Developing a Virtual Reality Wildfire Simulation to Analyze Human Communication and Interaction with a Robotic Swarm During Emergencies (bibtex)
by Patricia Chaffey, Ron Artstein, Kallirroi Georgila, Kimberly A. Pollard, Setareh Nasihati Gilani, David M. Krum, David Nelson, Kevin Huynh, Alesia Gainer, Seyed Hossein Alavi, Rhys Yahata, David Traum
Abstract:
Search and rescue missions involving robots face multiple challenges. The ratio of operators to robots is frequently one to one or higher, operators tasked with robots must contend with cognitive overload for long periods, and the robots themselves may be discomfiting to located survivors. To improve on the current state, we propose a swarm of robots equipped with natural language abilities and guided by a central virtual “spokesperson” able to access “plays”. The spokesperson may assist the operator with tasking the robots in their exploration of a zone, which allows the operator to maintain a safe distance. The use of multiple robots enables rescue personnel to cover a larger swath of ground, and the natural language component allows the robots to communicate with survivors located on site. This capability frees the operator to handle situations requiring personal attention, and overall can accelerate the location and assistance of survivors. In order to develop this system, we are creating a virtual reality simulation, in order to conduct a study and analysis of how humans communicate with these swarms of robots. The data collected from this experiment will inform how to best design emergency response swarm robots that are effectively able to communicate with the humans around them.
Reference:
Developing a Virtual Reality Wildfire Simulation to Analyze Human Communication and Interaction with a Robotic Swarm During Emergencies (Patricia Chaffey, Ron Artstein, Kallirroi Georgila, Kimberly A. Pollard, Setareh Nasihati Gilani, David M. Krum, David Nelson, Kevin Huynh, Alesia Gainer, Seyed Hossein Alavi, Rhys Yahata, David Traum), In Proceedings of the 9th Language and Technology Conference, LTC, 2019.
Bibtex Entry:
@inproceedings{chaffey_developing_2019,
	address = {Poznań, Poland},
	title = {Developing a {Virtual} {Reality} {Wildfire} {Simulation} to {Analyze} {Human} {Communication} and {Interaction} with a {Robotic} {Swarm} {During} {Emergencies}},
	url = {http://www-scf.usc.edu/~nasihati/publications/HLTCEM_2019.pdf},
	abstract = {Search and rescue missions involving robots face multiple challenges. The ratio of operators to robots is frequently one to one or higher, operators tasked with robots must contend with cognitive overload for long periods, and the robots themselves may be discomfiting to located survivors. To improve on the current state, we propose a swarm of robots equipped with natural language abilities and guided by a central virtual “spokesperson” able to access “plays”. The spokesperson may assist the operator with tasking the robots in their exploration of a zone, which allows the operator to maintain a safe distance. The use of multiple robots enables rescue personnel to cover a larger swath of ground, and the natural language component allows the robots to communicate with survivors located on site. This capability frees the operator to handle situations requiring personal attention, and overall can accelerate the location and assistance of survivors. In order to develop this system, we are creating a virtual reality simulation, in order to conduct a study and analysis of how humans communicate with these swarms of robots. The data collected from this experiment will inform how to best design emergency response swarm robots that are effectively able to communicate with the humans around them.},
	booktitle = {Proceedings of the 9th {Language} and {Technology} {Conference}},
	publisher = {LTC},
	author = {Chaffey, Patricia and Artstein, Ron and Georgila, Kallirroi and Pollard, Kimberly A. and Gilani, Setareh Nasihati and Krum, David M. and Nelson, David and Huynh, Kevin and Gainer, Alesia and Alavi, Seyed Hossein and Yahata, Rhys and Traum, David},
	month = may,
	year = {2019},
	keywords = {MxR, Virtual Humans, UARC, ARL, DoD}
}
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