Washburn Shops, 216c
- Associate Professor, School of Business
- Affiliated with:
- Director, User Experience and Decision Making (UXDM) Research Laboratory
As an associate professor of management information systems, I teach both graduate and undergraduate courses, as well as advise IQPs and MQPs. I enjoy teaching because it's a dynamic and innovative process that challenges me to continually evaluate and adjust my teaching strategies to prepare my students for today’s global and competitive business environment. Teaching is also one the most rewarding experiences in my career because it allows me to witness my students' growth and accomplishments.
Similarly, research is a dynamic and innovative process, and I truly enjoy it. My research focuses on the use and impact of technology in organizations. I use subjective measures (e.g., surveys), objective measures (e.g., performance on a task), and physiological measures (e.g., heart-rate variability, eye-tracking) to study how people use a technology and thus gain insight into designing more effective and successful systems. The research I do can be categorized into two areas: Decision Science and Usability. In one I study factors that can influence the effectiveness of systems used for organizational decision making. In the other I investigate factors that play a critical role in user experience.
My research in each area has important contributions for theory and practice. It extends a number of influential theories, such as the Technology Acceptance Model and Behavioral Decision Making. And it informs the design of systems and thus improves their effective usage. My work also provides managers with insight for improving their employees’ effective use of computerized decision aids and, consequently, the return on their IT investments.
- Decision Science
- B.S., 1988 - Christian Albert Universität, Kiel, Germany
- M.S., 1991 - University of New Mexico
- Ph.D., 2004 - University of Hawaii at Manoa
- Djamasbi, S., Siegel, M., Skorinko, J., Tullis, T. “Online Viewing and Aesthetic Preferences of Generation Y and Baby Boomers: Testing User Website Experience through Eye Tracking,” International Journal of Electronic Commerce, forthcoming.
- Djamasbi, S., Siegel, M., Tullis, T. "Generation Y, Baby Boomers & Web Design: Usability Testing through Eye Tracking," International Journal of Human Computer Studies, (68:5) May 2010, pp. 307-323.
- Loiacono, E. and Djamasbi, S. “Moods and Their Relevance to Systems Usage Models within Organizations: An Extended Framework,” AIS Transactions on Human-Computer Interaction (THCI), June 2010 (2:2), pp. 55-72.
- Djamasbi, S., Strong, D., Dishaw M. "Affect and Acceptance: Examining the Effects of Positive Mood on the Technology Acceptance Model," Decision Support Systems, (48:2) January 2010, pp. 383-394.
- Djamasbi, S., Fruhling, A., and Loiacono, E.T. "The Influence of Affect, Attitude and Usefulness in the Acceptance of Healthcare Information Systems," Journal of Information Technology Theory & Application, April 2009 (10:1), pp. 42-57.
Spotlight On: Current Research
Dr. Djamasbi and her colleagues show that tracking users’ eye movements can provide a wealth of information to both researchers and practitioners. By understanding viewing patterns, they show that information systems can be designed more effectively.
Dr. Djamasbi and her colleagues show that tracking users' eye movements can provide a wealth of information to both researchers and practitioners. By understanding viewing patterns, they show that information systems can be designed more effectively.