In this study, researchers explored the use of eye-tracking technology on smartphones to measure the impact of digital displays on our health. They found that using a low activation threshold of 500 milliseconds for dwell-time allowed participants to select targets accurately and efficiently, despite the challenges of controlling the pointer on the screen with eye movements alone. The study also showed that video-based eye-tracking is feasible for conducting large-scale user studies on smartphones, making it possible to measure and compare the impact of digital displays on a larger population of digital media consumers, including children and students.
To understand this concept, imagine you are trying to navigate a crowded mall using only your eyes. You can’t use your hands or feet to guide you, so you have to rely on your ability to focus your gaze on different locations to move around. Just like how our eyes help us navigate the world around us, eye-tracking technology can help us understand how people interact with digital displays and their impact on our health.
The researchers used a series of trials to test the accuracy and efficiency of eye-tracking on smartphones. They found that participants were able to accurately select targets after focusing on them for 500 milliseconds, which is similar to how long it takes to blink an eye. This threshold was deemed appropriate because previous studies have shown that this time frame is the best suited for dwell-time in eye-tracking.
The study also showed that using eye-tracking on smartphones can be a useful tool for measuring the impact of digital displays on our health, particularly among children and students. With the rise of online learning and remote work due to the COVID-19 pandemic, there is a growing need to understand how digital media consumption affects our behavior and well-being. By using video-based eye-tracking on smartphones, researchers can conduct large-scale user studies to gather valuable insights into this area.
In summary, this study demonstrated the feasibility of using eye-tracking technology on smartphones to measure the impact of digital displays on our health. The findings suggest that video-based eye-tracking is a useful tool for understanding how people interact with digital media and can be used to conduct large-scale user studies on smartphones. By leveraging this technology, researchers can gain valuable insights into the effects of digital displays on our behavior and well-being, particularly among children and students.
Computer Science, Human-Computer Interaction