collaborative Mixed Reality Games
Collaborative mixed reality games enable shared social experiences, in which players interact with the physical and virtual game environment, and with other players in real-time. Recent advances in technology open a range of opportunities for designing new and innovative collaborative mixed reality games, but also raise questions around design, technical requirements, immersion, safety, and player experience. This workshop seeks to bring together researchers, designers, practitioners, and players to identify the most pressing challenges that need to be addressed in the next decade, discuss opportunities to overcome these challenges, and highlight lessons learned from past designs of such games. Participants will present their ideas, assemble and discuss a collection of related papers, outline a unifying research agenda, and engage in an outdoor game ideation and prototyping session. We anticipate that the CSCW community can contribute to designing the next generation of collaborative mixed reality games and technologies and to support the growth of research and development in this exciting and emerging area.
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- NSF-PAR ID:
- 10103934
- Date Published:
- Journal Name:
- Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
- Page Range / eLocation ID:
- 447 to 454
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3272973.3273013
