Ho, J.J.HoPointner, R.R.PointnerShih, H.-C.H.-C.ShihLin, Y.-C.Y.-C.LinChen, H.-Y.H.-Y.ChenTseng, W.-L.W.-L.TsengYEN-YANG CHEN2018-09-102018-09-102015http://www.scopus.com/inward/record.url?eid=2-s2.0-84959329626&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/392028With 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. ? 2015 ACM.CVS; Face detection; Harmon distance; Warnings[SDGs]SDG3Computer vision; Face recognition; Mobile devices; Smartphones; Computer vision syndromes; Harmon distance; Mobile applications; Safe distance; User study; Viewing distance; Warnings; Human computer interactionconference paper10.1145/2785830.2785836