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Institute
Purpose
Automated scanpath comparison metrics should deliver an objective method to
evaluate the similarity of scanpaths. The aim of this thesis is an evaluation of
seven existing scanpath comparison metrics in static and dynamic tasks in order
to provide a guidline that helps to decide which algorithm has to be chosen for a
special kind of task.
Methods
The applicability of the algorithms for a static, visual search task and a dynamic,
interactive video game task as well as their constraints and limitations were tested.
Therefore, binocular gaze data were recorded by using the eye tracking system The
Eye Tribe (The Eye Tribe ApS, Copenhagen/ Denmark). Objective task performance
measures from 21 subjects were used in order to create scanpath groupings
for which a relevant effect of dissimilarity was to be expected. Objective task performance
measures such as task performance time were statistically evaluated and
compared to the results gained by the comparison metrics.
Results
Four of the algorithms being used successfully identified differences for static and
dynamic tasks: MultiMatch, iComp, SubsMatch and the Hidden Markov Model.
ScanMatch was very sensitive for the static task but not applicable to the dynamic
task whereas FuncSim was suitable for dynamic but not for static tasks. Eyenalysis
failed to detect any effect.
Conclusion
The applicability of scanpath comparison metrics depends on the state of the task,
respectively on the kind of experimental set up. In future, the application area for
eye tracking will expand and an improvement of automated scanpath comparison
metrics is therefore required.
Purpose
The purpose of this study was to investigate the correlation of measured visual acuity
(VA) both static and dynamic obtained with static and dynamic measuring tests, as well
as, response time to visual stimulus and analysis of its influence on dynamic visual
acuity. The aim was to compare the results gathered for the three age groups and
analyze the possible differences.
Methods
The test groups consisted of 75 subjects between 10 and 60 years old, categorized in
three age groups. The measurements of static and dynamic visual acuity and reaction
time were conducted. The set of nine tests (five with radial magnification speed and four
simulating driving condition at 72 km/h and 130 km/h) was designed in order to measure
dynamic visual acuity and the set of two tests for reaction time measurement.
Results
Compared to static visual acuity in both tests, the results obtained with measurements
of dynamic visual acuity resulted in lower values depending on Landolt ring size and
magnification speed of animation. In average, the dynamic visual acuities in tests with
different magnification speeds were lower than static by 0.4 visual acuity units, or 31%
and the average of dynamic visual acuity after subtracting motoric component (reaction
time) was for 0.2 visual acuity worse than static or 15%. In the second test simulating
driving conditions at 72 km/h the average drop in dynamic visual acuity was 33% while
at 130 km/h average drop for younger and middle age groups was 37% and for older
group was 44% and after subtracting motor component values for 72 km/h speed
simulation average drop in visual acuity values was 23% for all three groups; for 130
km/h speed simulation younger and middle aged group average drop of visual acuity
was 20% and with older group it was 24%.
Conclusion
The tests used in this study were simple and fast and revealed significant difference
between static and dynamic visual acuity and influence of reaction time on dynamic
Nataša Vujko Muždalo Abstract
2
visual acuity values. It is hoped that this thesis will be a positive contribution in testing
and training of dynamic visual and sensory response skill with drivers, sportsmen and
people with visual-motor dysfunction.
Keywords: Dynamic visual acuity (DVA), static visual acuity (SVA), reaction time (RT),
motoric component, dynamic visual acuity test, reaction time test, radial increase in size