Comparison of gaze accuracy and precision in real-world and virtual reality

Virtual reality (VR) is popular across many fields and is increasingly used in sports as a training tool. The reason, therefore, is recently improved display technologies, more powerful computation capacity, and lower costs of head-mounted displays for VR. As in the real-world (R), visual effects are the most important stimulus provided by VR. However, it has not been demonstrated whether the gaze behavior would achieve the same level in VR as in R. This information will be important for the development of applications or software in VR. Therefore, several tasks were designed to analyze the gaze accuracy and gaze precision using eye-tracking devices in R and VR. 21 participants conducted three eye-movement tasks in sequence: gaze at static targets, tracking a moving target, and gaze at targets at different distances. To analyze the data, an averaged distance with root mean square was calculated between the coordinates of each target and the recorded gaze points for each task. In gaze accuracy, the results showed no significant differences between R and VR in gaze at static targets (1 m distance, p  > 0.05) and small significant differences at targets placed at different distances ( p  < 0.05), as well as large differences in tracking the moving target ( p  < 0.05). The precision in VR is significantly worse compared to R in all tasks with static gaze targets ( p  < 0.05). On the whole, this study gives a first insight into comparing foveal vision, especially gaze accuracy and precision between R and VR, and can, therefore, serve as a reference for the development of VR applications in the future.

[1]  Miguel A. Velasco,et al.  Accuracy and Precision of the Tobii X2-30 Eye-tracking under Non Ideal Conditions , 2014, NEUROTECHNIX.

[2]  Hans-Werner Gellersen,et al.  Gaze + pinch interaction in virtual reality , 2017, SUI.

[3]  Marcus Nyström,et al.  The influence of calibration method and eye physiology on eyetracking data quality , 2013, Behavior research methods.

[4]  Jack M. Loomis,et al.  Visual perception of egocentric distance in real and virtual environments. , 2003 .

[5]  P. Blignaut,et al.  Eye-tracking data quality as affected by ethnicity and experimental design , 2014, Behavior research methods.

[6]  Alan Kennedy,et al.  Book Review: Eye Tracking: A Comprehensive Guide to Methods and Measures , 2016, Quarterly journal of experimental psychology.

[7]  Catherine Plaisant,et al.  Virtual memory palaces: immersion aids recall , 2018, Virtual Reality.

[8]  Salima Benbernou,et al.  A survey on service quality description , 2013, CSUR.

[9]  Agostino Gibaldi,et al.  Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research , 2016, Behavior Research Methods.

[10]  Thilo Womelsdorf,et al.  MAD saccade: statistically robust saccade threshold estimation via the median absolute deviation , 2020, Journal of eye movement research.

[11]  Roy A. Ruddle,et al.  Virtual and Adaptive Environments: Applications, Implications, and Human Performance Issues , 2004, Presence: Teleoperators & Virtual Environments.

[12]  Meredith Ringel Morris,et al.  Toward Everyday Gaze Input: Accuracy and Precision of Eye Tracking and Implications for Design , 2017, CHI.

[13]  Karina Iglesia Molina,et al.  Virtual reality using games for improving physical functioning in older adults: a systematic review , 2014, Journal of NeuroEngineering and Rehabilitation.

[14]  E. Hossner,et al.  Eye-Tracking Technology and the Dynamics of Natural Gaze Behavior in Sports: A Systematic Review of 40 Years of Research , 2017, Front. Psychol..

[15]  Boris M. Velichkovsky,et al.  The perception of egocentric distances in virtual environments - A review , 2013, ACM Comput. Surv..

[16]  Kristien Ooms,et al.  Accuracy and precision of fixation locations recorded with the low-cost Eye Tribe tracker in different experimental set- ups , 2015 .

[17]  Claus-Dieter Ohl,et al.  Towards the Usage of Virtual Reality for Training in Sports , 2018, Biomedical Journal of Scientific & Technical Research.

[18]  Marie D. Manner,et al.  An Examination of Recording Accuracy and Precision From Eye Tracking Data From Toddlerhood to Adulthood , 2018, Front. Psychol..

[19]  Tim Halverson,et al.  Cleaning up systematic error in eye-tracking data by using required fixation locations , 2002, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[20]  Jörg Schorer,et al.  Virtual Realities as Optimal Learning Environments in Sport - A Transfer Study of Virtual and Real Dart Throwing , 2015 .

[21]  Marcus Nyström,et al.  An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data , 2010, Behavior research methods.

[22]  Kerstin Witte,et al.  Using Several Types of Virtual Characters in Sports - a Literature Survey , 2018, Int. J. Comput. Sci. Sport.

[23]  Albert A. Rizzo,et al.  Virtual Reality in Brain Damage Rehabilitation: Review , 2005, Cyberpsychology Behav. Soc. Netw..

[24]  Marcus Nyström,et al.  Eye tracker data quality: what it is and how to measure it , 2012, ETRA.

[25]  Mehmet Ilker Berkman,et al.  Eye Tracking in Virtual Reality , 2018, Encyclopedia of Computer Graphics and Games.

[26]  David P. Watling,et al.  A systematic review of the application of interactive virtual reality to sport , 2017, Virtual Reality.

[27]  Ralf Dörner,et al.  Virtual und Augmented Reality (VR / AR) , 2013 .

[28]  Jan Drewes,et al.  Effects of pupil size on recorded gaze position: a live comparison of two eyetracking systems , 2011 .

[29]  P. Blignaut.  Fixation identification: The optimum threshold for a dispersion algorithm , 2009, Attention, perception & psychophysics.

[30]  Ernst-Joachim Hossner,et al.  Examining the functionality of peripheral vision: From fundamental understandings to applied sport science , 2017, CISS 2017.

[31]  Rob Gray,et al.  Transfer of Training from Virtual to Real Baseball Batting , 2017, Front. Psychol..

[32]  Oddom Demontiero,et al.  Effects of balance training using a virtual-reality system in older fallers , 2013, Clinical interventions in aging.

[33]  Ignace T C Hooge,et al.  Gaze tracking accuracy in humans: One eye is sometimes better than two , 2018, Behavior Research Methods.

[34]  Billy Sperlich,et al.  The Potential Usefulness of Virtual Reality Systems for Athletes: A Short SWOT Analysis , 2018, Front. Physiol..

[35]  Steffen Masik,et al.  Training using virtual reality improves response behavior in karate kumite , 2019, Sports Engineering.

[36]  Frank H. Durgin,et al.  Distance Perception and the Visual Horizon in Head-Mounted Displays , 2005, TAP.