Eye-gaze control of the computer interface: Discrimination of zoom intent
- Pennsylvania State Univ., University Park, PA (United States). Dept. of Industrial Engineering
- Oak Ridge National Lab., TN (United States)
An analysis methodology and associated experiment were developed to assess whether definable and repeatable signatures of eye-gaze characteristics are evident, preceding a decision to zoom-in, zoom-out, or not to zoom at a computer interface. This user intent discrimination procedure can have broad application in disability aids and telerobotic control. Eye-gaze was collected from 10 subjects in a controlled experiment, requiring zoom decisions. The eye-gaze data were clustered, then fed into a multiple discriminant analysis (MDA) for optimal definition of heuristics separating the zoom-in, zoom-out, and no-zoom conditions. Confusion matrix analyses showed that a number of variable combinations classified at a statistically significant level, but practical significance was more difficult to establish. Composite contour plots demonstrated the regions in parameter space consistently assigned by the MDA to unique zoom conditions. Peak classification occurred at about 1200--1600 msec. Improvements in the methodology to achieve practical real-time zoom control are considered.
- Research Organization:
- Oak Ridge National Lab., TN (United States); Oak Ridge Associated Universities, Inc., TN (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC05-84OR21400; AC05-76OR00033
- OSTI ID:
- 10187733
- Report Number(s):
- CONF-9310100--3; ON: DE94000480
- Country of Publication:
- United States
- Language:
- English
Similar Records
Eye-gaze and intent: Application in 3D interface control
Eye-gaze and intent: Application in 3D interface control