Development of a Data Management Tool for Investigating Multivariate Space and Free Will Experiences (bibtex)
	title = {Development of a {Data} {Management} {Tool} for {Investigating} {Multivariate} {Space} and {Free} {Will} {Experiences}},
	volume = {30},
	url = {},
	abstract = {While achieving realism has been a main goal in making convincing virtual reality (VR) environments, just what constitutes realism is still a question situated firmly in the research domain. VR has become mature enough to be used in therapeutic applications such as clinical exposure therapy with some success. We now need detailed scientific investigations to better understand why VR works for these types of cases, and how it could work for other key applications such as training. Just as in real life, it appears that the factors will be complex and multi-variate, and this plethoric situation presents exceptional challenges to the VR researcher. We would not want to lessen VR’s ability to replicate real world conditions in order to more easily study it, however, for by doing so we may compromise the very qualities that comprise its effectiveness. What is really needed are more robust tools to instrument, organize, and visualize the complex data generated by measurements of participant experiences in a realistic virtual world. We describe here our first study in an ongoing program of effective virtual environment research, the types of data we are dealing with, and a specific tool we have been compelled to create that allows us some measure of control over this data. We call this tool Phloem, after the botanical channels that plants use to transport, support and store nutrients.},
	number = {3},
	journal = {Applied Psychophysiology and Biofeedback},
	author = {Morie, Jacquelyn and Iyer, Kumar and Luigi, Donat-Pierre and Williams, Josh and Dozois, Aimee and Rizzo, Albert},
	month = sep,
	year = {2005},
	keywords = {MedVR, Virtual Worlds},
	pages = {319--331}
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