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Thies Pfeiffer, Marc E. Latoschik, and Ipke Wachsmuth, Evaluation of Binocular Eye Trackers and Algorithms for 3D Gaze Interaction in Virtual Reality Environments. JVRB - Journal of Virtual Reality and Broadcasting, 5(2008), no. 16. (urn:nbn:de:0009-6-16605)

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%0 Journal Article
%T Evaluation of Binocular Eye Trackers and Algorithms for 3D Gaze Interaction in Virtual Reality Environments
%A Pfeiffer, Thies
%A Latoschik, Marc E.
%A Wachsmuth, Ipke
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2008
%V 5(2008)
%N 16
%@ 1860-2037
%F pfeiffer2008
%X Tracking user’s visual attention is a fundamental aspectin novel human-computer interaction paradigmsfound in Virtual Reality. For example, multimodal interfacesor dialogue-based communications with virtualand real agents greatly benefit from the analysis ofthe user’s visual attention as a vital source for deicticreferences or turn-taking signals. Current approachesto determine visual attention rely primarily on monoculareye trackers. Hence they are restricted to the interpretationof two-dimensional fixations relative to adefined area of projection.The study presented in this article compares precision,accuracy and application performance of twobinocular eye tracking devices. Two algorithms arecompared which derive depth information as requiredfor visual attention-based 3D interfaces. This informationis further applied to an improved VR selectiontask in which a binocular eye tracker and an adaptiveneural network algorithm is used during the disambiguationof partly occluded objects.
%L 004
%K Eye Tracking
%K Human-Computer Interaction
%K Object Selection
%K Virtual Reality
%R 10.20385/1860-2037/5.2008.16
%U http://nbn-resolving.de/urn:nbn:de:0009-6-16605
%U http://dx.doi.org/10.20385/1860-2037/5.2008.16

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Bibtex

@Article{pfeiffer2008,
  author = 	"Pfeiffer, Thies
		and Latoschik, Marc E.
		and Wachsmuth, Ipke",
  title = 	"Evaluation of Binocular Eye Trackers and Algorithms for 3D Gaze Interaction in Virtual Reality Environments",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2008",
  volume = 	"5(2008)",
  number = 	"16",
  keywords = 	"Eye Tracking; Human-Computer Interaction; Object Selection; Virtual Reality",
  abstract = 	"Tracking user's visual attention is a fundamental aspectin novel human-computer interaction paradigmsfound in Virtual Reality. For example, multimodal interfacesor dialogue-based communications with virtualand real agents greatly benefit from the analysis ofthe user's visual attention as a vital source for deicticreferences or turn-taking signals. Current approachesto determine visual attention rely primarily on monoculareye trackers. Hence they are restricted to the interpretationof two-dimensional fixations relative to adefined area of projection.The study presented in this article compares precision,accuracy and application performance of twobinocular eye tracking devices. Two algorithms arecompared which derive depth information as requiredfor visual attention-based 3D interfaces. This informationis further applied to an improved VR selectiontask in which a binocular eye tracker and an adaptiveneural network algorithm is used during the disambiguationof partly occluded objects.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/5.2008.16",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-16605"
}

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RIS

TY  - JOUR
AU  - Pfeiffer, Thies
AU  - Latoschik, Marc E.
AU  - Wachsmuth, Ipke
PY  - 2008
DA  - 2008//
TI  - Evaluation of Binocular Eye Trackers and Algorithms for 3D Gaze Interaction in Virtual Reality Environments
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 5(2008)
IS  - 16
KW  - Eye Tracking
KW  - Human-Computer Interaction
KW  - Object Selection
KW  - Virtual Reality
AB  - Tracking user’s visual attention is a fundamental aspectin novel human-computer interaction paradigmsfound in Virtual Reality. For example, multimodal interfacesor dialogue-based communications with virtualand real agents greatly benefit from the analysis ofthe user’s visual attention as a vital source for deicticreferences or turn-taking signals. Current approachesto determine visual attention rely primarily on monoculareye trackers. Hence they are restricted to the interpretationof two-dimensional fixations relative to adefined area of projection.The study presented in this article compares precision,accuracy and application performance of twobinocular eye tracking devices. Two algorithms arecompared which derive depth information as requiredfor visual attention-based 3D interfaces. This informationis further applied to an improved VR selectiontask in which a binocular eye tracker and an adaptiveneural network algorithm is used during the disambiguationof partly occluded objects.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-16605
DO  - 10.20385/1860-2037/5.2008.16
ID  - pfeiffer2008
ER  - 
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Wordbib

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ISI

PT Journal
AU Pfeiffer, T
   Latoschik, M
   Wachsmuth, I
TI Evaluation of Binocular Eye Trackers and Algorithms for 3D Gaze Interaction in Virtual Reality Environments
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2008
VL 5(2008)
IS 16
DI 10.20385/1860-2037/5.2008.16
DE Eye Tracking; Human-Computer Interaction; Object Selection; Virtual Reality
AB Tracking user’s visual attention is a fundamental aspectin novel human-computer interaction paradigmsfound in Virtual Reality. For example, multimodal interfacesor dialogue-based communications with virtualand real agents greatly benefit from the analysis ofthe user’s visual attention as a vital source for deicticreferences or turn-taking signals. Current approachesto determine visual attention rely primarily on monoculareye trackers. Hence they are restricted to the interpretationof two-dimensional fixations relative to adefined area of projection.The study presented in this article compares precision,accuracy and application performance of twobinocular eye tracking devices. Two algorithms arecompared which derive depth information as requiredfor visual attention-based 3D interfaces. This informationis further applied to an improved VR selectiontask in which a binocular eye tracker and an adaptiveneural network algorithm is used during the disambiguationof partly occluded objects.
ER

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Mods

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  <titleInfo>
    <title>Evaluation of Binocular Eye Trackers and Algorithms for 3D Gaze Interaction in Virtual Reality Environments</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Pfeiffer</namePart>
    <namePart type="given">Thies</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Latoschik</namePart>
    <namePart type="given">Marc E.</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Wachsmuth</namePart>
    <namePart type="given">Ipke</namePart>
  </name>
  <abstract>Tracking user’s visual attention is a fundamental aspect
in novel human-computer interaction paradigms
found in Virtual Reality. For example, multimodal interfaces
or dialogue-based communications with virtual
and real agents greatly benefit from the analysis of
the user’s visual attention as a vital source for deictic
references or turn-taking signals. Current approaches
to determine visual attention rely primarily on monocular
eye trackers. Hence they are restricted to the interpretation
of two-dimensional fixations relative to a
defined area of projection.
The study presented in this article compares precision,
accuracy and application performance of two
binocular eye tracking devices. Two algorithms are
compared which derive depth information as required
for visual attention-based 3D interfaces. This information
is further applied to an improved VR selection
task in which a binocular eye tracker and an adaptive
neural network algorithm is used during the disambiguation
of partly occluded objects.</abstract>
  <subject>
    <topic>Eye Tracking</topic>
    <topic>Human-Computer Interaction</topic>
    <topic>Object Selection</topic>
    <topic>Virtual Reality</topic>
  </subject>
  <classification authority="ddc">004</classification>
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  <identifier type="issn">1860-2037</identifier>
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  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-16605</identifier>
  <identifier type="citekey">pfeiffer2008</identifier>
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