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Leanne
Miller Hirshfield |
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Leanne.Miller@tufts.edu |
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EducationBA: Hamilton College (computer science) MS: Colorado School of Mines (computer science) PhD Candidate: Tufts University (computer science/ human computer interaction) ResearchAcquiring measurements
about the mental state of a computer user would be valuable in human-computer
interaction (HCI), both for evaluation of interfaces and for real time input
to computer systems. Although we can accurately measure task completion time
and accuracy, factors such as mental workload, frustration and distraction
are typically limited to qualitative observations or subjective surveys
administered. These surveys are often taken after the completion of a task,
potentially missing valuable insight into the user’s changing experience
throughout the task. New evaluation techniques that monitor user experiences while working with
computers are increasingly necessary. To address these evaluation issues,
much current research focuses on developing objective techniques to measure
user states such as workload, emotion, and fatigue in real time. Although
this ongoing research has advanced user experience measurements in the HCI
field, finding accurate, non-invasive tools to measure computer users’ states
in real working conditions remains a challenge. Therefore, I am interested in using functional
near-infrared spectroscopy (fNIRS), a relatively new technology for brain
activity measurement, to acquire objective, real time measurements of mental
workload while users work with various user interfaces. The emerging fNIRS
tool is safe, portable, non-invasive, and it can be implemented wirelessly,
allowing for use in real world environments, making naturalistic HCI
possible. |
Dept. of Computer Science |
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