Web-based Biometric Computer Mouse Advisory System to Analyze a Userʹs Emotions and Work Productivity

This article describes the analysis of emotional state and work productivity using a Web-based Biometric Computer Mouse Advisory System to Analyze a Userʹs Emotions and Work Productivity (Advisory system hereafter) developed by this paperʹs authors. The Advisory system determines the level of emotional state and work productivity integrally by employing three main biometric techniques (physiological, psychological and behavioral). By using these three biometric techniques, the Advisory system can analyze a personʹs eleven states of being (stress, work productivity, mood, interest in work) and seven emotions (self-control, happiness, anger, fear, sadness, surprise and anxiety) during a realistic timeframe. Furthermore, to raise the reliability of the Advisory system even more, it also integrated the data supplied by the Biometric Finger (blood pressure and pulse rates). Worldwide research includes various scientists who conducted in-depth studies on the different and very important areas of biometric mouse systems. However, biometric mouse systems cannot generate recommendations. The Advisory system determines a userʹs physiological, psychological and behavioral/movement parameters based on that userʹs real-time needs and existing situation. It then generates thousands of alternative stress management recommendations based on the compiled Maslowʹs Pyramid Tables and selects out the most rational of these for the userʹs specific situation. The information compiled for Maslowʹs Pyramid Tables consists of a collection of respondent surveys and analyses of the best global practices. Maslowʹs Pyramid Tables were developed for an employee working with a computer in a typical organization. The Advisory system provides a user with a real-time assessment of his/her own productivity and emotional state. This article presents the Advisory system, a case study and a scenario used to test and validate the developed Advisory system and its composite parts to demonstrate its validity, efficiency and usefulness.