Abstract
Modern graphical user interfaces (GUIs) are designed with able-bodied users
in mind. Operating these interfaces can be impossible for some users who
are unable to control the conventional mouse and keyboard. An eye tracking
system offers possibilities for independent use and improved quality of life via
dedicated interface tools especially tailored to the users’ needs (e.g., interaction, communication, e-mailing, web browsing and entertainment). Much
effort has been put towards robustness, accuracy and precision of modern
eye-tracking systems and there are many available on the market. Even
though gaze tracking technologies have undergone dramatic improvements
over the past years, the systems are still very imprecise. This thesis deals
with current challenges of monomodal gaze interaction and aims at improving
access to technology and interface control for users who are limited to
the eyes only. Low-cost equipment in eye tracking contributes toward improved
affordability but potentially at the cost of introducing more noise in
the system due to the lower quality of hardware. This implies that methods
of dealing with noise and creative approaches towards getting the best out
of the data stream are most wanted. The work in this thesis presents three
contributions that may advance the use of low-cost monomodal gaze tracking
and research in the field:
- An assessment of a low-cost open-source gaze tracker and two eye tracking
systems through an accuracy and precision test and a performance
evaluation.
- Development and evaluation of a novel innovative 3D typing system
with high tolerance to noise that is based on continuous panning and
zooming.
- Development and evaluation of novel selection tools that compensate
for noisy input during small-target selections in modern GUIs.
This thesis may be of particular interest for those working on the use of eye
trackers for gaze interaction and how to deal with reduced data quality. The
work in this thesis is accompanied by several software applications developed
for the research projects that can be freely downloaded from the eyeInteract
appstore.
in mind. Operating these interfaces can be impossible for some users who
are unable to control the conventional mouse and keyboard. An eye tracking
system offers possibilities for independent use and improved quality of life via
dedicated interface tools especially tailored to the users’ needs (e.g., interaction, communication, e-mailing, web browsing and entertainment). Much
effort has been put towards robustness, accuracy and precision of modern
eye-tracking systems and there are many available on the market. Even
though gaze tracking technologies have undergone dramatic improvements
over the past years, the systems are still very imprecise. This thesis deals
with current challenges of monomodal gaze interaction and aims at improving
access to technology and interface control for users who are limited to
the eyes only. Low-cost equipment in eye tracking contributes toward improved
affordability but potentially at the cost of introducing more noise in
the system due to the lower quality of hardware. This implies that methods
of dealing with noise and creative approaches towards getting the best out
of the data stream are most wanted. The work in this thesis presents three
contributions that may advance the use of low-cost monomodal gaze tracking
and research in the field:
- An assessment of a low-cost open-source gaze tracker and two eye tracking
systems through an accuracy and precision test and a performance
evaluation.
- Development and evaluation of a novel innovative 3D typing system
with high tolerance to noise that is based on continuous panning and
zooming.
- Development and evaluation of novel selection tools that compensate
for noisy input during small-target selections in modern GUIs.
This thesis may be of particular interest for those working on the use of eye
trackers for gaze interaction and how to deal with reduced data quality. The
work in this thesis is accompanied by several software applications developed
for the research projects that can be freely downloaded from the eyeInteract
appstore.
| Original language | English |
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| Publisher | IT-Universitetet i København |
|---|---|
| Number of pages | 217 |
| ISBN (Print) | 978-87-7949-252-3 |
| Publication status | Published - 2012 |
| Series | ITU-DS |
|---|---|
| Number | 74 |
| ISSN | 1602-3536 |