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Nov 18, 2007

Smart Phone Suggests Things to Do

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researchers at Palo Alto Research Center (PARC) have developed a mobile application, called Magitti, that uses a combination of cues - including the time of day, a person's location, her past behaviors, and even her text messages - to infer her interests. It then shows a helpful list of suggestions, including concerts, movies, bookstores, and restaurants

http://www.news.com/2300-1039_3-6210534-1.html

The role of psychophysiology in forensic assessments: Deception detection, ERPs, and virtual reality mock crime scenarios

The role of psychophysiology in forensic assessments: Deception detection, ERPs, and virtual reality mock crime scenarios.

Psychophysiology. 2007 Nov 7;

Authors: Mertens R, Allen JJ

Few data are available to address whether the use of ERP-based deception detection alternatives have sufficient validity for applied use. The present study was designed to replicate and extend J. P. Rosenfeld, M. Soskins, G. Bosh, and A. Ryan's (2004) study by utilizing a virtual reality crime scenario to determine whether ERP-based procedures, including brain fingerprinting, can be rendered less effective by participant manipulation by employing a virtual reality crime scenario and multiple countermeasures. Bayesian and bootstrapping analytic approaches were used to classify individuals as guilty or innocent. Guilty subjects were detected significantly less frequently compared to previous studies; countermeasures further reduced the overall hit rates. Innocent participants remained protected from being falsely accused. Reaction times did not prove suitable for accurate classification. Results suggested that guilty verdicts from ERP-based deception detection approaches are likely to be accurate, but that innocent (or indeterminate) verdicts yield no useful interpretation in an applied setting.

Virtual reality hardware and graphic display options for brain-machine interfaces

Virtual reality hardware and graphic display options for brain-machine interfaces.

J Neurosci Methods. 2007 Sep 29;

Authors: Marathe AR, Carey HL, Taylor DM

Virtual reality hardware and graphic displays are reviewed here as a development environment for brain-machine interfaces (BMIs). Two desktop stereoscopic monitors and one 2D monitor were compared in a visual depth discrimination task and in a 3D target-matching task where able-bodied individuals used actual hand movements to match a virtual hand to different target hands. Three graphic representations of the hand were compared: a plain sphere, a sphere attached to the fingertip of a realistic hand and arm, and a stylized pacman-like hand. Several subjects had great difficulty using either stereo monitor for depth perception when perspective size cues were removed. A mismatch in stereo and size cues generated inappropriate depth illusions. This phenomenon has implications for choosing target and virtual hand sizes in BMI experiments. Target-matching accuracy was about as good with the 2D monitor as with either 3D monitor. However, users achieved this accuracy by exploring the boundaries of the hand in the target with carefully controlled movements. This method of determining relative depth may not be possible in BMI experiments if movement control is more limited. Intuitive depth cues, such as including a virtual arm, can significantly improve depth perception accuracy with or without stereo viewing.