Julius von Willich
Sebastian Günther
Andrii Matviienko
Martin Schmitz
Florian Müller
Max Mühlhäuser
ABSTRACT
Research has proposed various interaction techniques to manage the occlusion of 3D data in Virtual Reality (VR), e.g., via gradual refinement. However, tracking dynamically moving data in a dense 3D environment poses the challenge of ever-changing occlusion, especially if motion carries relevant information, which is lost in still images. In this paper, we evaluated two interaction modalities for Spatial Dense Dynamic Data (SDDD), adapted from existing interaction methods for static and spatial data. We evaluated these modalities for exploring SDDD in VR, in an experiment with 18 participants. Furthermore, we investigated the influence of our interaction modalities on different levels of data density on the users’ performance in a no-knowledge task and a prior-knowledge task. Our results indicated significantly degraded performance for higher levels of density. Further, we found that our flashlight-inspired modality successfully improved tracking in SDDD, while a cutting plane-inspired approach was more suitable for highlighting static volumes of interest, particularly in such high-density environments.
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- Ferran Argelaguet and Carlos Andujar. 2009. Efficient 3D pointing selection in cluttered virtual environments. IEEE Computer Graphics and Applications 29, 6 (2009), 34–43.Google Scholar
Cross Ref
- Benjamin Avery, Christian Sandor, and Bruce H. Thomas. 2009. Improving Spatial Perception for Augmented Reality X-Ray Vision. In 2009 IEEE Virtual Reality Conference. Institute of Electrical and Electronics Engineers (IEEE), 79–82. https://doi.org/10.1109/vr.2009.4811002Google ScholarCross Ref
- Benjamin Bach, Ronell Sicat, Johanna Beyer, Maxime Cordeil, and Hanspeter Pfister. 2018. The Hologram in My Hand: How Effective is Interactive Exploration of 3D Visualizations in Immersive Tangible Augmented Reality?IEEE Transactions on Visualization and Computer Graphics 24, 1 (jan 2018), 457–467. https://doi.org/10.1109/TVCG.2017.2745941Google ScholarCross Ref
- Ryan Bane and Tobias Höllerer. 2004. Interactive tools for virtual X-ray vision in mobile augmented reality. In ISMAR 2004: Proceedings of the Third IEEE and ACM International Symposium on Mixed and Augmented Reality. 231–239. https://doi.org/10.1109/ISMAR.2004.36Google ScholarDigital Library
- Rebecca Bennett, David J. Zielinski, and Regis Kopper. 2014. Comparison of interactive environments for the archaeological exploration of 3D landscape data. In 2014 IEEE VIS International Workshop on 3DVis (3DVis). 67–71. https://doi.org/10.1109/3DVis.2014.7160103Google ScholarCross Ref
- Nicholas Brunhart-Lupo, Brian W. Bush, Kenny Gruchalla, and Steve Smith. 2017. Simulation exploration through immersive parallel planes. In 2016 Workshop on Immersive Analytics, IA 2016. Institute of Electrical and Electronics Engineers Inc., 19–24. https://doi.org/10.1109/IMMERSIVE.2016.7932377Google ScholarCross Ref
- Stuart K. Card, Jock D. Mackinlay, and Ben Shneiderman. 1999. Readings in information visualization: using vision to think. Morgan Kaufmann Publishers. 686 pages. https://dl.acm.org/citation.cfm?id=300679Google ScholarDigital Library
- Robert Carnecky, Raphael Fuchs, Stephanie Mehl, Yun Jang, and Ronald Peikert. 2013. Smart transparency for illustrative visualization of complex flow surfaces. IEEE Transactions on Visualization and Computer Graphics 19, 5 (2013), 838–851. https://doi.org/10.1109/TVCG.2012.159Google ScholarDigital Library
- Jeffrey Cashion, Chadwick Wingrave, and Joseph J. Laviola. 2012. Dense and dynamic 3D selection for game-based virtual environments. IEEE Transactions on Visualization and Computer Graphics 18, 4 (apr 2012), 634–642. https://doi.org/10.1109/TVCG.2012.40Google ScholarDigital Library
- Arpan Chakraborty, Kyung Wha Hong, Ryan Gross, Jae Yeol Lee, Shea McIntee, and Robert St. Amant. 2014. CAPTIVE: A cube with augmented physical tools. In Conference on Human Factors in Computing Systems - Proceedings. 1315–1320. https://doi.org/10.1145/2559206.2581340Google ScholarDigital Library
- Zhutian Chen, Yifang Wang, Tianchen Sun, Xiang Gao, Wei Chen, Zhigeng Pan, Huamin Qu, and Yingcai Wu. 2017. Exploring the design space of immersive urban analytics. Visual Informatics 1, 2 (jun 2017), 132–142. https://doi.org/10.1016/j.visinf.2017.11.002Google ScholarCross Ref
- Zhutian Chen, Wei Zeng, Zhiguang Yang, Lingyun Yu, Chi Wing Fu, and Huamin Qu. 2020. LassoNet: Deep Lasso-Selection of 3D Point Clouds. IEEE Transactions on Visualization and Computer Graphics 26, 1 (2020), 195–204. https://doi.org/10.1109/TVCG.2019.2934332 arxiv:1907.13538Google ScholarDigital Library
- Jacob Cohen. 1988. Statistical Power Analysis for the Behavioral Sciences. Routledge. https://doi.org/10.4324/9780203771587Google ScholarCross Ref
- Maxime Cordeil, Benjamin Bach, Andrew Cunningham, Bastian Montoya, Ross T. Smith, Bruce H. Thomas, and Tim Dwyer. 2020. Embodied Axes: Tangible, Actuated Interaction for 3D Augmented Reality Data Spaces. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Vol. 20. 1–12. https://doi.org/10.1145/3313831.3376613Google ScholarDigital Library
- Maxime Cordeil, Benjamin Bach, Yongchao Li, Elliott Wilson, and Tim Dwyer. 2017. Design space for spatio-data coordination: Tangible interaction devices for immersive information visualisation. In IEEE Pacific Visualization Symposium. IEEE Computer Society, 46–50. https://doi.org/10.1109/PACIFICVIS.2017.8031578Google ScholarCross Ref
- Maxime Cordeil, Andrew Cunningham, Tim Dwyer, Bruce H Thomas, and Kim Marriott. 2017. ImAxes: Immersive axes as embodied affordances for interactive multivariate data visualisation. In UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. 71–83. https://doi.org/10.1145/3126594.3126613Google ScholarDigital Library
- Ciro Donalek, S. G. Djorgovski, Alex Cioc, Anwell Wang, Jerry Zhang, Elizabeth Lawler, Stacy Yeh, Ashish Mahabal, Matthew Graham, Andrew Drake, Scott Davidoff, Jeffrey S. Norris, and Giuseppe Longo. 2015. Immersive and collaborative data visualization using virtual reality platforms. Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014 (jan 2015), 609–614. https://doi.org/10.1109/BIGDATA.2014.7004282Google ScholarCross Ref
- Achref Doula, Tobias Güdelhöfer, Andrii Matviienko, Max Mühlhäuser, and Alejandro Sanchez Guinea. 2022. Immersive-Labeler: Immersive Annotation of Large-Scale 3D Point Clouds in Virtual Reality. In ACM SIGGRAPH 2022 Posters. 1–2.Google ScholarDigital Library
- Achref Doula, Tobias Güdelhöfer, Andrii Matviienko, Max Mühlhäuser, and Alejandro Sanchez Guinea. 2023. PointCloudLab: An Environment for 3D Point Cloud Annotation with Adapted Visual Aids and Levels of Immersion. In 2023 IEEE International Conference on Robotics and Automation (ICRA). 11640–11646. https://doi.org/10.1109/ICRA48891.2023.10160225Google ScholarCross Ref
- Emmanuel Dubois and Adrien Hamelin. 2017. Worm Selector: Volume Selection in a 3D Point Cloud Through Adaptive Modelling. International Journal of Virtual Reality 17, 1 (jan 2017), 1–20. https://doi.org/10.20870/ijvr.2017.17.1.2884Google ScholarCross Ref
- Niklas Elmqvist, Ulf Assarsson, and Philippas Tsigas. 2007. Employing dynamic transparency for 3D occlusion management: Design issues and evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4662 LNCS. Springer Verlag, 532–545. https://doi.org/10.1007/978-3-540-74796-3_54Google ScholarCross Ref
- Mustafa Tolga Eren and Selim Balcisoy. 2018. Evaluation of X-ray visualization techniques for vertical depth judgments in underground exploration. Visual Computer 34, 3 (mar 2018), 405–416. https://doi.org/10.1007/s00371-016-1346-5Google ScholarDigital Library
- Gwendal Fouché, Ferran Argelaguet, Emmanuel Faure, and Charles Kervrann. 2023. Immersive and interactive visualization of 3D spatio-temporal data using a space time hypercube: Application to cell division and morphogenesis analysis. Frontiers in Bioinformatics 3 (2023), 998991.Google ScholarCross Ref
- Tovi Grossman and Ravin Balakrishnan. 2005. The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor’s activation area. In Proceedings of the SIGCHI conference on Human factors in computing systems. 281–290.Google ScholarDigital Library
- Tovi Grossman and Ravin Balakrishnan. 2008. The design and evaluation of selection techniques for 3D volumetric displays. In UIST 2006: Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology. ACM Press, New York, New York, USA, 3–12. https://doi.org/10.1145/1166253.1166257Google ScholarDigital Library
- Sandra G. Hart. 2006. Nasa-Task Load Index (NASA-TLX); 20 Years Later. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50, 9 (oct 2006), 904–908. https://doi.org/10.1177/154193120605000909Google ScholarCross Ref
- Bret Jackson, Brighten Jelke, and Gabriel Brown. 2018. Yea Big, Yea High: A 3D User Interface for Surface Selection by Progressive Refinement in Virtual Environments. In 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings. 320–326. https://doi.org/10.1109/VR.2018.8447559Google ScholarCross Ref
- Denis Kalkofen, Erick Mendez, and Dieter Schmalstieg. 2009. Comprehensible visualization for augmented reality. In IEEE Transactions on Visualization and Computer Graphics, Vol. 15. 193–204. https://doi.org/10.1109/TVCG.2008.96Google ScholarDigital Library
- H. Kato, K. Tachibana, M. Tanabe, T. Nakajima, and Y. Fukuda. 2003. MagicCup: A tangible interface for virtual objects manipulation in table-top augmented reality. In ART 2003 - IEEE International Augmented Reality Toolkit Workshop. Institute of Electrical and Electronics Engineers Inc., 75–76. https://doi.org/10.1109/ART.2003.1320434Google ScholarCross Ref
- Richard A. Ketcham. 2005. Computational methods for quantitative analysis of three-dimensional features in geological specimens. Geosphere 1, 1 (aug 2005), 32–41. https://doi.org/10.1130/GES00001.1Google ScholarCross Ref
- Oh-Hyun Kwon, Chris Muelder, Kyungwon Lee, and Kwan-Liu Ma. 2016. A Study of Layout, Rendering, and Interaction Methods for Immersive Graph Visualization. IEEE Transactions on Visualization and Computer Graphics 22, 7 (jul 2016), 1802–1815. https://doi.org/10.1109/TVCG.2016.2520921Google ScholarDigital Library
- Andras Lasso, Hannah H. Nam, Patrick V. Dinh, Csaba Pinter, Jean Christophe Fillion-Robin, Steve Pieper, Sankhesh Jhaveri, Jean Baptiste Vimort, Ken Martin, Mark Asselin, Francis X. McGowan, Ron Kikinis, Gabor Fichtinger, and Matthew A. Jolley. 2018. Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality. Journal of the American Society of Echocardiography 31, 10 (oct 2018), 1158–1160. https://doi.org/10.1016/J.ECHO.2018.06.011/ATTACHMENT/B318E870-25B8-40CF-BD15-D0FBD762F2DD/MMC1.MP4Google ScholarCross Ref
- Benjamin Lee, Dave Brown, Bongshin Lee, Christophe Hurter, Steven Drucker, and Tim Dwyer. 2021. Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality. IEEE Transactions on Visualization and Computer Graphics 27, 2 (2021), 1095–1105. https://doi.org/10.1109/TVCG.2020.3030435Google ScholarCross Ref
- Klemen Lilija, Henning Pohl, Sebastian Boring, and Kasper Hornbæk. 2019. Augmented reality views for occluded interaction. In Conference on Human Factors in Computing Systems - Proceedings. ACM, 12. https://doi.org/10.1145/3290605.3300676Google ScholarDigital Library
- Daniel Simões Lopes, Daniel Medeiros, Soraia Figueiredo Paulo, Pedro Brasil Borges, Vitor Nunes, Vasco Mascarenhas, Marcos Veiga, and Joaquim Armando Jorge. 2018. Interaction techniques for immersive CT colonography: A Professional assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11071 LNCS. Springer Verlag, 629–637. https://doi.org/10.1007/978-3-030-00934-2_70Google ScholarDigital Library
- Ursula Luna, Pilar Rivero, and Naiara Vicent. 2019. Augmented reality in heritage apps: Current trends in Europe. Applied Sciences 9, 13 (2019), 2756.Google ScholarCross Ref
- Tom Meyer and Al Globus. 1993. Direct manipulation of isosurfaces and cutting planes in virtual environments. Department of Computer Science, Brown University (1993).Google ScholarDigital Library
- Patrick Millais, Simon L. Jones, and Ryan Kelly. 2018. Exploring data in virtual reality: Comparisons with 2d data visualizations. Conference on Human Factors in Computing Systems - Proceedings 2018-April (apr 2018). https://doi.org/10.1145/3170427.3188537Google ScholarDigital Library
- Jules Moloney, Branka Spehar, Anastasia Globa, and Rui Wang. 2018. The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight. Journal of Big Data 5, 1 (dec 2018). https://doi.org/10.1186/s40537-018-0158-zGoogle ScholarCross Ref
- Roberto A. Montano-Murillo, Cuong Nguyen, Rubaiat Habib Kazi, Sriram Subramanian, Stephen DiVerdi, and Diego Martinez-Plasencia. 2020. Slicing-Volume: Hybrid 3D/2D Multi-target Selection Technique for Dense Virtual Environments. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). Institute of Electrical and Electronics Engineers (IEEE), 53–62. https://doi.org/10.1109/vr46266.2020.00023Google ScholarCross Ref
- Andrew Moran, Vijay Gadepally, Matthew Hubbell, and Jeremy Kepner. 2015. Improving Big Data visual analytics with interactive virtual reality. In 2015 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 1–6. https://doi.org/10.1109/HPEC.2015.7322473Google ScholarCross Ref
- Annette Mossel and Christian Koessler. 2016. Large Scale Cut Plane: An Occlusion Management Technique for Immersive Dense 3D Reconstructions. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, Vol. 02-04-Nove. Association for Computing Machinery, 201–210. https://doi.org/10.1145/2993369.2993384Google ScholarDigital Library
- Annette Mossel and Christian Koessler. 2016. Large scale cut plane: An occlusion management technique for immersive dense 3D reconstructions. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, Vol. 02-04-Nove. Association for Computing Machinery, 201–210. https://doi.org/10.1145/2993369.2993384Google ScholarDigital Library
- Florian Müller, Niloofar Dezfuli, Max Mühlhäuser, Martin Schmitz, and Mohammadreza Khalilbeigi. 2015. Palm-Based Interaction with Head-mounted Displays. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct(MobileHCI ’15). ACM, Copenhagen Denmark, 963–965. https://doi.org/10.1145/2786567.2794314Google ScholarDigital Library
- Kaya Okada, Mitsuo Yoshida, Takayuki Itoh, Tobias Czauderna, and Kingsley Stephens. 2019. VR system for spatio-temporal visualization of tweet data and support of map exploration. Multimedia Tools and Applications (aug 2019). https://doi.org/10.1007/s11042-019-08016-yGoogle ScholarCross Ref
- Krzysztof Pietroszek, James R. Wallace, and Edward Lank. 2015. Tiltcasting: 3D interaction on large displays using a mobile device. In UIST 2015 - Proceedings of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 57–62. https://doi.org/10.1145/2807442.2807471Google ScholarDigital Library
- Arnaud Prouzeau, Maxime Cordeil, Clement Robin, Barrett Ens, Bruce H Thomas, and Tim Dwyer. 2019. Scaptics and Highlight-Planes: Immersive Interaction Techniques for Finding Occluded Features in 3D Scatterplots. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 12. https://doi.org/10.1145/3290605.3300555Google ScholarDigital Library
- Hannah K Ricketts, Alexa M Salsbury, David R Bevan, and Anne M Brown. [n.d.]. Using Immersive Visualization Environments to Engage Students in Hands-On Learning. ([n. d.]). https://doi.org/10.1145/3219104.3229274Google ScholarDigital Library
- Brett Ridel, Patrick Reuter, Jeremy Laviole, Nicolas Mellado, Nadine Couture, and Xavier Granier. 2014. The Revealing Flashlight: Interactive Spatial Augmented Reality for Detail Exploration of Cultural Heritage Artifacts. J. Comput. Cult. Herit. 7, 2, Article 6 (jun 2014), 18 pages. https://doi.org/10.1145/2611376Google ScholarDigital Library
- Daniel Alejandro Winkler Rosa and Hubert Hoffmann Nagel. 2010. Selection techniques for dense and occluded virtual 3D environments, supported by depth feedback. Double, bound and depth bubble cursors. In Proceedings - International Conference of the Chilean Computer Science Society, SCCC. IEEE Computer Society, 218–225. https://doi.org/10.1109/SCCC.2010.51Google ScholarDigital Library
- Gerhard Schall, Erick Mendez, Ernst Kruijff, Eduardo Veas, Sebastian Junghanns, Bernhard Reitinger, and Dieter Schmalstieg. 2009. Handheld Augmented Reality for underground infrastructure visualization. Personal and Ubiquitous Computing 13, 4 (jun 2009), 281–291. https://doi.org/10.1007/s00779-008-0204-5Google ScholarDigital Library
- Ramiro Serrano-Vergel, Pedro Morillo, Sergio Casas-Yrurzum, and Carolina Cruz-Neira. 2023. Exploring the Suitability of Using Virtual Reality and Augmented Reality for Anatomy Training. IEEE Transactions on Human-Machine Systems (2023).Google ScholarCross Ref
- Guihua Shan, Maojin Xie, An Li, Yang Gao, and Xuebin Chi. 2014. Interactive visual exploration of halos in large-scale cosmology simulation. Journal of Visualization (2014). https://doi.org/10.1007/s12650-014-0206-5Google ScholarDigital Library
- Shashi Shekhar, Zhe Jiang, Reem Y Ali, Emre Eftelioglu, Xun Tang, Venkata MV Gunturi, and Xun Zhou. 2015. Spatiotemporal data mining: A computational perspective. ISPRS International Journal of Geo-Information 4, 4 (2015), 2306–2338.Google ScholarCross Ref
- Rongkai Shi, Jialin Zhang, Yong Yue, Lingyun Yu, and Hai-Ning Liang. 2023. Exploration of Bare-Hand Mid-Air Pointing Selection Techniques for Dense Virtual Reality Environments. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1–7.Google Scholar
- Alireza Sahami Shirazi, Christian Winkler, and Albrecht Schmidt. 2009. Flashlight Interaction: A Study on Mobile Phone Interaction Techniques with Large Displays. In Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (Bonn, Germany) (MobileHCI ’09). Association for Computing Machinery, New York, NY, USA, Article 93, 2 pages. https://doi.org/10.1145/1613858.1613965Google ScholarDigital Library
- Jonathan C. Silverstein and Fred Dech. 2005. Precisely Exploring Medical Models and Volumes in Collaborative Virtual Reality. Presence: Teleoperators and Virtual Environments 14, 1 (Feb. 2005), 47–59. https://doi.org/10.1162/1054746053890233Google ScholarDigital Library
- Maurício Sousa, Daniel Mendes, Soraia Paulo, Nuno Matela, Joaquim Jorge, and Daniel Simões Lopes. 2017. Vrrrroom: Virtual reality for radiologists in the reading room. In Proceedings of the 2017 CHI conference on human factors in computing systems. 4057–4062.Google ScholarDigital Library
- Margot van Deursen, Laura Reuvers, Jacobus Dylan Duits, Guido de Jong, Marianne van den Hurk, and Dylan Henssen. 2021. Virtual reality and annotated radiological data as effective and motivating tools to help Social Sciences students learn neuroanatomy. Scientific Reports 2021 11:1 11, 1 (jun 2021), 1–10. https://doi.org/10.1038/s41598-021-92109-yGoogle ScholarCross Ref
- Lode Vanacken, Tovi Grossman, and Karin Coninx. 2007. Exploring the effects of environment density and target visibility on object selection in 3D virtual environments. In IEEE Symposium on 3D User Interfaces 2007 - Proceedings, 3DUI 2007. 115–122. https://doi.org/10.1109/3DUI.2007.340783Google ScholarCross Ref
- Ramiro Serrano Vergel, Pedro Morillo Tena, Sergio Casas Yrurzum, and Carolina Cruz-Neira. 2020. A comparative evaluation of a virtual reality table and a HoloLens-based augmented reality system for anatomy training. IEEE Transactions on Human-Machine Systems 50, 4 (2020), 337–348.Google ScholarCross Ref
- Julius Von Willich, Andrii Matviienko, Sebastian Günther, and Max Mühlhäuser. 2022. Comparing VR Exploration Support for Ground-Based Rescue Robots. In Adjunct Publication of the 24th International Conference on Human-Computer Interaction with Mobile Devices and Services (Vancouver, BC, Canada) (MobileHCI ’22). Association for Computing Machinery, New York, NY, USA, Article 26, 6 pages. https://doi.org/10.1145/3528575.3551440Google ScholarDigital Library
- Senzhang Wang, Jiannong Cao, and S Yu Philip. 2020. Deep learning for spatio-temporal data mining: A survey. IEEE transactions on knowledge and data engineering 34, 8 (2020), 3681–3700.Google ScholarCross Ref
- Yang Wang, Mohit Gupta, Song Zhang, Sen Wang, Xianfeng Gu, Dimitris Samaras, and Peisen Huang. 2008. High resolution tracking of non-rigid motion of densely sampled 3D data using harmonic maps. International Journal of Computer Vision 76, 3 (2008), 283–300.Google ScholarDigital Library
- Ivo Wolf, Marcus Vetter, Ingmar Wegner, Thomas Böttger, Marco Nolden, Max Schöbinger, Mark Hastenteufel, Tobias Kunert, and Hans Peter Meinzer. 2005. The medical imaging interaction toolkit. Medical Image Analysis 9, 6 (dec 2005), 594–604. https://doi.org/10.1016/j.media.2005.04.005Google ScholarCross Ref
- Huiyue Wu, Xiaoxuan Sun, Huawei Tu, and Xiaolong Zhang. 2023. ClockRay: A Wrist-Rotation based Technique for Occluded-Target Selection in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics (2023).Google Scholar
- Difeng Yu, Qiushi Zhou, Joshua Newn, Tilman Dingler, Eduardo Velloso, and Jorge Goncalves. 2020. Fully-occluded target selection in virtual reality. IEEE transactions on visualization and computer graphics 26, 12 (2020), 3402–3413.Google ScholarCross Ref
- Lingyun Yu, Konstantinos Efstathiou, Petra Isenberg, and Tobias Isenberg. 2012. Efficient structure-aware selection techniques for 3D point cloud visualizations with 2DOF input. IEEE Transactions on Visualization and Computer Graphics 18, 12 (2012), 2245–2254. https://doi.org/10.1109/TVCG.2012.217Google ScholarDigital Library
- Lingyun Yu, Konstantinos Efstathiou, Petra Isenberg, and Tobias Isenberg. 2016. CAST: Effective and Efficient User Interaction for Context-Aware Selection in 3D Particle Clouds. IEEE Transactions on Visualization and Computer Graphics 22, 1 (jan 2016), 886–895. https://doi.org/10.1109/TVCG.2015.2467202Google ScholarDigital Library
- Stefanie Zollmann, Raphael Grasset, Gerhard Reitmayr, and Tobias Langlotz. 2014. Image-based X-ray visualization techniques for spatial understanding in outdoor augmented reality. In Proceedings of the 26th Australian Computer-Human Interaction Conference, OzCHI 2014. 194–203. https://doi.org/10.1145/2686612.2686642Google ScholarDigital Library
Index Terms
- DensingQueen: Exploration Methods for Spatial Dense Dynamic Data
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