Considerations for Use of Aerial Views In Remote Unmanned Ground Vehicle Operations

Chadwick, Roger A.

doi:10.1037/e578112012-013

Cited by 10 publications

(17 citation statements)

References 0 publications

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“…There may be a benefit to using two or more aids in order to cross-check information. For example, in some instances, additional information from an unmanned aerial vehicle (UAV) supports SA of human operators working with ground robots (Chadwick, 2008). In environments where UAV operation is not possible, multiple ground robots could be used.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Attitudes Toward Unreliable Diagnostic Aiding in Dangerous Task Environments

Faerevaag

Nguyen

Jiménez

et al. 2017

Proceedings of the Human Factors and Ergonomics Society Annual

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It has often been cited that diagnostic aiding technology which falls below 70% reliability is not useful, and will harm overall task performance. This reliability threshold is based on tasks humans are capable of performing unaided. However, future robotic teammates may be capable of acting and gathering information and helping build situation awareness in environments that are too difficult or too dangerous for humans. However, if initial reliability is low, there may be resistance to introducing the technology. The current study investigates the perception of reliable and unreliable diagnostic aiding automation (robots) in both benign and dangerous environments. Undergraduate participants read a description of an autonomous robotic teammate working in either benign or dangerous environments, sending diagnostic aiding information to a human teammate with either high (80%) or low (50%) reliability. Participants in the dangerous environment conditions reported more positive overall perception of, and a stronger willingness to work with a robot, even at very low (50%) reliability. Results suggest that in dangerous environmental conditions, people may perceive unreliable robots more positively and be more willing to work with them. Implications for the introduction of new diagnostic aiding technologies, as well as strategies to support SA under conditions of unreliable diagnostic aiding are discussed.

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Section: Limitations and Future Researchmentioning

confidence: 99%

Attitudes Toward Unreliable Diagnostic Aiding in Dangerous Task Environments

Faerevaag

Nguyen

Jiménez

et al. 2017

Proceedings of the Human Factors and Ergonomics Society Annual

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“…In Experiment 1, we wanted to determine whether the cornering law is applicable with a UGV in a physical environment using a topdown third-person perspective. In real-world tasks, the overhead top-down viewing angle could be provided by either another platform (such as an aerial vehicle) or functional environmental cameras (such as surveillance cameras) to provide UGV pilots improved situational awareness (see Chadwick, 2008). Thus it is important to determine whether the cornering law is applicable from this viewpoint.…”

Section: Introductionmentioning

confidence: 99%

Cornering Law

2013

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“…Designers are then faced with the choice of optimal viewpoint parameters that maximize human performance. In addition, there is mounting evidence that aerial viewpoints, as might be obtained from an uninhabited aerial vehicle (UAV), provide useful information for a ground robotics controller searching for a target (Chadwick, 2008;Chen & Clark, 2008). There may be distinct advantages to providing views on terrain different from that obtained "through the windshield" of an ROV.…”

Section: Introductionmentioning

confidence: 99%