Number of co-authors:13
Number of publications with 3 favourite co-authors:Lisa Fern:2Michal Rottem-Hovev:1Jacob Silbiger:1
R. Jay Shively's 3 most productive colleagues in number of publications:Nancy J. Cooke:20Tal Oron-Gilad:15Alex Kirlik:11
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R. Jay Shively
Publications by R. Jay Shively (bibliography)
Oron-Gilad, Tal, Porat, Talya, Fern, Lisa, Draper, Mark, Shively, R. Jay, Silbiger, Jacob and Rottem-Hovev, Michal (2011): Tools and Techniques for MOMU (Multiple Operator Multiple UAV) Environments; an Operational Perspective. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 86-90.
Multiple operators controlling multiple unmanned aerial vehicles (MOMU) can be an efficient operational setup for reconnaissance and surveillance missions. However, it dictates switching and coordination among operators. Efficient switching is time-critical and cognitively demanding, thus vitally affecting mission accomplishment. As such, tools and techniques (T&Ts) to facilitate switching and coordination among operators are required. Furthermore, development of metrics and test-scenarios becomes essential to evaluate, refine, and adjust T&Ts to the specifics of the operational environment. To illustrate, tools that were designed and developed for MOMU operations as part of a US-Israel collaborative research project are described and associated research findings are summarized.
© All rights reserved Oron-Gilad et al. and/or HFES
Fern, Lisa, Shively, R. Jay, Draper, Mark H., Cooke, Nancy J. and Miller, Chris A. (2011): Human-Automation Challenges for the Control of Unmanned Aerial Systems. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 424-428.
The continuing proliferation in the use of Unmanned Aerial Systems (UAS) in both civil and military operations has presented a multitude of human factors challenges from how to bridge the gap between the demand and availability of trained operators, to how to organize and present data in meaningful ways. Underlying many of these challenges is the issue of how automation capabilities can best be utilized to assist human operators manage increasing complexity and workload. The purpose of this discussion panel is to examine current research and perspectives on human automation interaction and how it relates to the future of UAS control. The panel is composed of five well-known researchers, all experts in the area of human-automation interaction. The range of topics that the panelists will discuss includes: how automation taxonomies can be applied to UAS design; opportunities to exploit automation capabilities in multi-vehicle contexts; current examples of automation research results, particularly in the area of multiple UAS control, and how they can be applied for future UAS; and how to design automation to maximize UAS mission effectiveness.
© All rights reserved Fern et al. and/or HFES
Shively, R. Jay (1995): Emergency (911) Dispatcher Decision Making: Ecological Display Development. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting 1995. pp. 506-510.
Emergency dispatchers must make complex life or death decisions under extreme time pressure. Using Ecological Task Analysis (ETA), a technique normally applied to aerospace human factors problems, a new display was designed that would better assist their decision making task. The major design constraints were identified to be the beat number and priority of incidents, available units, and the spatial relationship of the those units to the incident. Using these and other less formal factors, a GUI interface was designed and an evaluation was conducted at the Richmond, CA police dispatch center. The results suggest that the GUI display may reduce training times and increase situational awareness.
© All rights reserved Shively and/or Human Factors Society
Shively, R. Jay and Goodman, Allen D. (1994): Effects of Perceptual Augmentation of Visual Displays: Dissociation of Performance and Situational Awareness. In: Proceedings of the Human Factors and Ergonomics Society 38th Annual Meeting 1994. pp. 1271-1274.
It is intuitive that good performance is associated with, if not caused by, good situational awareness. There are, however, some situations in which these two concepts diverge. Some examples of this dissociation, such as auto-pilots, have been identified. However, it is also possible that these concepts diverge in a much more subtle manner. This research is focused on investigating those more subtle situations. Specifically, this research addresses the effects of perceptual display enhancement based upon Ecological Task Analysis (ETA) on performance and situational awareness. A perceptually augmented display was designed based upon ETA. Globally, performance advantages were found for the group with the enhanced display. Further, the findings demonstrated a dissociation of subtask performance and operator's knowledge of the system subtask. The mechanisms involved in this dissociation are related to the characteristics of the display augmentation that led to the increased performance. The level of processing, and the presence of feedback seem to play an important mediating role. These findings have important implications for both designers and researchers.
© All rights reserved Shively and Goodman and/or Human Factors Society
Keifer, Kellie S., Lanham, Jennifer S., Kirlik, Alex and Shively, R. Jay (1992): Star Cruiser: A Laboratory Task for Investigating Dynamic Decision Making. In: Proceedings of the Human Factors Society 36th Annual Meeting 1992. p. 1046.
Star Cruiser is a complex laboratory task that was designed to study decision making processes. It is intended to provide a rich perceptual environment in which to study the perceptual decision heuristics utilized by operators in similar tasks (Shively&Kirlik, 1991, Kirlik, Markert&Shively, 1990). In addition, a great deal of flexibility is offered by its script-style control. Researchers interested in such areas as workload, situational awareness, and skill development may also find it useful. It is presently being utilized in laboratories at NASA-Ames and Georgia Tech, where it was jointly developed, but the software is now available for distribution to other interested laboratories.
© All rights reserved Keifer et al. and/or Human Factors Society
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