EyeProtector: Encouraging a Healthy Viewing Distance when using Smartphones
Date Issued
2015
Date
2015
Author(s)
Ho, Chun-Ming
Abstract
With the advent of the technological era, Computer Vision Syndrome (CVS) has become a common problem. Due to the small hand-held form of smartphones, many users are not aware of the distance between eyes and the device. This habit may lead to negative impacts on ocular health. Always keeping a safe distance prevents the user from CVS. In this paper, we present a mobile application that utilizes the front camera to estimate the distance between the phone and the user. Once this distance is too short, the system alerts the user. We explore four different types of warnings: Blur, Flashing Border, Spot, and Push Notification. We conducted user studies to measure satisfaction, effectiveness, and distraction of these warning methods. Our results show that our system is effective in reminding users to keep a safe distance.
Subjects
CVS
Harmon Distance
Warnings
Face detection
Type
thesis
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