- Eye-Movement Metrics for
Monitoring Human Perception - Progress (06/99)
Two papers pass final peer review and
are accepted for publication:
- Masson, Mestre, & Stone, Speed
Tuning for Motion Segmentation and Discrimination. In: Vision
Research.
This paper compares the speed tuning (limitations)
and temporal integration of human image segmentation based on
speed cues with those of simple speed discrimination under otherwise
identical conditions.
- Krauzlis & Stone, Tracking
with the mind's eye. In: Trends in Neuroscience.
This paper provides a review of recent
findings that show strong links between the two voluntary eye-movement
systems (saccades and pursuit) and between eye movements and
perception.
One paper resubmitted for peer review
- Beutter & Stone, Motion Perception
Affects Human Perception and Pursuit Similarly. To Visual Neuroscience
This paper provides a validation of our
NASA developped eye-movement metric of human motion coherence.
It also describes and tests a model that predicts psychometric
(perceptual) performance from the oculometric (eye-movement)
data.
Progress on setup of new laboratory
(Rm 220):
- New optical bench and a support system
for the high-speed video display constructed
- New data acquisition software (Tempo)
and hardware (192 channel Digital IO board) benchtested. Test
demosntrated that the system can acquire all 14 channels of 12-bit
digital eye- and head-tracker data at 240Hz frame rate.
- Software/Hardware specifications for
eye/head tracker data output provided to ISCAN Inc.
Data Collection:
- Data collection has started in Dr. Stone's
Lab for a study of the role of pursuit eye movements in visual
direction perception (the converse question of our previous studies).
IS active motion perception (during tracking) more accurate than
the standard laboratory visual tests during fixation would suggest?
- Data collection has started in Dr. Masson's
laboratory (in collaboration with Dr. Stone) examining the earliest
component of the smooth eye-movement response (1st few 100 milleseconds)
to measure the time course of the development of the neural object-motion
signal used for eye-movement control. Although we have already
shown that the steady-state response is nearly veridical, we
wish to explore the possibly that the earliest signal results
from a cruder calculation related to the vector average of the
local image motions.
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