Book chapter
VR Environment for the Study of Collocated Interaction Between Small UAVs and Humans
Advances in Human Factors in Robots and Unmanned Systems, pp.348-355
Advances in Intelligent Systems and Computing, Springer International Publishing
06/21/2017
DOI: 10.1007/978-3-319-60384-1_33
Abstract
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.
Details
- Title: Subtitle
- VR Environment for the Study of Collocated Interaction Between Small UAVs and Humans
- Creators
- Christopher Widdowson - Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, USAHyung-Jin Yoon - Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, USAVenanzio Cichella - Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, USARanxiao Frances Wang - Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, USANaira Hovakimyan - Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, USA
- Resource Type
- Book chapter
- Publication Details
- Advances in Human Factors in Robots and Unmanned Systems, pp.348-355
- Publisher
- Springer International Publishing; Cham
- Series
- Advances in Intelligent Systems and Computing
- DOI
- 10.1007/978-3-319-60384-1_33
- eISSN
- 2194-5365
- ISSN
- 2194-5357
- Language
- English
- Date published
- 06/21/2017
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984064580402771
Metrics
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