Rights statement: © ACM, 2018. 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 ETRA '18 Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications http://doi.acm.org/10.1145/3204493.3204567
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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Correlation between gaze and hovers during decision-making interaction
AU - Weill-Tessier, Pierre
AU - Gellersen, Hans
N1 - © ACM, 2018. 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 ETRA '18 Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications http://doi.acm.org/10.1145/3204493.3204567
PY - 2018/6/14
Y1 - 2018/6/14
N2 - Taps only consist of a small part of the manual input when inter-acting with touch-enabled surfaces. Indeed, how the hand behaves in the hovering space is informative of what the user intends to do. In this article, we present a data collection related to hand and eye motion. We tailored a kiosk-like system to record participants' gaze and hand movements. We specifically designed a memory game to detect the decision-making process users may face. Our data collection comprises of 177 trials from 71 participants. Based on a hand movement classification, we extracted 16588 hovers. We study the gaze behaviour during hovers, and we found out that the distance between gaze and hand depends on the target's location on the screen. We also showed how indecision can be deducted from this distance.
AB - Taps only consist of a small part of the manual input when inter-acting with touch-enabled surfaces. Indeed, how the hand behaves in the hovering space is informative of what the user intends to do. In this article, we present a data collection related to hand and eye motion. We tailored a kiosk-like system to record participants' gaze and hand movements. We specifically designed a memory game to detect the decision-making process users may face. Our data collection comprises of 177 trials from 71 participants. Based on a hand movement classification, we extracted 16588 hovers. We study the gaze behaviour during hovers, and we found out that the distance between gaze and hand depends on the target's location on the screen. We also showed how indecision can be deducted from this distance.
U2 - 10.1145/3204493.3204567
DO - 10.1145/3204493.3204567
M3 - Conference contribution/Paper
SN - 9781450357067
BT - Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications - ETRA '18
PB - ACM Press
CY - New York
ER -