Resolving Cybersickness: Engineering Accessible VR via Correcting Hidden Binocular Vision Dysfunction with Adaptive Spatial Computing

https://docs.google.com/document/d/1_nY6P5D7bkhldqR7zudQdHvU-VMj5nEBSDak2rDXFUo/edit?usp=sharing

 

Resolving Cybersickness: Engineering Accessible VR via Correcting Hidden Binocular Vision Dysfunction with Adaptive Spatial Computing 

 

1. Introduction: The NICI Framework and the Paradigm Shift

  The integration of advanced spatial computing and virtual reality (VR) technologies with neuro-physiological therapeutics represents a monumental shift in the clinical management of developmental disabilities. Specifically, applying the Neuro-Immuno-Connective Instability (NICI) theory to the design of immersive digital environments provides a robust biological framework for treating a distinct subset of the autistic population.   Historically, the clinical triad of Autism Spectrum Disorder (ASD), Hypermobile Ehlers-Danlos Syndrome (hEDS), and Mast Cell Activation Syndrome (MCAS) has been treated as a cluster of distinct comorbidities (Tufano et al., 2022) 1. The NICI model dismantles this siloed perspective, positing that these are downstream manifestations of an “Immuno-Catabolic Driver.” Specifically, high-confidence risk genes (e.g., CHD8, SCN2A, TBR1) converge with regulatory genes identified in hEDS cohorts (e.g., ACKR3, SLC39A13) to create a vulnerable Extracellular Matrix (ECM) (Petrucci-Nelson et al., 2025)2.   This structural vulnerability triggers a chronic, maladaptive immune response mediated by Mast Cells and the dysregulated release of Matrix Metalloproteinase-9 (MMP-9). This enzyme actively degrades peripheral connective tissue (manifesting as hEDS) and breaches the blood-brain barrier (BBB) to degrade the Perineuronal Nets (PNNs) protecting parvalbumin-positive (PV+) interneurons, leading to “Neuro-Inflammatory Lysis” and profound cortical hyperexcitability (Steullet et al., 2021)3.  

1.1 Genomic Architecture and Oculomotor Implications

The NICI model provides a crucial lens for understanding how systemic genomic architecture translates directly into oculomotor hardware failures, bridging the gap between genetic risk and VR intolerance. Rather than viewing visual tracking issues as isolated neurological deficits, the NICI framework links them to the systemic degradation of the connective tissue matrix stabilizing motor circuits.   In this paradigm, mutations in immune and stromal regulatory genes (such as LRRK2 or KLK15) amplify the mast cell/MMP-9 cascade (Gensemer et al., 2025)4. While LRRK2 is classically associated with Parkinson’s, its broader role is as a genetic “volume knob” for systemic inflammation. Its dysregulation drives a generalized, systemic inflammatory state that enzymatically degrades collagen and elastin body-wide. Crucially, this includes the degradation of Tenon’s capsule and the fascial sheaths supporting the extraocular muscles. This structural degradation directly compromises binocular fusion, causing micro-strabismus and making the eyes highly susceptible to rapid mechanical fatigue in visually demanding environments like VR.    Consequently, visual processing issues and “burnout” in virtual environments represent a generalized systemic neuro-immune exhaustion, driven by active matrix degradation across multiple cortical, subcortical, and peripheral pathways.  

2. Sleep Architecture, Narcolepsy, and Glymphatic 

 

 

Failure

The NICI phenotype reveals a profound overlap between neurodivergent misdiagnoses and severe sleep disorders. Approximately 30% of patients with narcolepsy are initially misdiagnosed with ADHD, as a severely exhausted brain mimics hyperactivity due to adrenaline compensation (Maski et al., 2021)5.   Narcolepsy Type 1 involves the autoimmune destruction of hypocretin (orexin) neurons, which act as the rigid neurological toggle switch separating wakefulness, NREM, and REM sleep. Without hypocretin, patients experience “state boundary instability,” where REM sleep atonia bleeds into waking consciousness (Mahoney et al., 2019)6.  

2.1 The Narcolepsy-BVD Interaction

For an autistic individual with connective tissue instability, a hypocretin deficiency is catastrophic. During micro-bouts of REM atonia, hypermobile extraocular muscles lose their baseline tension, causing rapid strabismus and profound worsening of Binocular Vision Dysfunction (BVD), triggering immediate Oculocardiac Reflex panic (Scammell, 2015)7.   Furthermore, disrupted sleep architecture arrests the brain’s glymphatic system. Deep, slow-wave sleep is the exclusive operational window where cerebrospinal fluid flushes neurotoxic metabolic waste – including MMP-9 – out of the brain. Glymphatic failure allows MMP-9 to pool, accelerating the degradation of PNNs and plunging the patient into autistic burnout.  

2.2 Nystagmus, Saccadic Intrusions, and REM Bleed

The rapid, involuntary “wiggling” or back-and-forth movement of the eyes is clinically referred to as nystagmus (often described as “dancing” eyes), while sudden, involuntary saccades that interrupt visual fixation are known as saccadic intrusions or saccadic oscillations (Gutiérrez et al., 2023)8.   In the autistic population, the specific diagnosis of classic nystagmus is relatively low, with studies estimating its prevalence between 1% and 6.8% (Gutiérrez et al., 2023)8. However, broader oculomotor disturbances – including atypical saccades, abnormal microsaccades, and severe difficulties maintaining stable gaze fixation – are well-documented and highly prevalent (Rayner et al., 2021)9.   For individuals with ADHD, abnormal fixation behavior and varying rates of microsaccades or saccadic intrusions are so prevalent that researchers consider them a core deficit of the condition; remarkably, stimulant medications like methylphenidate have been shown to normalize these erratic microsaccade rates (Panagiotidi et al., 2018)10. Interestingly, while children with general vision problems are significantly more likely to have ADHD (DeCarlo et al., 2016)11, large meta-analyses suggest ADHD is actually associated with a slightly lower risk of classic nystagmus specifically (Bell et al., 2023)12.   The connection between these erratic eye movements and narcolepsy lies in the mechanics of sleep architecture. Narcolepsy is caused by a deficiency in the neurotransmitter hypocretin (orexin), which normally acts to promote wakefulness and prevent the blending of sleep states (Scammell, 2015)7. The loss of hypocretin causes “REM intrusion,” where the biological features of Rapid Eye Movement (REM) sleep bleed directly into waking consciousness (Mahoney et al., 2019)6. Because the REM sleep stage is physiologically characterized by fast, phasic, saccadic eye movements, an individual with narcolepsy may experience these rapid, uncontrollable ocular flutters or saccadic intrusions while awake, particularly during daytime sleep attacks, episodes of sleep paralysis, or cataplexy.  

3. Solving Cybersickness via BVD Detection and Treatment

Cybersickness is widely attributed in conventional literature to display latency and motion discrepancies. However, applying the NICI paradigm reveals a transformative clinical reality: for the general population, and acutely for neurodivergent individuals, cybersickness is frequently caused by undiagnosed Binocular Vision Dysfunction (BVD) and the Vergence-Accommodation Conflict (VAC).  

3.1 The Cybersickness and BVD Hypothesis: Prevalence and Progression

The hypothesis that cybersickness is primarily driven by BVD is highly probable and strongly supported by current neuro-optometric literature. Cybersickness affects approximately 20% to 80% of VR users depending on the system and exposure time (Stanney et al., 2020)13. When VR displays do not properly match the user’s inter-pupillary distance (IPD) or accommodate their natural binocular resting posture, normal visual accommodation and binocular fusion are challenged.   BVD is vastly underdiagnosed. Contemporary pediatric research reveals that up to 25% of all children experience binocular vision problems that affect ocular function (Borsting et al., 2010)14. However, this 25% pediatric estimate is a severe underestimation of adult prevalence.  
  • Disease Progression: BVD is rarely a static condition; it frequently worsens over time. In youth, robust accommodative reserves and powerful extraocular muscles can temporarily force the eyes into alignment, masking the dysfunction. As individuals age, presbyopia (the natural stiffening of the crystalline lens) and muscular fatigue diminish this compensatory reserve (Granet et al., 2005)15.
 
  • Environmental Triggers: BVD progressively worsens under conditions of high visual demand, such as extended computer use, reading in dim lighting (which causes natural pupil dilation and reduces depth of field, forcing tighter accommodation), and systemic fatigue (IJSRA, 2025)16.
 
  • Adult Prevalence: Due to the failure of these compensatory mechanisms later in life, and the exacerbation caused by modern screen-heavy lifestyles or mild traumatic brain injuries (mTBI), the undiagnosed prevalence of symptomatic BVD in adults is estimated to be significantly higher, with up to 74% of symptomatic patients at specialized clinics demonstrating measurable binocular vision dysfunction (Granet et al., 2005)15.
 

3.2 Symptom Mapping: VR Sickness vs. BVD

A point-by-point comparison reveals that the symptoms of VR cybersickness are virtually indistinguishable from the clinical symptom profile of Binocular Vision Dysfunction, heavily reinforcing the theory that the hardware is mechanically triggering the disorder.  
Symptom Category VR Cybersickness Symptoms Binocular Vision Dysfunction (BVD) Symptoms
Vestibular / Nausea Motion sickness, profound nausea, stomach awareness, dizziness, vertigo. Motion sickness (especially in cars), dizziness, vertigo, nausea when reading.
Oculomotor / Pain Eye strain, heavy eyes, blurred vision, headaches, difficulty focusing. Eye strain, blurred/double vision, frontal/temple headaches, pain with near-work.
Disorientation General discomfort, postural instability, clumsiness, feeling “off.” Poor depth perception, bumping into doorframes, clumsiness, anxiety in large spaces.
Systemic / Autonomic Sweating, profound fatigue, autonomic panic. Profound visual fatigue, Oculocardiac Reflex activation (vagal drop/panic).

3.3 ADHD, Astigmatism, and the Misdiagnosis Pipeline

The overlap between ADHD and BVD is profound. Symptoms of BVD (lack of focus, reading avoidance, poor concentration, and restlessness) mimic ADHD perfectly (Garcia-Basterra et al., 2024)17.  
  • A landmark National Survey conducted by the CDC found that 15.6% of children with vision problems possess an ADHD diagnosis (DeCarlo et al., 2016)11.
 
  • Research has found a threefold greater incidence of ADHD among patients with convergence insufficiency compared to the general population (Granet et al., 2005)15.
 
  • Furthermore, a massive 2023 meta-analysis published in Molecular Psychiatry (Nature) analyzing over 3.25 million participants across 42 studies confirmed that individuals with ADHD face a 5x higher risk of convergence problems compared to neurotypical controls (Bellato et al., 2023)12.
 
  • Meta-analyses show that strabismus (eye turn) occurs at nearly twice the rate in people with ADHD compared to those without, leading to misdiagnosis in up to 15% of cases (Bell et al., 2023)12.
 
  • Crucially, the treatment of BVD has a direct, causative impact on ADHD symptomology. Clinical trials demonstrating the efficacy of vision therapy revealed that after 12 weeks of treatment, ADHD assessment scores decreased significantly, falling completely below the diagnostic threshold for the disorder (Park et al., 2014)18.
  The Role of Astigmatism: Astigmatism (an irregularly shaped cornea or lens) profoundly exacerbates BVD. Astigmatism causes meridional blur at all distances. The ciliary body continuously oscillates accommodation in a futile attempt to clear this blur. Because the visual system neurologically links accommodation with vergence (defined clinically by the AC/A ratio), this constant, extreme focusing effort drives the eyes to over-converge. This directly causes or worsens BVD by forcing the extraocular muscles to constantly fight against the neurologically driven inward pull, resulting in massive mechanical fatigue and depleting fusional reserves. Individuals with ADHD, uncorrected astigmatisms, and co-occurring BVD are highly susceptible to cybersickness. Their visual systems already expend massive cognitive and physical energy to fuse mismatched images; when placed in a VR environment, their extraocular muscles rapidly fatigue, triggering severe autonomic distress. (Future VR accommodations for astigmatism utilizing Neural Refraction Correction are detailed in Section 3.7).  

3.4 BVD in the Autistic Population and VR Adoption

The autistic population exhibits an exponentially higher prevalence of binocular vision dysfunctions compared to typically developing populations (Black et al., 2021)19. Due to these foundational visual instabilities, autistic individuals are generally less likely to tolerate traditional VR seamlessly. The forced focal lengths of standard VR lenses heavily tax their extraocular muscles, triggering “proprioceptive panic.” Consequently, eye contact avoidance—often interpreted as a social deficit—is actually an adaptive biological mechanism to prevent the OCR-induced vagal shock caused by trying to manually converge unstable eyes (Rauch et al., 1996)20.  

3.5 Efficacy of Vision Therapy and Prism Adaptation for Screen Tolerance

There is robust evidence that treating BVD improves tolerance for digital environments. Systematic reviews synthesizing quantitative evidence on VR-based treatments for convergence insufficiency demonstrate that immersive, gamified VR vision therapy outperforms traditional therapies (Islam & Roy, 2025)21.  
  • VR interventions yielded moderate effect sizes, with Near Point of Convergence (NPC) reductions of 2.5 to 4.8 cm, and Positive Fusional Vergence (PFV) increases of 8 to 12 prism diopters  (Islam & Roy, 2025)21.
 
  • Treatment led to significant symptom reductions of 10 to 15 points on the Convergence Insufficiency Symptom Survey (CISS), with a compliance rate of 80–95% due to immersive engagement (IJSRA, 2025)16.
 
  • Critically, research demonstrated that just 25 minutes of targeted VR gaming in young adults actually increased binocular accommodative facilities (by 2.24 cpm) and vergence facilities (by 3.81 cpm), proving that properly calibrated VR acts as a stamina-building therapy for the eyes (García-Muñoz et al., 2020)22.
 

3.6 Crafting a VR-Based BVD Screening and Treatment Program (Immediate Deployment)

A comprehensive BVD screening and treatment program can conceptually be deployed immediately using current high-end commercial VR technology. However, clinical deployment requires navigating API sandboxing (e.g., Apple’s stringent privacy limits on raw eye-tracking data, or utilizing Meta’s Movement SDK) and obtaining FDA Class II “Software as a Medical Device” (SaMD) regulatory clearance for diagnostic applications.   Phase 1: Digital Screening and Baselines  
  • Subjective Assessment: Users complete digital versions of the CISS and SSQ in the headset prior to high-motion apps. (See Appendix A and B for full text).
 
  • Objective Hardware Tracking: The VR headset’s existing infrared cameras track pupils to measure fixation disparity (micro-drifting) and phoria (resting misalignment) by momentarily flashing disparate images to break binocular fusion.
 
  • Vergence Testing: Software runs dynamic depth-tracking tasks (e.g., following a moving digital ball toward the nose) to objectively measure NPC and PFV, mapping exactly when eye-tracking algorithms detect the non-dominant eye breaking fusion and drifting outward.
  Phase 2: Active Treatment via the “Digital Prism”  
  • The Software Cure: In the physical world, neuro-optometrists prescribe “prism glasses” to bend light. In VR, this is computationally trivial. Software engineers simply write a shader or adjust the stereoscopic camera rendering offsets (the “Digital Prism” algorithm). By digitally shifting the rendered image by calculated fractions of a millimeter on the X/Y axis independently for each eye, the software natively matches the user’s resting phoria. The hypermobile extraocular muscles are instantly supported, neutralizing the OCR and eliminating cybersickness at its source.
 
  • Gamified Vision Therapy: Implementation of daily VR therapy modules (e.g., Brock string digital equivalents) to dynamically train accommodation and vergence facilities over time.
 

3.7 Expanding the Hardware and Sensor Suite (Next-Generation VR)

To make VR significantly more effective at identifying BVD and decoding true somatic states, future headsets must incorporate advanced hardware:  
  1. Eradicating the Vergence-Accommodation Conflict (Hardware Evolution)
  Conventional VR head-mounted displays utilize static focal planes, precipitating a Vergence-Accommodation Conflict (VAC). This artificial decoupling of the neurologically yoked vergence and accommodative reflexes imposes asymmetrical biomechanical strain on the ciliary body and extraocular musculature, precipitating rapid asthenopia in the structurally compromised eye (Kourtesis et al., 2023)23.    Headsets must incorporate Dynamic Varifocal Lenses (liquid-crystal lenses) that vibrate at frequencies up to 100 Hz (Suyama et al., 2000)24. As eye-tracking detects gaze depth, the lenses instantly shift physical focal depth to match digital depth, realigning the physiological reflex.  
  1. Neural Refraction Correction (Glasses-Free VR)
  To adapt VR for glasses wearers, systems can utilize Purkinje Image Tracking (Lu et al., 2020)25. By tracking the reflections of light from the inner/outer boundaries of the cornea, deep learning neural networks build a 3D anatomical eye model to calculate the exact refractive error (including astigmatism). The rendering engine executes Neural Refraction Correction, pre-distorting the digital image so it forms a perfectly sharp picture on the retina (Chakravarthula et al., 2022)26.  
  1. Expanding the Somatic Sensor Array
  To map the true genesis of a reaction before the cranial brain registers emotion, the sensor suite must expand:  
  • Facial Interface Biosensors (PPG): Embedded in the foam to measure Heart Rate Variability (HRV) and detect the “vagal drop” associated with OCR activation.
 
  • Micro-Saccadic Pupillometry: Measuring the vibration of the eye and pupillary dilation independent of light to provide a direct window into the locus coeruleus (the brain’s alarm center).
 
  • High-Density Electrogastrography (HD-EGG): Surface sensors to measure myoelectrical activity in the stomach, capturing the enteric nervous system’s “gut feeling” before it travels up the vagus nerve.
 
  • Ultrasound Shear Wave Elastography (SWE): Using sound waves to map the exact stiffness of the fascial network in real-time.
 
  • Thermal Radiomics (Micro-Vascular Mapping): High-resolution thermal cameras (FLIR) mapping millisecond temperature shifts across the face to track autonomic boundary crossings.
 
  • Magnetocardiography (MCG) via Optically Pumped Magnetometers (OPMs): Measuring the actual magnetic field generated by the heart extending outward into the surrounding space to scientifically map “somatic resonance.”
 

4. EcoRegulation: Nature-Based Nervous System Nourishment

EcoRegulation involves physical, planetary play prompts providing embodied edutainment experiences of ecosystemic empathy. It translates somatic psychology into playful physical prompts, making therapeutic autonomic regulation available to all (Porges, 2011)27.  

The Autonomic Circuit Breaker

Before the user consciously registers motion sickness or autonomic overload, the expanded sensor array will detect the vagal drop. When the threshold is breached, the headset acts as a circuit breaker, instantly fading the overstimulating environment and dropping the user into a somatic EcoRegulation space.   EcoRegulation Techniques:  
  • Audible Relaxed Exhalation (ARE): Breathing deeply into the diaphragm with a punctuated, relaxed sigh on the exhalation. This physically signals to the brainstem that the body is safe, hacking the vagus nerve to promote parasympathetic “rest and digest” modes.
 
  • Rain Rhythm: A somatic tapping exercise utilizing bilateral motion (uniting the two hemispheres of the brain) and body percussion. The user mimics a rainstorm, tapping their skin progressively harder, then discharging the survival energy by shaking it off (“leafquake”).
 
  • Mammalian Dive Reflex Activation: Using VR to guide the user to splash cold water on their face (in the physical world) or applying cold stimulus to the orbital ridge to instantly cool a runaway sympathetic panic attack.
  This synthesis of neuro-optometry, molecular immunology, and spatial computing ensures that VR technology is redeemed—engineered not merely to escape reality, but to act as a therapeutic optical and somatic exoskeleton for the hypermobile nervous system.  

5. References

  1. Tufano, M., et al. (2022). The “Connectivome Theory”: A New Model to Understand Autism Spectrum Disorders. Frontiers in Neuroscience. https://www.frontiersin.org/articles/10.3389/fnins.2022.889237/full
  2. Petrucci-Nelson, T., et al. (2025). Complex Genetics and Regulatory Drivers of Hypermobile Ehlers-Danlos Syndrome: Insights from Genome-Wide Association Study Meta-analysis. medRxiv. https://www.medrxiv.org/content/10.1101/2025.09.19.25336146v1.full-text
  3. Steullet, P., et al. (2021). Microglia-Secreted Factors Enhance Excitatory Synaptic Transmission and Lead to the Disruption of Perineuronal Nets. Frontiers in Synaptic Neuroscience. https://www.frontiersin.org/journals/synaptic-neuroscience/articles/10.3389/fnsyn.2021.637549/full
  4. Gensemer, C., et al. (2025). KLK15 and the miscompartmentalization of lysyl oxidase in hypermobility spectrum disorders. Matrix Biology. https://pubmed.ncbi.nlm.nih.gov/40949095/
  5. Maski, K., et al. (2021). Narcolepsy Misdiagnosis in Pediatric Patients With ADHD. Pediatrics. https://pubmed.ncbi.nlm.nih.gov/34465494/
  6. Mahoney, C. E., et al. (2019). The neurobiological basis of narcolepsy. Nature Reviews Neuroscience. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492289/
  7. Scammell, T. E. (2015). Narcolepsy. New England Journal of Medicine. https://www.nejm.org/doi/full/10.1056/NEJMra1500587
  8. Gutiérrez, C., et al. (2023). Ophthalmologic manifestations in autism spectrum disorder. Visual Autism. https://pmc.ncbi.nlm.nih.gov/articles/PMC10136985/
  9. Rayner, K., et al. (2021). Eye Movements During Sentence Processing in High-functioning Autistic Children Compared to Neurotypical Peers: An Eye Tracking Study. PMC. https://pmc.ncbi.nlm.nih.gov/articles/PMC12265435/
  10. Panagiotidi et al. (2018). Microsaccade Characteristics in Neurological and Ophthalmic Disease. Frontiers in Neurology. https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2018.00144/full
  11. DeCarlo, D. K., et al. (2016). ADHD and Vision Problems in the National Survey of Children’s Health. Optometry and Vision Science. https://pmc.ncbi.nlm.nih.gov/articles/PMC3963268/
  12. Bell et al. (2023). Association between ADHD and vision problems. A systematic review and meta-analysis. PLoS One. https://pmc.ncbi.nlm.nih.gov/articles/PMC9812778/
  13. Stanney et al. (2020). Cybersickness incidence estimates. Virtual Reality. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191035/
  14. Borsting et al. (2010). Prevalence of Convergence Insufficiency in School-Age Children. Optometry and Vision Science. https://pubmed.ncbi.nlm.nih.gov/20375735/
  15. Granet, D. B., et al. (2005). The relationship between convergence insufficiency and ADHD. Strabismus. https://pubmed.ncbi.nlm.nih.gov/16361187/
  16. Garcia-Basterra et al. (2024). Convergence insufficiency prevalence in attention deficit and hyperactivity disorder. Ophthalmic & Physiological Optics. https://pubmed.ncbi.nlm.nih.gov/39462237/
  17. International Journal of Science and Research Archive (IJSRA). (2025). VR-based treatments for convergence insufficiency: A systematic review. https://ijsra.net/
  18. Park, J., et al. (2014). The Effects of Vision Therapy on ADHD. Journal of Physical Therapy Science. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944293/
  19. Black, K., et al. (2021). Prevalence of Strabismus in Individuals on the Autism Spectrum: A Meta-analysis. Journal of American Association for Pediatric Ophthalmology and Strabismus. https://pubmed.ncbi.nlm.nih.gov/34271101/
  20. Rauch, S. L., van der Kolk, B. A., Fisler, R. E., et al. (1996). A symptom provocation study of posttraumatic stress disorder using positron emission tomography and script-driven imagery. Archives of General Psychiatry. https://pubmed.ncbi.nlm.nih.gov/8624181/
  21. Islam & Roy. (2025). A virtual approach: Systematic review and meta-analysis of virtual reality-based therapies for convergence insufficiency. Journal of Optometry. https://doi.org/10.1016/j.optom.2024.100540
  22. García-Muñoz et al. (2020). Virtual reality gaming increases binocular accommodative facilities in young adults. Journal of Optometry. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628045/
  23. Kourtesis et al. (2023). Vergence dysfunctions and cybersickness. Journal of Applied Physiology. https://pubmed.ncbi.nlm.nih.gov/37624176/
  24. Suyama, S., Date, M., & Takada, H. (2000). Three-Dimensional Display System with Dual-Frequency Liquid-Crystal Varifocal Lens. Japanese Journal of Applied Physics. https://pubmed.ncbi.nlm.nih.gov/25298135/
  25. Lu, X., Chakravarthula, P., et al. (2020). Improved vergence and accommodation via Purkinje Image tracking. ISMAR. https://www.semanticscholar.org/paper/Improved-vergence-and-accommodation-via-Purkinje-AR-Lu-Chakravarthula/b599ebac04a665b68c07251701979a54cfc84eb2
  26. Chakravarthula, P., et al. (2022). Neural Refraction Correction. IEEE International Symposium on Mixed and Augmented Reality (ISMAR). https://scholar.google.es/citations?user=AXtf4AgAAAAJ&hl=iw
  27. Porges, S. W. (2011). The Polyvagal Theory: New insights into adaptive reactions of the autonomic nervous system. Cleveland Clinic Journal of Medicine. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3108032/
 

6. Appendix

 

Appendix A: Convergence Insufficiency Symptom Survey (CISS)

  The CISS is a validated 15-item questionnaire used to quantify the severity of symptoms associated with binocular vision dysfunction. Users rate symptom frequency on a scale from 0 (Never) to 4 (Always).  
  1. Do your eyes feel tired when reading or doing close work?
  2. Do your eyes feel uncomfortable when reading or doing close work?
  3. Do you have headaches when reading or doing close work?
  4. Do you feel sleepy when reading or doing close work?
  5. Do you lose concentration when reading or doing close work?
  6. Do you have trouble remembering what you have read?
  7. Do you have double vision when reading or doing close work?
  8. Do you see the words move, jump, swim, or appear to float on the page when reading or doing close work?
  9. Do you feel like you read slowly?
  10. Do your eyes ever hurt when reading or doing close work?
  11. Do your eyes ever feel sore when reading or doing close work?
  12. Do you feel a “pulling” feeling around your eyes when reading or doing close work?
  13. Do you notice the words blurring or coming in and out of focus when reading or doing close work?
  14. Do you lose your place while reading or doing close work?
  15. Do you have to re-read the same line of text?
 

Appendix B: Simulator Sickness Questionnaire (SSQ)

  The SSQ contains 16 symptoms evaluated on a severity scale (None, Slight, Moderate, Severe) to measure the physiological impact of virtual environments. The symptoms are categorized into Nausea, Oculomotor, and Disorientation profiles.  
  1. General discomfort
  2. Fatigue
  3. Headache
  4. Eye strain
  5. Difficulty focusing
  6. Salivation increasing
  7. Sweating
  8. Nausea
  9. Difficulty concentrating
  10. “Fullness of the head”
  11. Blurred vision
  12. Dizziness with eyes open
  13. Dizziness with eyes closed
  14. Vertigo
  15. Stomach awareness
  16. Burping