GaVe: A Webcam-Based Gaze Vending Interface Using One-Point Calibration
Zhe Zeng, Sai Liu, Hao Cheng, Hailong Liu, Yang Li, Yu Feng, Felix, Wilhelm Siebert

TL;DR
GaVe is a webcam-based, touchless gaze interface that enables users to control a display through eye movements with minimal calibration, demonstrating effective performance and user understanding in a user study.
Contribution
This paper introduces GaVe, a novel gaze-based interface using a standard webcam with hierarchical selection and one-point calibration, enhancing contactless human-machine interaction.
Findings
Participants could use GaVe with minimal training
Average target selection time was 6.76 seconds for 12 items
Users found the system easy to understand and operate
Abstract
Even before the Covid-19 pandemic, beneficial use cases for hygienic, touchless human-machine interaction have been explored. Gaze input, i.e., information input via eye-movements of users, represents a promising method for contact-free interaction in human-machine systems. In this paper, we present the GazeVending interface (GaVe), which lets users control actions on a display with their eyes. The interface works on a regular webcam, available on most of today's laptops, and only requires a one-point calibration before use. GaVe is designed in a hierarchical structure, presenting broad item cluster to users first and subsequently guiding them through another selection round, which allows the presentation of a large number of items. Cluster/item selection in GaVe is based on the dwell time of fixations, i.e., the time duration that users look at a given Cluster/item. A user study (N=22)…
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