DESIGN AND EVALUATION OF THE HUMAN - BIOMETRIC SENSOR INTERACTION METHOD by Eric

Kukula, Eric, P., Ph.D., Purdue University, August, 2008. Design and Evaluation of the Human-Biometric Sensor Interaction Method. Major Professor: Stephen J. Elliott. This research investigates the development and testing of the HumanBiometric Sensor Interaction Evaluation Method that used ergonomics, usability, and image quality criteria as explanatory variables of overall biometric system performance to evaluate swipe-based fingerprint recognition devices. The HBSI method was proposed because of questions regarding the thoroughness of traditional testing and performance evaluation metrics such as FTA, FTE, FAR, and FRR used in standardized evaluation methods; questioning if traditional metrics were acceptable enough to fully test and understand biometric systems, or determine if important data were not being collected. The Design and Evaluation of the Human-Biometric Sensor Interaction Method had four objectives: (a) analyze the literature to determine what influences the interaction of humans and biometric devices, (b) develop a conceptual model based on previous research, (c) design two alternative swipe fingerprint sensors, and (d) to compare how people interact with the commercial and designed swipe fingerprint sensors, to examine if changing the form factor