From emotional suppression to regulated empathy : the changing face of control in the CES

Between the 1970s and the 1990s the level and type of emotionality in the Commonwealth Employment Service (the Australian national employment service) altered. Within a context of changing economic conditions and concomitant work intensification, it is argued that untenable working conditions resulted in new recruits adopting a coping strategy that led to the use rather than the suppression of emotions. The use of emotions provided workers with job satisfaction and greater control over service interactions. Management subsequently commandeered the use of emotions to complement the introduction of private sector management techniques and service delivery reforms, regaining control over worker-client interactions.

Infra-red pupil detection for use in a face recognition system

This paper presents a new method of eye localisation and face segmentation for use in a face recognition system. By using two near infrared light sources, we have shown that the face can be coarsely segmented, and the eyes can be accurately located, increasing the accuracy of the face localisation and improving the overall speed of the system. The system is able to locate both eyes within 25% of the eye-to-eye distance in over 96% of test cases.

2D-3D Face Recognition Based on PCA and Feature Modelling

Hybrid face recognition, using image (2D) and structural (3D) information, has explored the fusion of Nearest Neighbour classifiers. This paper examines the effectiveness of feature modelling for each individual modality, 2D and 3D. Furthermore, it is demonstrated that the fusion of feature modelling techniques for the 2D and 3D modalities yields performance improvements over the individual classifiers. By fusing the feature modelling classifiers for each modality with equal weights the average Equal Error Rate improves from 12.60% for the 2D classifier and 12.10% for the 3D classifier to 7.38% for the Hybrid 2D+3D clasiffier.