Taps only consist of a small part of the manual input when interacting 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.
|Title of host publication||Proceedings of the 2018 ACM Symposium on Eye Tracking Research Applications, ETRA 2018, Warsaw, Poland, June 14-17, 2018|
|Editors||Bonita Sharif, Krzysztof Krejtz|
|Publication status||Published - 2018|