Selected Works

Lloréns, R., Noé, E., Colomer, C., & Alcañiz, M. (2015). Effectiveness, Usability, and Cost-Benefit of a Virtual Reality–Based Telerehabilitation Program for Balance Recovery After Stroke: A Randomized Controlled Trial. Archives Of Physical Medicine & Rehabilitation, 96(3), 418-425.e2. doi:10.1016/j.apmr.2014.10.019

Lloréns at al. provide an excellent and very useful example of how to analyze a VR training project, start-to-finish. While the exact topic being taught is very different from the one documented here, the instructional design methodology (including needs analysis and project management) is highly applicable.

Kullmann, J. (2013). Survey: damage assessment key to effective outage restoration. Electric Light & Power, (1). 51.

While not terribly well-designed research when considered as a scholarly paper, Kullman’s survey is one of the very few available that directly study post-storm damage assessment by electric utilities.

Mitnick, Steven Allen. (2013). Lines Down: How We Pay, Use, Value Grid Electricity Amid the Storm.  Washington, DC: Franklin Square Publishing

Although this book arrived too late to be used in the pilot phase of the current project, it is a valuable overview of the electrical grid considered as an economic proposition (rather than technical or regulatory). The chapter on storm outages (chapter 9) contains valuable insights for anyone involved in restoration or restoration planning.

O’Connor, E. A. & Domingo, J. (2017). A Practical Guide, with Theoretical Underpinnings, for Creating Effective Virtual Reality Learning Environments. Journal of Educational Technology Systems. 45(3), 343 – 364

A practical guide was precisely what the author needed to undertake this VR project, and the theoretical underpinnings were helpful in determining the way forward, given the multifarious possible paths such a project could take.

Yin, M. S., Haddawy, P., Suebnukarn, S., & Rhienmora, P. (2018). Automated outcome scoring in a virtual reality simulator for endodontic surgery. Computer Methods And Programs In Biomedicine, 15353-59. doi:10.1016/j.cmpb.2017.10.001

The specifics of Yin et al.’s simulator are very different from the current author’s, but the principles of automated evaluation they review are highly applicable.