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    Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3290605.3300842

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Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published

Standard

Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation. / Mardanbegi, Diako; Langlotz, Tobias; Gellersen, Hans-Werner Georg.

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 2019. 612.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Mardanbegi, D, Langlotz, T & Gellersen, H-WG 2019, Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation. in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems., 612, ACM, 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, Glasgow, United Kingdom, 4/05/19.

APA

Mardanbegi, D., Langlotz, T., & Gellersen, H-W. G. (2019). Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems [612] ACM.

Vancouver

Mardanbegi D, Langlotz T, Gellersen H-WG. Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM. 2019. 612

Author

Bibtex

@inproceedings{e5cf04ec7d2943cd898a422ec6dff752,
title = "Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation",
abstract = "Target disambiguation is a common problem in gaze interfaces, as eye tracking has accuracy and precision limitations. In 3D environments this is compounded by objects overlapping in the field of view, as a result of their positioning at different depth with partial occlusion. We introduce \textit{VOR depth estimation}, a method based on the vestibulo-ocular reflex of the eyes in compensation of head movement, and explore its application to resolve target ambiguity. The method estimates gaze depth by comparing the rotations of the eye and the head when the users look at a target and deliberately rotate their head. We show that VOR eye movement presents an alternative to vergence for gaze depth estimation, that is feasible also with monocular tracking. In an evaluation of its use for target disambiguation, our method outperforms vergence for targets presented at greater depth. ",
keywords = "VOR, vestibular system, eye tracking, virtual reality",
author = "Diako Mardanbegi and Tobias Langlotz and Gellersen, {Hans-Werner Georg}",
note = "{\textcopyright} ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3290605.3300842; 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 ; Conference date: 04-05-2019 Through 09-05-2019",
year = "2019",
month = may
day = "4",
language = "English",
isbn = "9781450359702",
booktitle = "Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation

AU - Mardanbegi, Diako

AU - Langlotz, Tobias

AU - Gellersen, Hans-Werner Georg

N1 - © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3290605.3300842

PY - 2019/5/4

Y1 - 2019/5/4

N2 - Target disambiguation is a common problem in gaze interfaces, as eye tracking has accuracy and precision limitations. In 3D environments this is compounded by objects overlapping in the field of view, as a result of their positioning at different depth with partial occlusion. We introduce \textit{VOR depth estimation}, a method based on the vestibulo-ocular reflex of the eyes in compensation of head movement, and explore its application to resolve target ambiguity. The method estimates gaze depth by comparing the rotations of the eye and the head when the users look at a target and deliberately rotate their head. We show that VOR eye movement presents an alternative to vergence for gaze depth estimation, that is feasible also with monocular tracking. In an evaluation of its use for target disambiguation, our method outperforms vergence for targets presented at greater depth.

AB - Target disambiguation is a common problem in gaze interfaces, as eye tracking has accuracy and precision limitations. In 3D environments this is compounded by objects overlapping in the field of view, as a result of their positioning at different depth with partial occlusion. We introduce \textit{VOR depth estimation}, a method based on the vestibulo-ocular reflex of the eyes in compensation of head movement, and explore its application to resolve target ambiguity. The method estimates gaze depth by comparing the rotations of the eye and the head when the users look at a target and deliberately rotate their head. We show that VOR eye movement presents an alternative to vergence for gaze depth estimation, that is feasible also with monocular tracking. In an evaluation of its use for target disambiguation, our method outperforms vergence for targets presented at greater depth.

KW - VOR

KW - vestibular system

KW - eye tracking

KW - virtual reality

M3 - Conference contribution/Paper

SN - 9781450359702

BT - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

PB - ACM

T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019

Y2 - 4 May 2019 through 9 May 2019

ER -