Type of Document Dissertation Author Randolph, Adriane Author's Email Address email@adrianerandolph.com URN etd-05182007-113229 Title Individual-Technology Fit: Matching Individual Characteristics and Features of Biometric Interface Technologies with Performance Degree Ph.D. Department Computer Information Systems Advisory Committee
Advisor Name Title Dr. Melody Moore Committee Chair Dr. Bruce Walker Committee Member Dr. Detmar Straub Committee Member Dr. Veda Storey Committee Member Keywords
- user profiles
- biometric user profiling
- biometric
Date of Defense 2007-04-23 Availability unrestricted Abstract Abstract
INDIVIDUAL-TECHNOLOGY FIT: MATCHING INDIVIDUAL CHARACTERISTICS AND FEATURES OF BIOMETRIC INTERFACE TECHNOLOGIES WITH PERFORMANCE
By
ADRIANE B. RANDOLPH
MAY 2007
Committee Chair: Dr. Melody Moore Jackson
Major Department: Computer Information Systems
The term biometric literally means “to measure the body”, and has recently been associated with physiological measures commonly used for personal verification and security applications. In this work, biometric describes physiological measures that may be used for non-muscularly controlled computer applications, such as brain-computer interfaces. Biometric interface technology is generally targeted for users with severe motor disabilities which may last long-term due to illness or injury or short-term due to temporary environmental conditions. Performance with a biometric interface can vary widely across users depending upon many factors ranging from health to experience. Unfortunately, there is no systematic method for pairing users with biometric interface technologies to achieve the best performance. The current methods to accommodate users through trial-and-error result in the loss of valuable time and resources as users sometimes have diminishing abilities or suffer from terminal illnesses. This dissertation presents a framework and methodology that links user characteristics and features of biometric interface technologies with performance, thus expediting the technology-fit process. The contributions include an outline of the underlying components of capturing and representing individual user characteristics and the impact on the performance of basic interaction tasks using a methodology called biometric user profiling. In addition, this work describes a methodology for objectively measuring an individual’s ability to control a specific biometric interface technology such as one based on measures of galvanic skin response or neural activity. Finally, this work incorporates these concepts into a new individual-technology fit framework for biometric interface technologies stemming from literature on task-technology fit.
Key words: user profiles, biometric user profiling, biometric interfaces, fit, individual-technology fit, galvanic skin response, functional near-infrared, brain-computer interface
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