Understanding eye movements
Eye movements are crucial for human interaction with the world, allowing for visual processing of high amounts of information about our surroundings. As research has shown, eye movements are an indirect source of relevant information related to cognitive processes, clinical phenomena, and basic brain mechanisms. As a result, eye movement measurements have become a key methodology in many research fields, such as psychology, clinical research, user experience, sports, and computer science, with eye tracking as the primary technique to study eye movements. |
The evolution of eye tracking
Over the last two decades, advancements in hardware and software technology have made eye tracking more accessible than ever. Nowadays, eye tracking is a non-invasive technology that allows researchers to capture eye movements at high frequency and accurately for the vast majority of the population. In terms of setups, eye tracking technology has also expanded from screen-based, in-lab setups with a controlled environment to wearables in the real world, and more recently, to VR and AR setups. |
Eye tracking research fields
Eye tracking is experiencing a boom in the number of fields that use it as a research method. It is already an established methodology and widely used in fundamental research fields, such as psychology or neuroscience, where it has contributed to understanding the underlying mechanisms related to attention and visual processing. In recent years, other research fields have started to use eye tracking in more applied contexts, such as driving or clinical research. Eye tracking helps us understand how we interact with and visually explore our environment with the aim of solving a practical problem or research question. |
ANNUAL RESEARCH REPORT 2022 and 2023, by TOBII AB
