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Associate Professor, Brigham Young University
Lessons Learned from Over a Decade of Studying the Behavior of Mice and Other Computer-Input Devices
Abstract: Computer input devices—such as the mouse, touchscreen, and keyboard—are fine-grained sensors that gather user data at millisecond precision rates. This data is often messy and comes in astronomically large quantities at scale. We have developed methods and technology to clean and extract signals from this data source to predict users’ emotional and cognitive states, predicting outcomes such as fraud, frustration, and usability. In this interactive presentation (bring your laptops), I will summarize over a decade of our research in this area, including key theories, study results, and lessons learned from commercializing our research. Overall, we find that data collected from computer input devices has robust utility in better understanding users when interpreted within context. In addition, we suggest areas for further investigation and future research to advance human-computer interaction research using input devices as sensors.
Bio: Dr. Jenkins is a Professor of Information Systems at the Marriott School of Business, Brigham Young University. His research focuses on using human-computer input devices (e.g., the computer mouse, touchscreen, keyboard) to better understand users’ cognitive and emotional states. He has applied his expertise to a variety of settings to improve fraud detection, risk assessments, behavioral information security, system usability, and online learning. He has published extensively in leading business and technology journals. In addition, the university has patented his research and licensed the patents to NeuroID, Inc. - a university spin-off company that Dr. Jenkins co-founded. Dr. Jenkins teaches classes in tech entrepreneurship, cyber security, and other information systems courses. He believes that teaching should not only help students develop relevant and useful skills, but also inspire students to seek and achieve great things beyond formal university instruction. He loves teaching in the classroom and also developing improved methods to teach and inspire students in online learning scenarios. He graduated with a Ph.D. in Management with a major in Management Information Systems and a minor in Computational Linguistics from the University of Arizona. His advisor was Dr. Joe Valacich. He earned a master’s degree in Information Systems Management and a bachelor’s degree in Information Systems from Brigham Young University, and an associate degree in Information Systems from Brigham Young University-Idaho. He is originally from Rigby, Idaho.