Discomfort luminance level of head‐mounted displays depending on the adapting luminance

Funding information Samsung Display Co., Ltd Abstract The Images in an immersive head-mounted display (HMD) for virtual reality provide the sole source for visual adaptation. Thus, significant, near-instantaneous increases in luminance while viewing an HMD can result in visual discomfort. Therefore, the current study investigated the luminance change necessary to induce this discomfort. Based on the psychophysical experiment data collected from 10 subjects, a prediction model was derived using four complex images and one neutral image, with four to six levels of average scene luminance. Result showed that maximum area luminance has a significant correlation with the discomfort luminance level than average, median, or maximum pixel luminance. According to the prediction model, the discomfort luminance level of a head-mounted display was represented as a positive linear function in log10 units using the previous adaptation luminance when luminance is calculated as maximum area luminance.

[1]  Seungbae Lee,et al.  A study on the ergonomic aspects of the proper luminance level of displays , 2012 .

[2]  Shinichi Uehara,et al.  65‐2: Optical Attachment to Measure Both Eye‐Box/FOV Characteristics for AR/VR Eyewear Displays , 2017 .

[3]  Jong Sang Baek,et al.  Luminance and gamma optimization for mobile display in low ambient conditions , 2015, Electronic Imaging.

[4]  Young-Jun Seo,et al.  65-1: Maximum Comfortable Luminance of Head Mounted Display under Various Surround Illuminances , 2018 .

[5]  Shinichi Uehara,et al.  79‐3: Eyewear Display Measurement Method: Entrance Pupil Size Dependence in Measurement Equipment , 2016 .

[6]  Semin Oh,et al.  Hue and warm-cool feeling as the visual resemblance criteria for iso-CCT judgment , 2018, Color Research & Application.

[7]  Youngshin Kwak,et al.  Monitor brightness changes under a wide range of surround conditions. , 2017, Journal of the Optical Society of America. A, Optics, image science, and vision.

[8]  Pei-Li Sun,et al.  P.125: Color Characterization Models for OLED Displays , 2013 .

[9]  Roy S. Berns,et al.  Methods for characterizing CRT displays , 1996 .

[10]  Kyu-Ik Sohng,et al.  The Quantitative Model for Optimal Threshold and Gamma of Display Using Brightness Function , 2006, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[11]  Ming Ronnier Luo,et al.  Changes in colour appearance of a large display in various surround ambient conditions , 2010 .

[12]  Eric L. Heft,et al.  Absolute radiometric and photometric measurements of near‐eye displays , 2017 .

[13]  N. Prins Psychophysics: A Practical Introduction , 2009 .

[14]  Karl R Gegenfurtner,et al.  Time course of chromatic adaptation for color appearance and discrimination , 2000, Vision Research.

[15]  Donald P. Greenberg,et al.  Color spaces for computer graphics , 1978, SIGGRAPH.