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GazeConduits: Calibration-Free Cross-Device Collaboration through Gaze and Touch

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

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GazeConduits : Calibration-Free Cross-Device Collaboration through Gaze and Touch. / Voelker, Simon; Hueber, Sebastian; Holz, Christian; Remy, Christian; Marquardt, Nicolai.

CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York : Association for Computing Machinery, 2020. 3376578.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Voelker, S, Hueber, S, Holz, C, Remy, C & Marquardt, N 2020, GazeConduits: Calibration-Free Cross-Device Collaboration through Gaze and Touch. in CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems., 3376578, Association for Computing Machinery, New York, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, United States, 25/04/2020. https://doi.org/10.1145/3313831.3376578

APA

Voelker, S., Hueber, S., Holz, C., Remy, C., & Marquardt, N. (2020). GazeConduits: Calibration-Free Cross-Device Collaboration through Gaze and Touch. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems [3376578] Association for Computing Machinery. https://doi.org/10.1145/3313831.3376578

CBE

Voelker S, Hueber S, Holz C, Remy C, Marquardt N. 2020. GazeConduits: Calibration-Free Cross-Device Collaboration through Gaze and Touch. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery. Article 3376578. https://doi.org/10.1145/3313831.3376578

MLA

Voelker, Simon et al. "GazeConduits: Calibration-Free Cross-Device Collaboration through Gaze and Touch". CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery. 2020. https://doi.org/10.1145/3313831.3376578

Vancouver

Voelker S, Hueber S, Holz C, Remy C, Marquardt N. GazeConduits: Calibration-Free Cross-Device Collaboration through Gaze and Touch. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery. 2020. 3376578 https://doi.org/10.1145/3313831.3376578

Author

Voelker, Simon ; Hueber, Sebastian ; Holz, Christian ; Remy, Christian ; Marquardt, Nicolai. / GazeConduits : Calibration-Free Cross-Device Collaboration through Gaze and Touch. CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York : Association for Computing Machinery, 2020.

Bibtex

@inproceedings{cd921cc874af4d97bdcf7426fe8f9d3c,
title = "GazeConduits: Calibration-Free Cross-Device Collaboration through Gaze and Touch",
abstract = "We present GazeConduits, a calibration-free ad-hoc mobile interaction concept that enables users to collaboratively interact with tablets, other users, and content in a cross-device setting using gaze and touch input. GazeConduits leverages recently introduced smartphone capabilities to detect facial features and estimate users' gaze directions. To join a collaborative setting, users place one or more tablets onto a shared table and position their phone in the center, which then tracks users present as well as their gaze direction to determine the tablets they look at. We present a series of techniques using GazeConduits for collaborative interaction across mobile devices for content selection and manipulation. Our evaluation with 20 simultaneous tablets on a table shows that GazeConduits can reliably identify which tablet or collaborator a user is looking at.",
keywords = "cross-device interaction, gaze input, touch input",
author = "Simon Voelker and Sebastian Hueber and Christian Holz and Christian Remy and Nicolai Marquardt",
year = "2020",
doi = "10.1145/3313831.3376578",
language = "English",
booktitle = "CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",
note = "2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 ; Conference date: 25-04-2020 Through 30-04-2020",

}

RIS

TY - GEN

T1 - GazeConduits

T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020

AU - Voelker, Simon

AU - Hueber, Sebastian

AU - Holz, Christian

AU - Remy, Christian

AU - Marquardt, Nicolai

PY - 2020

Y1 - 2020

N2 - We present GazeConduits, a calibration-free ad-hoc mobile interaction concept that enables users to collaboratively interact with tablets, other users, and content in a cross-device setting using gaze and touch input. GazeConduits leverages recently introduced smartphone capabilities to detect facial features and estimate users' gaze directions. To join a collaborative setting, users place one or more tablets onto a shared table and position their phone in the center, which then tracks users present as well as their gaze direction to determine the tablets they look at. We present a series of techniques using GazeConduits for collaborative interaction across mobile devices for content selection and manipulation. Our evaluation with 20 simultaneous tablets on a table shows that GazeConduits can reliably identify which tablet or collaborator a user is looking at.

AB - We present GazeConduits, a calibration-free ad-hoc mobile interaction concept that enables users to collaboratively interact with tablets, other users, and content in a cross-device setting using gaze and touch input. GazeConduits leverages recently introduced smartphone capabilities to detect facial features and estimate users' gaze directions. To join a collaborative setting, users place one or more tablets onto a shared table and position their phone in the center, which then tracks users present as well as their gaze direction to determine the tablets they look at. We present a series of techniques using GazeConduits for collaborative interaction across mobile devices for content selection and manipulation. Our evaluation with 20 simultaneous tablets on a table shows that GazeConduits can reliably identify which tablet or collaborator a user is looking at.

KW - cross-device interaction

KW - gaze input

KW - touch input

UR - http://www.scopus.com/inward/record.url?scp=85091292112&partnerID=8YFLogxK

U2 - 10.1145/3313831.3376578

DO - 10.1145/3313831.3376578

M3 - Article in proceedings

AN - SCOPUS:85091292112

BT - CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

CY - New York

Y2 - 25 April 2020 through 30 April 2020

ER -