@inproceedings{,
    author = {Le, Thanh; Dietz, Felix; Pfeuffer, Ken; Alt, Florian},
    title = {A Practical Method to Eye-tracking on the Phone: Toolkit, Accuracy and Precision},
    editor = {Döring, Tanja; Boll, Susanne; Colley, Ashley; Esteves, Augusto; Guerreiro, João},
    booktitle = {Proceedings of the 21th International Conference on Mobile and Ubiquitous Multimedia},
    series = {},
    journal = {},
    address = {New York},
    publisher = {ACM},
    edition = {},
    year = {2022},
    isbn = {978-1-4503-9820-6},
    volume = {},
    number =  {},
    pages = {182-188},
    url = {https://doi.org/10.1145/3568444.3568463},
    doi = {10.1145/3568444.3568463},
    keywords = {},
    abstract = {While eye-tracking has become a core asset for many computing environments, mobile phones, as a prime computing device, are lacking a practical platform to conduct eye-tracking studies and develop gaze applications easily. In this work, we aim to tackle this issue by investigating a system concept that allows for the deployment of remote eye-trackers for mobile devices. We describe a toolkit that supports eye-tracking in mobile apps based on a simple phone, PC, and remote eye tracker setup. We evaluate our approach through a technical evaluation of accuracy and precision in various user contexts important for mobility (sitting, standing, walking, lying). Our results show that eye-trackers can be easily used with high accuracy, and how it is impacted through body posture and motions of the user. Our work paves the way for enabling easy-to-use eye-tracking studies on mobile devices.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Informatik, INF 5 - Institut für Anwendungssicherheit, Professur: Alt, Florian},
    
    
}