Abstract
This study evaluates tuning methods for autofocal glasses using VR to address presbyopia. Autofocals dynamically adjust optical power, promising a more natural visual experience than traditional lenses. We compared manual, gaze-based, and vergence methods in a VR setup, measuring performance and usability through psychophysical tasks and NASA TLX surveys. Results from 21 participants show gaze control excels in precision, manual control provides stability, and vergence control is less effective. The findings guide the selection of tuning methods based on task requirements and user preferences, highlighting the balance between precision and ease of use.
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