10.11.5 Three Dimensional Displays, Viewer Fatigue, Sickness, Comfort, Aesthetics

Lambooij, M., Fortuin, M., Ijsselsteijn, W.A., Evans, B.J., Heynderickx, I.,
Susceptibility to Visual Discomfort of 3-D Displays by Visual Performance Measures,
CirSysVideo(21), No. 12, December 2011, pp. 1913-1923.
IEEE DOI 1112
BibRef

Zilly, F.[Frederik], Kluger, J., Kauff, P.[Peter],
Production Rules for Stereo Acquisition,
PIEEE(99), No. 4, April 2011, pp. 590-606.
IEEE DOI 1103
BibRef

Xing, L., You, J., Ebrahimi, T., Perkis, A.,
Assessment of Stereoscopic Crosstalk Perception,
MultMed(14), No. 2, 2012, pp. 326-337.
IEEE DOI 1204
Quality of experience. BibRef

Jung, Y.J., Sohn, H., Lee, S.I., Speranza, F., Ro, Y.M.,
Visual Importance- and Discomfort Region-Selective Low-Pass Filtering for Reducing Visual Discomfort in Stereoscopic Displays,
CirSysVideo(23), No. 8, 2013, pp. 1408-1421.
IEEE DOI 1308
Humans BibRef

Sohn, H., Jung, Y.J., Lee, S.I., Speranza, F., Ro, Y.M.,
Visual Comfort Amelioration Technique for Stereoscopic Images: Disparity Remapping to Mitigate Global and Local Discomfort Causes,
CirSysVideo(24), No. 5, May 2014, pp. 745-758.
IEEE DOI 1405
Estimation BibRef

Jung, Y.J., Sohn, H., Lee, S.I., Park, H.W., Ro, Y.M.,
Predicting Visual Discomfort of Stereoscopic Images Using Human Attention Model,
CirSysVideo(23), No. 12, 2013, pp. 2077-2082.
IEEE DOI 1312
Computational modeling BibRef

Banks, M.[Martin],
Discomfort and fatigue from stereo 3D displays,
SPIE(Newsroom), April 23, 2013,
DOI Link 1305
Mismatches between the point at which the eyes must converge and the distance to which they must focus when viewing stereoscopic images have negative consequences. BibRef

Stern, A., Yitzhaky, Y., Javidi, B.,
Perceivable Light Fields: Matching the Requirements Between the Human Visual System and Autostereoscopic 3-D Displays,
PIEEE(102), No. 10, October 2014, pp. 1571-1587.
IEEE DOI 1410
display devices BibRef

Park, J., Oh, H., Lee, S., Bovik, A.C.,
3D Visual Discomfort Predictor: Analysis of Disparity and Neural Activity Statistics,
IP(24), No. 3, March 2015, pp. 1101-1114.
IEEE DOI 1502
Dispersion BibRef

Oh, H., Lee, S., Bovik, A.C.,
Stereoscopic 3D Visual Discomfort Prediction: A Dynamic Accommodation and Vergence Interaction Model,
IP(25), No. 2, February 2016, pp. 615-629.
IEEE DOI 1601
Brain modeling BibRef

Oh, H., Ahn, S., Lee, S., Bovik, A.C.,
Deep Visual Discomfort Predictor for Stereoscopic 3D Images,
IP(27), No. 11, November 2018, pp. 5420-5432.
IEEE DOI 1809
feature extraction, feedforward neural nets, learning (artificial intelligence), statistical analysis, proxy ground-truth label BibRef

Jain, A.K., Robinson, A.E., Nguyen, T.Q.,
Comparing Perceived Quality and Fatigue for Two Methods of Mixed Resolution Stereoscopic Coding,
CirSysVideo(24), No. 3, March 2014, pp. 418-429.
IEEE DOI 1404
image coding BibRef

Kim, T.[Taewan], Lee, S.H.[Sang-Hoon], Bovik, A.C.,
Transfer Function Model of Physiological Mechanisms Underlying Temporal Visual Discomfort Experienced When Viewing Stereoscopic 3D Images,
IP(24), No. 11, November 2015, pp. 4335-4347.
IEEE DOI 1509
brain BibRef

Kim, H., Lee, S.,
Transition of Visual Attention Assessment in Stereoscopic Images With Evaluation of Subjective Visual Quality and Discomfort,
MultMed(17), No. 12, December 2015, pp. 2198-2209.
IEEE DOI 1512
Distortion BibRef

Jiang, Q.P.[Qiu-Ping], Shao, F.[Feng], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei], Peng, Z.J.[Zong-Ju], Yu, C.H.[Chang-Hong],
A depth perception and visual comfort guided computational model for stereoscopic 3D visual saliency,
SP:IC(38), No. 1, 2015, pp. 57-69.
Elsevier DOI 1512
3D visual saliency BibRef

Jiang, Q., Shao, F., Lin, W., Jiang, G.,
On Predicting Visual Comfort of Stereoscopic Images: A Learning to Rank Based Approach,
SPLetters(23), No. 2, February 2016, pp. 302-306.
IEEE DOI 1602
Context BibRef

Shao, F., Zhang, Z., Jiang, Q., Lin, W., Jiang, G.,
Toward Domain Transfer for No-Reference Quality Prediction of Asymmetrically Distorted Stereoscopic Images,
CirSysVideo(28), No. 3, March 2018, pp. 573-585.
IEEE DOI 1804
distortion, estimation theory, feature extraction, image classification, image enhancement, no-reference (NR) quality prediction BibRef

Shao, F., Lin, W., Lin, W., Jiang, Q., Jiang, G.,
QoE-Guided Warping for Stereoscopic Image Retargeting,
IP(26), No. 10, October 2017, pp. 4790-4805.
IEEE DOI 1708
image resolution, optimisation, quality of experience, shape recognition, stereo image processing, visual perception, QoE factors, QoE guided warping, S3D display, depth perception preservation, perception preservation energy constraints, reasonable performance optimization, shape preservation, stereoscopic image retargeting methods, target resolution, visual comfort, visual comfort preservation, Distortion, Optimization, Stereo image processing, Visualization, depth perception preservation, shape preservation, stereoscopic image retargeting, visual comfort preservation BibRef

Li, J.[Jian], Chen, C.X.[Chun-Xiao], Liu, Y.P.[Yu-Ping], Chen, X.[Xin],
Small-world brain functional network altered by watching 2D/3DTV,
JVCIR(38), No. 1, 2016, pp. 433-439.
Elsevier DOI 1605
2D/3DTV Difference in fatigue with 3D vs. 2D. BibRef

Terzic, K.[Kasim], Hansard, M.[Miles],
Methods for reducing visual discomfort in stereoscopic 3D: A review,
SP:IC(47), No. 1, 2016, pp. 402-416.
Elsevier DOI 1610
Survey, Stereo Displays. Stereoscopic 3D BibRef

Kim, T., Kim, J., Kim, S., Cho, S., Lee, S.,
Perceptual Crosstalk Prediction on Autostereoscopic 3D Display,
CirSysVideo(27), No. 7, July 2017, pp. 1450-1463.
IEEE DOI 1707
Crosstalk, Entropy, Hardware, Image color analysis, Mutual information, Visualization, 3D contrast, autostereoscopic 3D display, depth entropy, perceptual crosstalk, relative entropy, system crosstalk, visual, entropy BibRef

Oh, H.[Heeseok], Kim, J.[Jong_Yoo], Kim, J.[Jinwoo], Kim, T.[Taewan], Lee, S.H.[Sang-Hoon], Bovik, A.C.[Alan Conrad],
Enhancement of Visual Comfort and Sense of Presence on Stereoscopic 3D Images,
IP(26), No. 8, August 2017, pp. 3789-3801.
IEEE DOI 1707
image enhancement, image filtering, image motion analysis, image resolution, image sensors, optimisation, stereo image processing, 3D saliency strength measure, 3D visual coordinates, AVM, S3D displays, S3D visual signal processing, accommodation vergence mismatches, comfortable 3D viewing experience, content depths, BibRef

Ahn, S.[Sewoong], Kim, W.[Woojae], Kim, J.[Jinwoo], Kim, J.[Jae_Kyung], Lee, S.H.[Sang-Hoon],
Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display,
ICIP18(3548-3552)
IEEE DOI 1809
Visualization, Image color analysis, Geometry, Image resolution, Measurement, Correlation, Cutoff frequency, Visual preference, ultra-high-definition BibRef

Yoon, Y.J.[Yeo-Jin], No, J.[Jaechun], Cho, S.M.[Soo-Mi],
Saliency-Guided Stereo Camera Control for Comfortable VR Explorations,
IEICE(E100-D), No. 9, September 2017, pp. 2245-2248.
WWW Link. 1709
BibRef

Jiang, Q.P.[Qiu-Ping], Shao, F.[Feng], Lin, W.S.[Wei-Si], Jiang, G.Y.[Gang-Yi],
BLIQUE-TMI: Blind Quality Evaluator for Tone-Mapped Images Based on Local and Global Feature Analyses,
CirSysVideo(29), No. 2, February 2019, pp. 323-335.
IEEE DOI 1902
Feature extraction, Visualization, Image color analysis, Dynamic range, Indexes, Image quality, Tone mapping, extreme learning machine BibRef

Shao, F.[Feng], Tian, W., Lin, W.S.[Wei-Si], Jiang, G.Y.[Gang-Yi], Dai, Q.,
Toward a Blind Deep Quality Evaluator for Stereoscopic Images Based on Monocular and Binocular Interactions,
IP(25), No. 5, May 2016, pp. 2059-2074.
IEEE DOI 1604
image capture BibRef

Shao, F., Lin, W., Li, Z., Jiang, G., Dai, Q.,
Toward Simultaneous Visual Comfort and Depth Sensation Optimization for Stereoscopic 3-D Experience,
Cyber(47), No. 12, December 2017, pp. 4521-4533.
IEEE DOI 1712
Convergence, Cybernetics, Feature extraction, Measurement, Optimization, Stereo image processing, Visualization, visual comfort BibRef

Shao, F., Yuan, Q., Lin, W., Jiang, G.,
No-Reference View Synthesis Quality Prediction for 3-D Videos Based on Color-Depth Interactions,
MultMed(20), No. 3, March 2018, pp. 659-674.
IEEE DOI 1802
Distortion, Image color analysis, Measurement, Quality assessment, Stereo image processing, Videos, view synthesis quality prediction BibRef

Hildebrandt, J.[Julian], Schmitz, P.[Patric], Valdez, A.C.[André Calero], Kobbelt, L.[Leif], Ziefle, M.[Martina],
Get Well Soon! Human Factors' Influence on Cybersickness After Redirected Walking Exposure in Virtual Reality,
VAMR18(I: 82-101).
Springer DOI 1807
BibRef

Chen, C.X.[Chun-Xiao], Wang, J.[Jing], Lu, X.[Xiong], Liu, Y.P.[Yu-Pin], Chen, X.[Xin],
Assessment of 3DTV-related fatigue with resting-state fMRI,
SP:IC(64), 2018, pp. 99-106.
Elsevier DOI 1804
3DTV, Resting state, ALFF, Visual fatigue, Recognition function, Modularity BibRef

Kim, H.G., Lim, H., Lee, S., Ro, Y.M.,
VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR Video,
IP(28), No. 4, April 2019, pp. 1646-1660.
IEEE DOI 1901
human factors, learning (artificial intelligence), video signal processing, virtual reality, visual perception, motion mismatch BibRef

Kim, H.G., Jeong, H., Lim, H., Ro, Y.M.,
Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D,
CirSysVideo(29), No. 4, April 2019, pp. 956-967.
IEEE DOI 1904
Visualization, Stereo image processing, Convolution, Training, visual discomfort BibRef

Liu, T.J.[Tsung-Jung], Liu, K.H.[Kuan-Hsien], Shen, K.H.[Kuan-Hung],
Learning based no-reference metric for assessing quality of experience of stereoscopic images,
JVCIR(61), 2019, pp. 272-283.
Elsevier DOI 1906
Disparity-depth map, No reference, Quality of experience, Stereoscopic image, Visual discomfort BibRef

Jiang, Q., Shao, F., Gao, W., Li, H., Ho, Y.,
A Risk-Aware Pairwise Rank Learning Approach for Visual Discomfort Prediction of Stereoscopic 3D,
SPLetters(26), No. 11, November 2019, pp. 1588-1592.
IEEE DOI 1911
feature extraction, human factors, learning (artificial intelligence), regression analysis, risk-aware BibRef

Rowen, A., Grabowski, M., Rancy, J.,
Through the Looking Glass(es): Impacts of Wearable Augmented Reality Displays on Operators in a Safety-Critical System,
HMS(49), No. 6, December 2019, pp. 652-660.
IEEE DOI 1912
Marine vehicles, Visualization, Real-time systems, Human computer interaction, Augmented reality, wearable computers BibRef

Cui, S.N.[Shuai-Nan], Peng, Z.J.[Zong-Ju], Chen, F.[Fen], Zou, W.H.[Wen-Hui], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei],
Blind quality assessment for 3D synthesised video with binocular asymmetric distortion,
IET-IPR(14), No. 6, 11 May 2020, pp. 1027-1034.
DOI Link 2005
BibRef

Kim, W., Lee, S., Bovik, A.C.,
VR Sickness Versus VR Presence: A Statistical Prediction Model,
IP(30), 2021, pp. 559-571.
IEEE DOI 2012
Databases, Predictive models, Visualization, Videos, Solid modeling, Resists, Physiology, VR sickness assessment (VRSA), human visual system (HVS) BibRef

Shin, C.[Cheolmin], Lee, J.H.[Jong-Ha], Yoon, H.K.[Ho-Kyoung], Park, K.W.[Kun-Woo], Han, C.[Changsu], Ko, Y.H.[Young-Hoon],
Impact of 2D and 3D display watching on EEG power spectra: A standardized low-resolution tomography (sLORETA) study,
SP:IC(93), 2021, pp. 116151.
Elsevier DOI 2103
EEG, Fatigue, 3DTV, 3D display, sLORETA BibRef

Zhou, Y.[Ya], Chen, Z.B.[Zhi-Bo], Li, W.P.[Wei-Ping],
Hierarchical visual comfort assessment for stereoscopic image retargeting,
SP:IC(95), 2021, pp. 116236.
Elsevier DOI 2106
Visual comfort assessment, Stereoscopic image retargeting, Hierarchical, Hi-VCA, Hybrid distortion BibRef

Lee, S.[Sangmin], Kim, S.[Seongyeop], Kim, H.G.[Hak Gu], Ro, Y.M.[Yong Man],
Assessing Individual VR Sickness Through Deep Feature Fusion of VR Video and Physiological Response,
CirSysVideo(32), No. 5, May 2022, pp. 2895-2907.
IEEE DOI 2205
Physiology, Feature extraction, Electroencephalography, Electrocardiography, Visualization, Detectors, Brain modeling, physiological response BibRef

Gutiérrez, J.[Jesús], Pérez, P.[Pablo], Orduna, M.[Marta], Singla, A.[Ashutosh], Cortés, C.[Carlos], Mazumdar, P.[Pramit], Viola, I.[Irene], Brunnström, K.[Kjell], Battisti, F.[Federica], Cieplinska, N.[Natalia], Juszka, D.[Dawid], Janowski, L.[Lucjan], Leszczuk, M.[Mikolaj], Adeyemi-Ejeye, A.[Anthony], Hu, Y.[Yaosi], Chen, Z.Z.[Zhen-Zhong], van Wallendael, G.[Glenn], Lambert, P.[Peter], Díaz, C.[César], Hedlund, J.[John], Hamsis, O.[Omar], Fremerey, S.[Stephan], Hofmeyer, F.[Frank], Raake, A.[Alexander], César, P.[Pablo], Carli, M.[Marco], García, N.[Narciso],
Subjective Evaluation of Visual Quality and Simulator Sickness of Short 360° Videos: ITU-T Rec. P.919,
MultMed(24), 2022, pp. 3087-3100.
IEEE DOI 2206
Quality of experience, Quality assessment, Media, Video recording, Resists, ITU, Encoding, Quality of experience, 360 ° video, dataset BibRef

Subudhi, D.[Debadutta], Balaji, P., Muniyandi, M.[Manivannan],
Objective Quantification of Circular Vection in Immersive Environments,
VAMR22(I:261-274).
Springer DOI 2206
BibRef

Dong, J.[Jiong], Ota, K.[Kaoru], Dong, M.[Mianxiong],
Why VR Games Sickness? An Empirical Study of Capturing and Analyzing VR Games Head Movement Dataset,
MultMedMag(29), No. 2, April 2022, pp. 74-82.
IEEE DOI 2208
Games, Magnetic heads, Cybersickness, Virtual reality, Trajectory, Videos BibRef

Lohman, J.[Jesse], Turchet, L.[Luca],
Evaluating Cybersickness of Walking on an Omnidirectional Treadmill in Virtual Reality,
HMS(52), No. 4, August 2022, pp. 613-623.
IEEE DOI 2208
Cybersickness, Legged locomotion, Visualization, Smoothing methods, Standards, Avatars, Foot, Cybersickness, experimental evaluation, virtual reality (VR) BibRef

Buchheit, B.[Benedikt], Schneider, E.N.[Elena N.], Alayan, M.[Mohamad], Dauth, F.[Florian], Strauss, D.J.[Daniel J.],
Motion Sickness Prediction in Self-Driving Cars Using the 6DOF-SVC Model,
ITS(23), No. 8, August 2022, pp. 13582-13591.
IEEE DOI 2208
Automobiles, Predictive models, Task analysis, Vehicle dynamics, Vehicles, Mathematical models, Autonomous automobiles, human factors BibRef

Schneider, E.N.[Elena N.], Buchheit, B.[Benedikt], Flotho, P.[Philipp], Bhamborae, M.J.[Mayur J.], Corona-Strauss, F.I.[Farah I.], Dauth, F.[Florian], Alayan, M.[Mohamad], Strauss, D.J.[Daniel J.],
Electrodermal Responses to Driving Maneuvers in a Motion Sickness Inducing Real-World Driving Scenario,
HMS(52), No. 5, October 2022, pp. 994-1003.
IEEE DOI 2209
Physiology, Correlation, Skin, Heart rate variability, Temperature measurement, Particle measurements, Motion sickness, self-driving cars BibRef

Jun, H.[Hanseul], Miller, M.R.[Mark Roman], Herrera, F.[Fernanda], Reeves, B.[Byron], Bailenson, J.N.[Jeremy N.],
Stimulus Sampling With 360-Videos: Examining Head Movements, Arousal, Presence, Simulator Sickness, and Preference on a Large Sample of Participants and Videos,
AffCom(13), No. 3, July 2022, pp. 1416-1425.
IEEE DOI 2209
Videos, Head, Headphones, Psychology, Media, Virtual reality, Correlation, Stimulus sampling, 360-videos, virtual reality BibRef

Zheng, Y.W.[Ya-Wen], Zhao, X.J.[Xiao-Jie], Yao, L.[Li], Cao, L.[Longbing],
Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment,
SMCS(54), No. 4, April 2024, pp. 2125-2136.
IEEE DOI 2403
Electroencephalography, Brain modeling, Visualization, Convolution, Electrodes, Couplings, Kernel, visual discomfort BibRef

Biswas, N.[Nilotpal], Mukherjee, A.[Anamitra], Bhattacharya, S.[Samit],
'Are you feeling sick?': A systematic literature review of cybersickness in virtual reality,
Surveys(56), No. 11, June 2024, pp. xx-yy.
DOI Link 2408
Survey, Cybersickness. Virtual reality, cybersickness, systematic review, cause, measurement, mitigation, guidelies BibRef

Papaioannou, G.[Georgios], Zhao, L.[Lin], Nybacka, M.[Mikael], Jerrelind, J.[Jenny], Happee, R.[Riender], Drugge, L.[Lars],
Occupants' Motion Comfort and Driver's Feel: An Explorative Study About Their Relation in Remote Driving,
ITS(25), No. 9, September 2024, pp. 11077-11091.
IEEE DOI 2409
Vehicles, Steering systems, Measurement, Remote control, Poles and towers, Motion sickness, Adaptive control, driver feel BibRef

Vatsal, R.[Ritik], Mishra, S.[Shrivatsa], Thareja, R.[Rushil], Chakrabarty, M.[Mrinmoy], Sharma, O.[Ojaswa], Shukla, J.[Jainendra],
An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen Gaming,
AffCom(15), No. 3, July 2024, pp. 1696-1710.
IEEE DOI 2409
Physiology, Games, Biomedical monitoring, Virtual reality, Emotional responses, Brain modeling, Affective computing, games BibRef

Zhang, Y.H.[Ya-Hui], Zhao, H.H.[Hao-Han], Hu, C.[Chuan], Tian, Y.[Yang], Li, Y.[Ying], Jiao, X.H.[Xiao-Hong], Wen, G.L.[Gui-Lin],
Mitigation of Motion Sickness and Optimization of Motion Comfort in Autonomous Vehicles: Systematic Survey,
ITS(25), No. 12, December 2024, pp. 21737-21756.
IEEE DOI 2412
Motion sickness, Mathematical models, Prevention and mitigation, Reviews, Autonomous vehicles, Computational modeling, Gravity, comfort-oriented BibRef

Liu, Y.Q.[Yu-Qing], Jiang, A.[Ao], Dong, J.[Junbo],
Recovery Effect of Different Virtual Natural Environments on Stress in Short-term Isolation Tasks,
VAMR23(634-648).
Springer DOI 2307
BibRef

Reddy, G.S.R.[G. S. Rajshekar], Spencer, C.A.[Cara A.], Durkee, K.[Kevin], Cox, B.[Brennan], Cotton, O.F.[Olivia Fox], Meyer, S.G.S.[Sheila Galbreath. Sarah], Natali, M.[Michael], Seech, T.[Todd], Severe-Valsaint, G.[Gabriella], Zimmerman, G.[Gavin], Hirshfield, L.[Leanne],
Estimating Cognitive Load and Cybersickness of Pilots in VR Simulations via Unobtrusive Physiological Sensors,
VAMR22(II:251-269).
Springer DOI 2206
BibRef

Igoshina, E.[Elizaveta], Russo, F.A.[Frank A.], Haycock, B.[Bruce], Keshavarz, B.[Behrang],
Comparing the Effect of Airflow Direction on Simulator Sickness and User Comfort in a High-Fidelity Driving Simulator,
VAMR22(II:208-220).
Springer DOI 2206
BibRef

Suzuki, R.[Ryota], Sato, T.[Tomomi], Iwata, K.[Kenji], Satoh, Y.[Yutaka],
Omnidirectional Flick View,
VAMR21(395-414).
Springer DOI 2108
dynamic field of view, to reduce VR sickness. BibRef

Kuo, P.C.[Po-Chen], Chuang, L.C.[Li-Chung], Lin, D.Y.[Dong-Yi], Lee, M.S.[Ming-Sui],
VR Sickness Assessment with Perception Prior and Hybrid Temporal Features,
ICPR21(5558-5564)
IEEE DOI 2105
Solid modeling, Dynamics, Virtual reality, Predictive models, Feature extraction, random forest BibRef

Kim, S., Lee, S., Ro, Y.M.,
Estimating VR Sickness Caused By Camera Shake in VR Videography,
ICIP20(3433-3437)
IEEE DOI 2011
Cameras, Encoding, Electrocardiography, Physiology, Electroencephalography, Visualization, Optical sensors, deep learning BibRef

Lee, S.[Sangmin], Kim, J.U.[Jung Uk], Kim, H.G.[Hak Gu], Kim, S.Y.[Seong-Yeop], Ro, Y.M.[Yong Man],
Saca Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding,
ECCV20(XXIII:170-186).
Springer DOI 2011
BibRef

Lee, S., Kim, S., Kim, H.G., Kim, M.S.[M. Seob], Yun, S., Jeong, B., Ro, Y.M.,
Physiological Fusion Net: Quantifying Individual VR Sickness with Content Stimulus and Physiological Response,
ICIP19(440-444)
IEEE DOI 1910
Virtual reality, individual sickness, content stimulus, physiological response BibRef

Kim, K., Lee, S., Kim, H.G., Park, M., Ro, Y.M.,
Deep Objective Assessment Model Based on Spatio-Temporal Perception of 360-Degree Video for VR Sickness Prediction,
ICIP19(3192-3196)
IEEE DOI 1910
Virtual reality, VR sickness assessment, deep learning, spatial resolution, spatio-temporal perception BibRef

Boyle, S., Zhang, F., Bull, D.R.,
A Subjective Study of Viewing Experience for Drone Videos Using Simulated Content,
ICIP19(1034-1038)
IEEE DOI 1910
Drone cinematography, Multidrone, and optimal drone parameter BibRef

Bockelman, P.S.[Patricia S.], Milliard, S.[Sharlin], Salemirad, M.[Matin], Valderrama, J.[Jonathan], Smith, E.[Eileen],
Design Implications from Cybersickness and Technical Interactions in Virtual Reality,
VAMR19(I:403-415).
Springer DOI 1909
BibRef

Ito, K.[Kodai], Tada, M.[Mitsunori], Ujike, H.[Hiroyasu], Hyodo, K.[Keiichiro],
Effects of Weight and Balance of Head Mounted Display on Physical Load,
VAMR19(I:450-460).
Springer DOI 1909
BibRef

Kaufeld, M.[Mara], Alexander, T.[Thomas],
The Impact of Motion on Individual Simulator Sickness in a Moving Base VR Simulator with Head-Mounted Display (HMD),
VAMR19(I:461-472).
Springer DOI 1909
BibRef

Rebenitsch, L.[Lisa], Quinby, B.[Breanna],
Cybersickness and Postural Sway Using HMD Orientation,
VAMR19(I:500-509).
Springer DOI 1909
BibRef

Lavrushkin, S., Vatolin, D.,
Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network,
3DTV-CON18(1-4)
IEEE DOI 1812
convolution, feedforward neural nets, probability, regression analysis, stereo image processing, convolutional neural networks BibRef

Rangelova, S.[Stanislava], Decker, D.[Daniel], Eckel, M.[Marc], Andre, E.[Elisabeth],
Simulation Sickness Evaluation While Using a Fully Autonomous Car in a Head Mounted Display Virtual Environment,
VAMR18(I: 155-167).
Springer DOI 1807
BibRef

Moreno, F.[Felipe], Zuanon, R.[Rachel],
Game Design and Neuroscience Cooperation: Perspectives to Cybersickness Reduction in Head Mounted Displays Experiences,
DHM18(308-325).
Springer DOI 1807
BibRef

Antsiferova, A., Vatolin, D.,
The influence of 3D video artifacts on discomfort of 302 viewers,
IC3D17(1-8)
IEEE DOI 1804
electroencephalography, image sequences, medical image processing, stereo image processing, stereo-video quality BibRef

Yilmaz, G.N.,
A depth perception evaluation metric for immersive 3D video services,
3DTV-CON17(1-4)
IEEE DOI 1804
image filtering, image resolution, image sequences, quality of experience, stereo image processing, structural complexity BibRef

Ogawa, M.[Masanori], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
Hyperlapse generation of omnidirectional videos by adaptive sampling based on 3D camera positions,
ICIP17(2124-2128)
IEEE DOI 1803
Watching a omnidirectional video. Cameras, Cost function, Estimation, Sensors, Trajectory, Videos, Hyperlapse, Timelapse BibRef

Jeong, H., Kim, H.G., Ro, Y.M.,
Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention,
ICIP17(715-719)
IEEE DOI 1803
Correlation, Feature extraction, Machine learning, Stereo image processing, Transfer functions, Visual systems, stereoscopic images BibRef

Carvalho, P.[Paulo], Miyagawa, T.[Taynah], Maciel, F.[Fran], Melo, P.[Paulo],
VR Rio 360: The Challenges of Motion Sickness in VR Environments,
VAMR17(495-504).
Springer DOI 1712
BibRef

Ihemedu-Steinke, Q.C.[Quinate Chioma], Halady, P.[Prashanth], Meixner, G.[Gerrit], Weber, M.[Michael],
VR Evaluation of Motion Sickness Solution in Automated Driving,
VAMR18(I: 112-125).
Springer DOI 1807
BibRef

Ihemedu-Steinke, Q.C.[Quinate Chioma], Rangelova, S.[Stanislava], Weber, M.[Michael], Erbach, R.[Rainer], Meixner, G.[Gerrit], Marsden, N.[Nicola],
Simulation Sickness Related to Virtual Reality Driving Simulation,
VAMR17(521-532).
Springer DOI 1712
BibRef

Rebenitsch, L.[Lisa], Owen, C.[Charles],
Evaluating Factors Affecting Virtual Reality Display,
VAMR17(544-555).
Springer DOI 1712
BibRef

Bokov, A., Lavrushkin, S., Erofeev, M., Vatolin, D., Fedorov, A.,
Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video,
IC3D16(1-7)
IEEE DOI 1703
photodetectors BibRef

Chen, Y., Liu, N., Zhai, G., Gu, K., Wang, J., Gao, Z., Zhu, Y.,
Quality assessment for dual-view display system,
VCIP16(1-4)
IEEE DOI 1701
Complexity theory BibRef

Martins, V.F.[Valéria Farinazzo], Sampaio, P.N.M.[Paulo N. M.], da S. Mendes, F.[Fernanda], Lima, A.S.[André Santos], de Paiva Guimarães, M.[Marcelo],
Usability and Functionality Assessment of an Oculus Rift in Immersive and Interactive Systems Using Voice Commands,
VAMR16(222-232).
Springer DOI 1608
BibRef

Ng, A.K.T.[Adrian K.T.], Chan, L.K.Y.[Leith K.Y.], Lau, H.Y.K.[Henry Y.K.],
Depth Perception in Virtual Environment: The Effects of Immersive System and Freedom of Movement,
VAMR16(173-183).
Springer DOI 1608
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Keshavarz, B.[Behrang],
Exploring Behavioral Methods to Reduce Visually Induced Motion Sickness in Virtual Environments,
VAMR16(147-155).
Springer DOI 1608
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Hottong, N., Becker, S., Beuck, S.,
Evaluation of observers' sensitivity to lens distortion discrepancies in stereoscopic moving pictures,
IC3D15(1-9)
IEEE DOI 1603
aberrations BibRef

Ebrahimi, E., Altenhoff, B.M., Pagano, C.C., Babu, S.V.,
Carryover effects of calibration to visual and proprioceptive information on near field distance judgments in 3D user interaction,
3DUI15(97-104)
IEEE DOI 1511
calibration BibRef

Jung, C.[Cheolkon], Liu, H.M.[Hong-Min], Cui, Y.[Yu],
Visual comfort assessment for stereoscopic 3D images based on salient discomfort regions,
ICIP15(4047-4051)
IEEE DOI 1512
Stereoscopic 3D BibRef

Oh, H.[Heeseok], Kim, J.Y.[Jong-Yoo], Lee, S.H.[Sang-Hoon], Bovik, A.C.[Alan.C.],
3D visual discomfort predictor based on neural activity statistics,
ICIP15(3560-3564)
IEEE DOI 1512
middle temporal; neural activity; visual discomfort assessment BibRef

Qi, F.[Feng], Fan, X.P.[Xiao-Peng], Zhao, D.B.[De-Bin], Jiang, T.T.[Ting-Ting], Zhang, J.[Jian],
A visual comfort assessment metric for stereoscopic images,
ICIP15(2601-2605)
IEEE DOI 1512
Visual discomfort BibRef

Akimov, D., Shestov, A., Voronov, A., Vatolin, D.,
Automatic left-right channel swap detection,
IC3D12(1-6)
IEEE DOI 1503
image sequences Evaluation of stereo video quality. BibRef

Atallah, P., Pelah, A., Wilkins, A.,
Visual stress symptoms from stereoscopic television,
IC3D12(1-7)
IEEE DOI 1503
stereo image processing BibRef

Matsuura, S.,
Misperception of rotational motion images displayed with and without stereoscopy,
IC3D13(1-6)
IEEE DOI 1503
Brownian motion BibRef

Liu, Y.[Yong],
The oval sphere vs. the flat canvas,
IC3D13(1-8)
IEEE DOI 1503
image reconstruction Aesthetics of 3D vs. 2D cinema. BibRef

Fitter, B.,
The relationship of pixel parallax to audience emotional response,
IC3D13(1-6)
IEEE DOI 1503
emotion recognition BibRef

Tamboli, R.[Roopak], Vupparaboina, K.K.[Kiran Kumar], Ready, J.[Jayanth], Jana, S.[Soumya], Channappayya, S.[Sumohana],
A subjective evaluation of true 3D images,
IC3D14(1-8)
IEEE DOI 1503
Cameras BibRef

Vienne, C., Mamassian, P., Doyen, D., Blonde, L.,
Perception of stereo at different vergence distances: Implications for realism,
IC3D12(1-8)
IEEE DOI 1503
rendering (computer graphics) BibRef

Cho, H.[Hohyun], Kang, M.K.[Min-Koo], Yoon, K.J.[Kuk-Jin], Jun, S.C.[Sung Chan],
Feasibility study for visual discomfort assessment on stereo images using EEG,
IC3D12(1-6)
IEEE DOI 1503
electroencephalography BibRef

Luo, A.C.[An-Chun], Huang, W.J.[Wei-Jia], Chen, W.C.[Wen-Chao], Lin, C.W.[Chung-Wei], Chen, S.W.[Sei-Wang],
A stereoscopic content analysis system with visual discomfort-aware,
IC3D12(1-8)
IEEE DOI 1503
random processes BibRef

Hendrickx, E., Paquier, M., Koehl, V.,
Should a movie have two different soundtracks for its stereoscopic and non-stereoscopic versions? A study on the front/rear balance,
IC3D13(1-7)
IEEE DOI 1503
cinematography BibRef

Benzeroual, K., Allison, R.S.,
Cyber (motion) sickness in active stereoscopic 3D gaming,
IC3D13(1-7)
IEEE DOI 1503
computer games BibRef

Fitter, B.,
Big S small 3D: What makes stereoscopic video so compelling?,
IC3D12(1-5)
IEEE DOI 1503
cognition BibRef

Ryana, L., MacKenziea, K.J., Watta, S.J.,
Multiple-focal-planes 3D displays: A practical solution to the vergence-accommodation conflict?,
IC3D12(1-6)
IEEE DOI 1503
focal planes BibRef

Barreda-Angeles, M.[Miguel], Pepion, R.[Romuald], Bosc, E.[Emilie], Le Callet, P.[Patrick], Pereda-Banos, A.[Alexandre],
Exploring the effects of 3D visual discomfort on viewers' emotions,
ICIP14(753-757)
IEEE DOI 1502
BibRef
Earlier:
How visual discomfort affects 3DTV viewers' emotional arousal,
3DTV-CON14(1-4)
IEEE DOI 1409
Atmospheric measurements. psychology BibRef

Cho, S.H.[Sang-Hyun], Kang, H.B.[Hang-Bong],
Prediction of visual discomfort in watching 3D video using multiple features,
Southwest14(65-68)
IEEE DOI 1406
ergonomics BibRef

Dorado, J.L., Figueroa, P.A.,
Methods to reduce cybersickness and enhance presence for in-place navigation techniques,
3DUI15(145-146)
IEEE DOI 1511
BibRef
Earlier:
Ramps are better than stairs to reduce cybersickness in applications based on a HMD and a Gamepad,
3DUI14(47-50)
IEEE DOI 1406
human computer interaction. ergonomics BibRef

Zeng, M.L.[Meng-Lin], Azartash, H.[Haleh], Nguyen, T.[Truong],
Crosstalk modeling in circularly polarized stereoscopic LCDS,
ICIP14(3464-3468)
IEEE DOI 1502
Crosstalk BibRef

Banitalebi-Dehkordi, A.[Amin], Pourazad, M.T.[Mahsa T.], Nasiopoulos, P.[Panos],
Effect of eye dominance on the perception of stereoscopic 3D video,
ICIP14(3469-3473)
IEEE DOI 1502
Bit rate BibRef

Yuan, H.Y.[Hai-Yue], Calic, J.[Janko], Kondoz, A.[Ahmet],
Quality of interaction experience in stereoscopic 3D TV,
ICIP14(748-752)
IEEE DOI 1502
BibRef
Earlier:
Facilitating interaction with stereoscopic 3D display devices,
3DTV-CON14(1-4)
IEEE DOI 1409
Fatigue. display devices BibRef

Bruder, G., Steinicke, F., Sturzlinger, W.,
Effects of visual conflicts on 3D selection task performance in stereoscopic display environments,
3DUI13(115-118)
IEEE DOI 1406
gesture recognition BibRef

Paulus, J., Michelson, G., Barkowsky, M., Hornegger, J., Eskofier, B., Schmidt, M.,
Measurement of Individual Changes in the Performance of Human Stereoscopic Vision for Disparities at the Limits of the Zone of Comfortable Viewing,
3DV13(310-317)
IEEE DOI 1311
stereo image processing BibRef

Cho, S.H.[Sang-Hyun], Kang, H.B.[Hang-Bong],
A New Saliency Detection Method for Stereoscopic Images Using Contrast and Prior Knowledge,
CIARP14(778-786).
Springer DOI 1411
BibRef
Earlier:
A New Visual Comfort-Based Stereoscopic Image Retargeting Method,
ISVC13(I:290-300).
Springer DOI 1310
BibRef
Earlier:
An Assessment of Visual Discomfort Caused by Motion-in-Depth in Stereoscopic 3D Video,
BMVC12(65).
DOI Link 1301
BibRef

Vlad, R.[Raluca], Nahorna, O.[Olha], Ladret, P.[Patricia], Guerin, A.[Anne],
The influence of the visualization task on the simulator sickness symptoms: A comparative SSQ study on 3DTV and 3D immersive glasses,
3DTV-CON13(1-4)
IEEE DOI 1309
3D glasses BibRef

Banitalebi-Dehkordi, A.[Amin], Pourazad, M.T.[Mahsa T.], Nasiopoulos, P.[Panos],
A human visual system-based 3D video quality metric,
IC3D12(1-5)
IEEE DOI 1503
BibRef
Earlier:
A study on the relationship between depth map quality and the overall 3D video quality of experience,
3DTV-CON13(1-4)
IEEE DOI 1309
3D TV image colour analysis BibRef

Oh, H.[Heeseok], Lee, S.H.[Sang-Hoon],
Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video,
3DTV12(1-4).
IEEE DOI 1212
BibRef

Choi, J.H.[Ji-Hoon], Yun, M.J.[Min-Joo], Kim, A.R.[A-Ran], Kim, J.O.[Jong-Ok],
Visual comfort measurement for 2D/3D converted stereo video sequence,
3DTV12(1-4).
IEEE DOI 1212
BibRef

Cho, S.H.[Sang-Hyun], Kang, H.B.[Hang-Bong],
The measurement of eyestrain caused from diverse binocular disparities, viewing time and display sizes in watching stereoscopic 3D content,
3DCINE12(23-28).
IEEE DOI 1207
BibRef

Nur, G., Dogan, S., Arachchi, H.K.[H. Kodikara], Kondoz, A.M.,
Impact of depth map spatial resolution on 3D video quality and depth perception,
3DTV10(1-4).
IEEE DOI 1006
BibRef

Jumisko-Pyykko, S., Utriainen, T., Strohmeier, D., Boev, A., Kunze, K.,
Simulator sickness: Five experiments using autostereoscopic mid-sized or small mobile screens,
3DTV10(1-4).
IEEE DOI 1006
BibRef

Choi, J.[Jaeseob], Kim, D.H.[Dong-Hyun], Ham, B.[Bumsub], Choi, S.[Sunghwan], Sohn, K.H.[Kwang-Hoon],
Visual fatigue evaluation and enhancement for 2D-plus-depth video,
ICIP10(2981-2984).
IEEE DOI 1009
3D displays are hard to look at for very long (fatigue). Predict degree of fatigue. BibRef

Han, H.[Heechul], Sohn, K.H.[Kwang-Hoon],
Arbitrary Object Relighting with Complex Pattern Texture for Reducing Eye Fatigue and Improving Perceived Depth,
3DTV08(217-220).
IEEE DOI 0805
BibRef

Li, H.C.O.[Hyung-Chul O.], Seo, J.H.[Jun-Ho], Kham, K.[Keetaek], Lee, S.H.[Seung-Hyun],
Measurement of 3D Visual Fatigue Using Event-Related Potential (ERP): 3D Oddball Paradigm,
3DTV08(213-216).
IEEE DOI 0805
BibRef

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Holographic Displays, Holograms, Three Dimensional Visualization .