Abstract

A closed-loop system that offers real-time assessment and manipulation of a user's affective and cognitive states is very useful in developing adaptive environments which respond in a rational and strategic fashion to real-time changes in user affect, cognition, and motivation. The goal is to progress the user from suboptimal cognitive and affective states toward an optimal state that enhances user performance. In order to achieve this, there is need for assessment of both 1) the optimal affective/cognitive state and 2) the observed user state. This paper presents approaches for assessing these two states. Arousal, an important dimension of affect, is focused upon because of its close relation to a user's cognitive performance, as indicated by the Yerkes-Dodson Law. Herein, we make use of a Virtual Reality Stroop Task (VRST) from the Virtual Reality Cognitive Performance Assessment Test (VRCPAT) to identify the …

Date

October 28, 2010

Authors

Dongrui Wu, Christopher G Courtney, Brent J Lance, Shrikanth S Narayanan, Michael E Dawson, Kelvin S Oie, Thomas D Parsons

Journal

IEEE Transactions on Affective Computing

Volume

1

Issue

2

Pages

109-118

Publisher

IEEE