Abstract

Studies in visual search have shown that feedback training can improve visual inspection performance (speed and accuracy), provided it is given in a timely and appropriate manner. Traditionally, performance feedback, i.e. information about the outcome, serves as the basis of most feedback training schemes. Other forms of feedback, which provide search strategy information, may have a role to play in improving inspection performance. This form of feedback is referred to as ‘cognitive feedback’. This paper describes the setup for collecting and analyzing eye movements using a 3D binocular eye tracker, which serves as a tool for providing cognitive feedback training. It also emphasizes the various technical issues related with eye tracker integration and further discusses the use of a new 3D-fixation recognition algorithm.

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