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.
«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 e...
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