000147735 001__ 147735 000147735 005__ 20250923084439.0 000147735 0247_ $$2doi$$a10.1145/3687929 000147735 0248_ $$2sideral$$a141176 000147735 037__ $$aART-2024-141176 000147735 041__ $$aeng 000147735 100__ $$aTovar, David 000147735 245__ $$aIdentifying behavioral correlates to visual discomfort 000147735 260__ $$c2024 000147735 5060_ $$aAccess copy available to the general public$$fUnrestricted 000147735 5203_ $$aOutside of self-report surveys, there are no proven, reliable methods to quantify visual discomfort or visually induced motion sickness symptoms when using head-mounted displays. While valuable tools, self-report surveys suffer from potential biases and low sensitivity due to variability in how respondents may assess and report their experience. Consequently, extreme visual-vestibular conflicts are generally used to induce discomfort symptoms large enough to measure reliably with surveys (e.g., stationary participants riding virtual roller coasters). An emerging area of research is the prediction of discomfort survey results from physiological and behavioral markers. However, the signals derived from experimental paradigms that are explicitly designed to be uncomfortable may not generalize to more naturalistic experiences where comfort is prioritized. In this work we introduce a custom VR headset designed to introduce significant near-eye optical distortion (i.e., pupil swim) to induce visual discomfort during more typical VR experiences. We evaluate visual comfort in our headset while users play the popular VR title Job Simulator and show that eye-tracked dynamic distortion correction improves visual comfort in a multi-session, within-subjects user study. We additionally use representational similarity analysis to highlight changes in head and gaze behavior that are potentially more sensitive to visual discomfort than surveys. 000147735 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2022-141539NB-I00 000147735 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000147735 590__ $$a9.5$$b2024 000147735 592__ $$a2.965$$b2024 000147735 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b5 / 128 = 0.039$$c2024$$dQ1$$eT1 000147735 593__ $$aComputer Graphics and Computer-Aided Design$$c2024$$dQ1 000147735 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000147735 700__ $$aWilmott, James 000147735 700__ $$aWu, Xiuyun 000147735 700__ $$0(orcid)0000-0002-0073-6398$$aMartin, Daniel$$uUniversidad de Zaragoza 000147735 700__ $$aProulx, Michael 000147735 700__ $$aLindberg, Dave 000147735 700__ $$aZhao, Yang 000147735 700__ $$aMercier, Olivier 000147735 700__ $$aGuan, Phillip 000147735 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000147735 773__ $$g43, 6 (2024), 1-10$$pACM trans. graph.$$tACM TRANSACTIONS ON GRAPHICS$$x0730-0301 000147735 8564_ $$s1671433$$uhttps://zaguan.unizar.es/record/147735/files/texto_completo.pdf$$yPostprint 000147735 8564_ $$s2436175$$uhttps://zaguan.unizar.es/record/147735/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000147735 909CO $$ooai:zaguan.unizar.es:147735$$particulos$$pdriver 000147735 951__ $$a2025-09-22-14:49:26 000147735 980__ $$aARTICLE