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CHI*ATLANTA : EVENTS : 2006: January 26: Determining the Optimal Number of Usability Test Participants |
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Determining the Optimal Number of Usability Test Participants Power and Sample Size Calculator in HTML Speaker: Bob Bailey, PhD, President, Computer Psychology, Inc. Objectives:
Speaker Bio: Robert W. Bailey is the President of Computer Psychology, Inc., an educational and consulting company based in the United States. Dr. Bailey approaches the issues related to usability, user experience, human factors and user interface design from the perspective of a computer psychologist with over 35 years of experience. He holds a Ph.D. degree from Rice University in human performance psychology and has an international reputation as an author, consultant, researcher and lecturer. Dr. Bailey draws from years of experience in the Human Performance Technology Center at Bell Laboratories. While there, he conducted studies on ways to improve human performance and increase user acceptance. He participated in the development of numerous systems and pioneered many new ideas, including a useful user interface design model, numerous ways to understand and reduce human errors, the effective use of user profiles, and usability testing techniques. While at Bell Laboratories, he helped to create the first usability test laboratory for evaluating computer systems. Dr. Bailey is an excellent teacher. He has served on the faculties of numerous schools, including Columbia University and Stevens Institute of Technology. He continues to instruct computer professionals in major corporations throughout the world, including the United States, Canada, Mexico, Europe, Africa, Asia and Australia. Dr. Bailey is the author of numerous published articles and technical reports, an annual User Interface Update, and three popular books, Research-Based Web Design and Usability Guidelines (2004), Human Performance Engineering: Designing High Quality, Professional User Interfaces for Computer Products and Systems (3rd Edition, Prentice-Hall, 1996), and Human Error in Computer Systems (Prentice-Hall, 1983). |
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