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Analyzing The Impact Of Cognitive Load In Evaluating Gaze-Based Typing
Gaze-based virtual keyboards provide an effective interface for text entry by eye movements. The efficiency and usability of these keyboards have traditionally been evaluated with conventional text entry performance measures such as words per minute, keystrokes per character, backspace usage, etc. However, in comparison to the traditional text entry approaches, gaze-based typing involves natural eye movements that are highly correlated with human brain cognition. Employing eye gaze as an inputdoi:10.5281/zenodo.583390 fatcat:apbmvxee3bgsxa24pj27eceycm