Positive Technology Journal

The application of eye-tracking technology in the study of autism.

J Physiol. 2007 Apr 12;

Authors: Boraston ZL, Blakemore SJ

For over three decades, eye-tracking has been used to investigate looking behaviour in the normal population. Recent studies have extended its use to individuals with disorders on the autism spectrum. Such studies typically focus on the processing of socially salient stimuli. In this review, we discuss the potential for this technique to reveal the strategies adopted by individuals with high-functioning autism when processing social information. We suggest that eye-tracking techniques have the potential to offer insight into the downstream difficulties in everyday social interaction which such individuals experience.

From Networked Performance

Center for Global Studies (Academy of Sciences and Charles University), International Centre for Art and New Technologies (CIANT) and Prague Biennale 3 invite you to send proposals for Glocal & Outsiders, the conference on the interplay between art, culture and technology and issues of globalization and international cooperation (part of the Prague Biennale 3): Prague, July 13-14, 2007.

Read full post on NP 

Effects of meditation on frontal alpha-asymmetry in previously suicidal individuals.

Neuroreport. 2007 May 7;18(7):709-12

Authors: Barnhofer T, Duggan D, Crane C, Hepburn S, Fennell MJ, Williams JM

This study investigated the effects of a meditation-based treatment for preventing relapse to depression, mindfulness-based cognitive therapy (MBCT), on prefrontal alpha-asymmetry in resting electroencephalogram (EEG), a biological indicator of affective style. Twenty-two individuals with a previous history of suicidal depression were randomly assigned to either MBCT (N=10) or treatment-as-usual (TAU, N=12). Resting electroencephalogram was measured before and after an 8-week course of treatment. The TAU group showed a significant deterioration toward decreased relative left-frontal activation, indexing decreases in positive affective style, while there was no significant change in the MBCT group. The findings suggest that MBCT can help individuals at high risk for suicidal depression to retain a balanced pattern of baseline emotion-related brain activation.

Re-blogged from KurzweilAI.net

The University of Illinois at Chicago and the University of Central Florida plan to combine AI, advanced graphics and video game-type technology to enable creation of historical archives of people.

The UIC's Electronic Visualization Laboratory will build a state-of-the-art motion-capture studio to digitize the image and movements of real people, who will go on to live a virtual eternity in virtual reality. Knowledge will be archived into databases. Voices will be analyzed to create synthesized but natural-sounding "virtual" voices. Mannerisms will be studied and used in creating the 3-D avatars.

The team hopes to create virtual people who respond with a high degree of recognition to different voices and the various ways questions are phrased . 

ScientificAmerican.com, April 4, 2007

Researchers in Greece have developed a new system that converts video into virtual, touchable maps for the blind.

The software tracks each structure and determines its shape and location. That data is used to create a three-dimensional grid of force fields for each structure.

Read the full article on Sciam

Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy.

J Neural Eng. 2007 Jun;4(2):17-25

Authors: Kamousi B, Amini AN, He B

The goal of the present study is to employ the source imaging methods such as cortical current density estimation for the classification of left- and right-hand motor imagery tasks, which may be used for brain-computer interface (BCI) applications. The scalp recorded EEG was first preprocessed by surface Laplacian filtering, time-frequency filtering, noise normalization and independent component analysis. Then the cortical imaging technique was used to solve the EEG inverse problem. Cortical current density distributions of left and right trials were classified from each other by exploiting the concept of Von Neumann entropy. The proposed method was tested on three human subjects (180 trials each) and a maximum accuracy of 91.5% and an average accuracy of 88% were obtained. The present results confirm the hypothesis that source analysis methods may improve accuracy for classification of motor imagery tasks. The present promising results using source analysis for classification of motor imagery enhances our ability of performing source analysis from single trial EEG data recorded on the scalp, and may have applications to improved BCI systems.

Via Usability News 

Call for Papers: International Journal of Human-Computer Studies Special Issue on Mobility: Understanding Mobile Use and Users

Via Usability News 

This Special issue of the Journal of Computers in Human Behavior is a consequence of a UbiComp 06 workshop and looks at understanding crucial design issues of incoming scenarios of pervasive networked systems for elderly people

Via Usability News

From Networked Performance