TY - GEN
T1 - VR environment for the study of collocated interaction between small UAVs and humans
AU - Widdowson, Christopher
AU - Yoon, Hyung Jin
AU - Cichella, Venanzio
AU - Wang, Ranxiao Frances
AU - Hovakimyan, Naira
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - Two issues that are crucial to the integration of flying robotic systems into human populated environments include: how humans perceive autonomous flying robots, and how to design and control flying robots to improve the level of comfort and perceived safety for collocated others. This work represents a comprehensive virtual reality test environment to explore scripted and unscripted interactions with flying robots. We employ a multimethod approach by incorporating behavioral measures, self-report questionnaires, and physiological data to characterize human arousal during a variety of predetermined and real-time scenarios in both indoor and outdoor environments. By combining complementary methodological techniques, we can converge on a data-driven model of social etiquette for flying robots; this model can then be reparametrized in terms of planning and control solutions to govern the robot’s behavior in a real-world context.
AB - Two issues that are crucial to the integration of flying robotic systems into human populated environments include: how humans perceive autonomous flying robots, and how to design and control flying robots to improve the level of comfort and perceived safety for collocated others. This work represents a comprehensive virtual reality test environment to explore scripted and unscripted interactions with flying robots. We employ a multimethod approach by incorporating behavioral measures, self-report questionnaires, and physiological data to characterize human arousal during a variety of predetermined and real-time scenarios in both indoor and outdoor environments. By combining complementary methodological techniques, we can converge on a data-driven model of social etiquette for flying robots; this model can then be reparametrized in terms of planning and control solutions to govern the robot’s behavior in a real-world context.
KW - Deep learning
KW - Electrodermal activity
KW - Human-robot interaction
KW - Quadrotor robot
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85041054303&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041054303&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60384-1_33
DO - 10.1007/978-3-319-60384-1_33
M3 - Conference contribution
AN - SCOPUS:85041054303
SN - 9783319603834
T3 - Advances in Intelligent Systems and Computing
SP - 348
EP - 355
BT - Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
A2 - Chen, Jessie
PB - Springer
T2 - AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017
Y2 - 17 July 2017 through 21 July 2017
ER -