Gaze-based applications enable hands-free interactions that are suitable for users with disabilities, children, or the elderly for their basic needs. However, these kinds of interactions suffer from several limitations and challenges. One of the main challenges of gaze-based interactions is the ability to distinguish normal eye function from a deliberate interaction with the computer system, commonly referred to as ‘Midas touch’.
Web surfing using EyeTAP
Further, eye tracking studies enable researchers to study and analyze users’ mental patterns such as emotion detection, stress, and eye fatigue recognition. We proposed a mathematical model for eye tracking applications (FELiX) to measure eye fatigue in computer users in our recent paper.
- Parisay, M.*, Poullis C., Kersten-Oertel, M., “EyeTAP: A Novel Technique using Voice Inputs to Address the Midas Touch Problem for Gaze-based Interactions”, 2020. https://arxiv.org/abs/2002.08455
- Parisay, M.*, Poullis C., Kersten-Oertel, M., “FELiX: Fixation-based Eye Fatigue Load Index A Multi-factor Measure for Gaze-based Interactions”, 13th International Conference on Human System Interaction (HSI), Tokyo, Japan, 2020 (Best Paper Award finalist)
- Parisay, M.*, Poullis C., Kersten-Oertel, M. 2020. IDEA: Index of Difficulty for Eye tracking Applications An Analysis Model for Target Selection Task. Accepted to International Conference on Human Computer Interaction Theory and Applications HUCAPP 2020.