Skip to main content

Advertisement

Log in

Effect of display platforms on spatial knowledge acquisition and engagement: an evaluation with 3D geometry visualizations

  • Regular Paper
  • Published:
Journal of Visualization Aims and scope Submit manuscript

Abstract

With the recent rapid development of display technologies, interactive visualizations have become increasingly important to enhance content exploration in various domains, including learning. Desktop displays, mobile tablet multi-touch displays, and, more recently, virtual reality head-mounted displays have become readily accessible devices for interacting with visualizations. Despite their widespread use, it is still unclear how the type of device can influence the presentation of, interaction with, and learning from interactive visualizations. In this research, we have designed and conducted an experiment to evaluate the effects of these types of devices in the exploration of mathematical visualizations. An interactive visualization tool is designed and implemented with 3D geometry as our testbed. Our goal is to gain a better understanding of the effects of device types on supporting analytical reasoning with interactive visualizations. In general, our results indicate that the tool in all three types of devices can be equally efficient and engaging in interactive learning activities. We discuss the findings and suggestions based on the experiment results in the discussion.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Allcoat D, van Mühlenen A (2018) Learning in virtual reality: effects on performance, emotion and engagement. Res Learn Technol. https://doi.org/10.25304/rlt.v26.2140

    Article  Google Scholar 

  • Arms L, Cook D, Cruz-Neira C (1999) The benefits of statistical visualization in an immersive environment. In: Proceedings IEEE virtual reality (Cat. No. 99CB36316), IEEE. pp 88–95

  • Bach B, Sicat R, Beyer J, Cordeil M, Pfister H (2017) The hologram in my hand: how effective is interactive exploration of 3d visualizations in immersive tangible augmented reality? IEEE Trans Vis Comput Graph 24(1):457–467

    Article  Google Scholar 

  • Baki A, Kosa T, Guven B (2011) A comparative study of the effects of using dynamic geometry software and physical manipulatives on the spatial visualisation skills of pre-service mathematics teachers. Br J Educ Technol 42(2):291–310

    Article  Google Scholar 

  • Ballas JA, Heitmeyer CL, Pérez-Quiñones MA (1992) Evaluating two aspects of direct manipulation in advanced cockpits. In: Proceedings of the SIGCHI conference on human factors in computing systems. pp 127–134

  • Barab S, Thomas M, Dodge T, Carteaux R, Tuzun H (2005) Making learning fun: quest Atlantis, a game without guns. Educ Technol Res Dev 53(1):86–107

    Article  Google Scholar 

  • Bergström J, Dalsgaard TS, Alexander J, Hornbæk K (2021) How to evaluate object selection and manipulation in vr? Guidelines from 20 years of studies. In: Proceedings of the 2021 CHI conference on human factors in computing systems, CHI ’21. Association for computing machinery, New York, NY, USA. https://doi.org/10.1145/3411764.3445193

  • Besancon L, Ynnerman A, Keefe DF, Yu L, Isenberg T (2021) The state of the art of spatial interfaces for 3d visualization. Comput Graph Forum 40(1):293–326. https://doi.org/10.1111/cgf.14189

    Article  Google Scholar 

  • Bowman DA, McMahan RP (2007) Virtual reality: How much immersion is enough? Computer 40(7):36–43

    Article  Google Scholar 

  • Bryson C, Hand L (2007) The role of engagement in inspiring teaching and learning. Innov Educ Teach Int 44(4):349–362

    Article  Google Scholar 

  • Cai Y, Tay CT, Ngo BK (2013) Introduction to 3d immersive and interactive learning. In: Cai Y (ed) 3D immersive and interactive learning. Springer, Berlin, pp 1–16

    Chapter  Google Scholar 

  • Card M (1999) Readings in information visualization: using vision to think. Morgan Kaufmann, Burlington

    Google Scholar 

  • Chariker JH, Naaz F, Pani JR (2011) Computer-based learning of neuroanatomy: a longitudinal study of learning, transfer, and retention. J Educ Psychol 103(1):19

    Article  Google Scholar 

  • Chen C (2004) Information visualization: beyond the horizon. Springer Science & Business Media, Berlin

    Google Scholar 

  • Chen L, Liang HN, Lu F, Papangelis K, Man KL, Yue Y (2020) Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices. Hum Cent Comput Inf Sci 10(1):1–24

    Article  Google Scholar 

  • Chen L, Liang HN, Lu F, Wang J, Chen W, Yue Y (2021) Effect of collaboration mode and position arrangement on immersive analytics tasks in virtual reality: a pilot study. Appl Sci. https://doi.org/10.3390/app112110473

    Article  Google Scholar 

  • Chen L, Liang HN, Wang J, Qu Y, Yue Y (2021) On the use of large interactive displays to support collaborative engagement and visual exploratory tasks. Sensors. https://doi.org/10.3390/s21248403

    Article  Google Scholar 

  • Chittaro L (2006) Visualizing information on mobile devices. Computer 39(3):40–45

    Article  Google Scholar 

  • Chuah MC, Roth SF (1996) On the semantics of interactive visualizations. In: Proceedings IEEE symposium on information visualization’96, IEEE. pp 29–36

  • Cobb SV, Nichols S, Ramsey A, Wilson JR (1999) Virtual reality-induced symptoms and effects (VRISE). Presence Teleoperators Virtual Environ 8(2):169–186

    Article  Google Scholar 

  • Cohen CA, Hegarty M (2014) Visualizing cross sections: training spatial thinking using interactive animations and virtual objects. Learn Individ Differ 33:63–71

    Article  Google Scholar 

  • Computer versus smartphone. https://www.computerhope.com/issues/ch001398.htm. Accessed 05 2022

  • Cruz-Neira C, Sandin DJ, DeFanti TA (1993) Surround-screen projection-based virtual reality: the design and implementation of the cave. In: Proceedings of the 20th annual conference on computer graphics and interactive techniques. pp 135–142

  • Elmqvist N, Tsigas P (2008) A taxonomy of 3d occlusion management for visualization. IEEE Trans Vis Comput Graph 14(5):1095–1109

    Article  Google Scholar 

  • Gagatsis A, Shiakalli M (2004) Ability to translate from one representation of the concept of function to another and mathematical problem solving. Educ Psychol 24(5):645–657

    Article  Google Scholar 

  • Garg AX, Norman GR, Eva KW, Spero L, Sharan S (2002) Is there any real virtue of virtual reality? The minor role of multiple orientations in learning anatomy from computers. Acad Med 77(10):S97–S99

    Article  Google Scholar 

  • Gruchalla K (2004) Immersive well-path editing: investigating the added value of immersion. In: IEEE virtual reality, IEEE. pp 157–164

  • Hancock MS (2004) Improving menu placement strategies for pen input. PhD thesis, University of British Columbia

  • Heath TL et al (1956) The thirteen books of Euclid’s elements. Courier Corporation, North Chelmsford

    MATH  Google Scholar 

  • Hoffman H, Vu D (1997) Virtual reality: Teaching tool of the twenty-first century? Acad Med J Assoc Am Med Coll 72(12):1076–1081

    Article  Google Scholar 

  • HSM C (1991) Regular complex polytopes

  • Hundhausen CD, Douglas SA, Stasko JT (2002) A meta-study of algorithm visualization effectiveness. J Vis Lang Comput 13(3):259–290

    Article  Google Scholar 

  • Hung YH, Parsons P (2017) Assessing user engagement in information visualization. In: Proceedings of the 2017 CHI conference extended abstracts on human factors in computing systems. pp 1708–1717

  • Hwang WY, Hu SS (2013) Analysis of peer learning behaviors using multiple representations in virtual reality and their impacts on geometry problem solving. Comput Educ 62:308–319

    Article  Google Scholar 

  • Jonassen DH (2006) Modeling with technology: mindtools for conceptual change. Prentice Hall, Hoboken

    Google Scholar 

  • Kasik DJ, Troy JJ, Amorosi SR, Murray MO, Swamy SN (2002) Evaluating graphics displays for complex 3d models. IEEE Comput Graph Appl 22(3):56–64

    Article  Google Scholar 

  • Liang HN, Sedig K (2009) Characterizing navigation in interactive learning environments. Interact Learn Environ 17(1):53–75

    Article  Google Scholar 

  • Liang HN, Sedig K (2010a) Can interactive visualization tools engage and support pre-university students in exploring non-trivial mathematical concepts? Comput Educ 54(4):972–991

  • Liang HN, Sedig K (2010b) Role of interaction in enhancing the epistemic utility of 3d mathematical visualizations. Int J Comput Math Learn 15:191–224. https://doi.org/10.1007/s10758-010-9165-7

  • Luo Y, Wang J, Shi R, Liang HN, Luo S (2022) In-device feedback in immersive head-mounted displays for distance perception during teleoperation of unmanned ground vehicles. IEEE Trans Haptics 15(1):79–84. https://doi.org/10.1109/TOH.2021.3138590

    Article  Google Scholar 

  • Luo Y, Wang J, Liang HN, Luo S, Lim EG (2021) Monoscopic versus stereoscopic views and display types in the teleoperation of unmanned ground vehicles for object avoidance. In: 2021 30th IEEE international conference on robot human interactive communication (RO-MAN). pp 418–425. https://doi.org/10.1109/RO-MAN50785.2021.9515455

  • Lu F, Yu D, Liang HN, Chen W, Papangelis K, Ali NM (2018) Evaluating engagement level and analytical support of interactive visualizations in virtual reality environments. In: 2018 IEEE international symposium on mixed and augmented reality (ISMAR), pp 143–152. https://doi.org/10.1109/ISMAR.2018.00050

  • Monteiro D, Liang HN, Xu W, Brucker M, Nanjappan V, Yue Y (2018) Evaluating enjoyment, presence, and emulator sickness in vr games based on first- and third- person viewing perspectives. Computer Animation and Virtual Worlds, 29(3-4):e1830. e1830 cav.1830. https://doi.org/10.1002/cav.1830

  • Nanjappan V, Liang HN, Lu F, Papangelis K, Yue Y, Man KL (2018) User-elicited dual-hand interactions for manipulating 3d objects in virtual reality environments. Hum Centric Comput Inf Sci 8(1):1–16. https://doi.org/10.1186/s13673-018-0154-5

    Article  Google Scholar 

  • Naps TL, Rößling G, Almstrum V, Dann W, Fleischer R, Hundhausen C, Korhonen A, Malmi L, McNally M, Rodger S, et al (2002) Exploring the role of visualization and engagement in computer science education. In: Working group reports from ITiCSE on Innovation and technology in computer science education. pp 131–152

  • Perlin K, Fox D (1993) Pad: an alternative approach to the computer interface. In: Proceedings of the 20th annual conference on Computer graphics and interactive techniques. pp 57–64

  • Petersson H, Sinkvist D, Wang C, Smedby Ö (2009) Web-based interactive 3d visualization as a tool for improved anatomy learning. Anat Sci Educ 2(2):61–68

    Article  Google Scholar 

  • Portmann S, Lüthi HP (2000) Molekel: an interactive molecular graphics tool: computational chemistry column. Chimia 54(12):766–766

    Article  Google Scholar 

  • Psotka J (1995) Immersive training systems: virtual reality and education and training. Instr Sci 23(5):405–431

    Article  Google Scholar 

  • Pugh A (1976) Polyhedra: a visual approach. University of California Press, Berkeley

    Book  MATH  Google Scholar 

  • Rauber PE, Fadel SG, Falcao AX, Telea AC (2016) Visualizing the hidden activity of artificial neural networks. IEEE Trans Vis Comput Graph 23(1):101–110

    Article  Google Scholar 

  • Rheingold H (1991) Virtual reality: exploring the brave new technologies. Simon & Schuster Adult Publishing Group, New York

    Google Scholar 

  • Roberts JC (2007) State of the art: coordinated & multiple views in exploratory visualization. In: Fifth international conference on coordinated and multiple views in exploratory visualization (CMV 2007), IEEE. pp 61–71

  • Roberts JC, Ritsos PD, Badam SK, Brodbeck D, Kennedy J, Elmqvist N (2014) Visualization beyond the desktop-the next big thing. IEEE Comput Graph Appl 34(6):26–34

    Article  Google Scholar 

  • Ruddle RA, Payne SJ, Jones DM (1999) Navigating large-scale virtual environments: What differences occur between helmet-mounted and desk-top displays? Presence 8(2):157–168

    Article  Google Scholar 

  • Scott DM (1992) Envisioning information

  • Sedig K, Liang HN (2006) Interactivity of visual mathematical representations: factors affecting learning and cognitive processes. J Interact Learn Res 17(2):179–212

    Google Scholar 

  • Sedig K, Rowhani S, Morey J, Liang H-N (2003) Application of information visualization techniques to the design of a mathematical mindtool: a usability study. Inf Vis 2(3):142–159

    Article  Google Scholar 

  • Sedig K, Rowhani S, Liang H-N (2005) Designing interfaces that support formation of cognitive maps of transitional processes: an empirical study. Interact Comput 17(4):419–452

    Article  Google Scholar 

  • Sedig K, Parsons P, Liang HN, Morey J (2016) Supporting sensemaking of complex objects with visualizations: visibility and complementarity of interactions. Informatics. https://doi.org/10.3390/informatics3040020

    Article  Google Scholar 

  • Sedig K, Parsons P, Liang HN, Morey J (2016) Supporting sensemaking of complex objects with visualizations: visibility and complementarity of interactions. In: Bryant A (ed) Informatics, vol 3. Multidisciplinary Digital Publishing Institute, Basel City, p 20

    Google Scholar 

  • Sharples S, Cobb S, Moody A, Wilson JR (2008) Virtual reality induced symptoms and effects (VRISE): comparison of head mounted display (HMD), desktop and projection display systems. Displays 29(2):58–69

    Article  Google Scholar 

  • Shneiderman B (1991) Touch screens now offer compelling uses. IEEE Softw 8(2):93–94

    Article  Google Scholar 

  • Shneiderman B (2003) Why not make interfaces better than 3d reality? IEEE Comput Graph Appl 23(6):12–15

    Article  Google Scholar 

  • Smallman HS, John MS, Oonk HM, Cowen MB (2001) Information availability in 2d and 3d displays. IEEE Comput Graph Appl 21(5):51–57

    Article  Google Scholar 

  • Spence R (2007) Information visualization-design for interaction

  • Spence R (1999) A framework for navigation. Int J Hum Comput Stud 51(5):919–945

    Article  Google Scholar 

  • Spence R (2001) Information visualization, vol 1. Springer, Berlin

    Google Scholar 

  • St. John M, Cowen MB, Smallman HS, Oonk HM (2001) The use of 2d and 3d displays for shape-understanding versus relative-position tasks. Hum Factors 43(1):79–98

    Article  Google Scholar 

  • Swindells C, Po BA, Hajshirmohammadi I, Corrie B, Dill JC, Fisher BD, and Booth KS (2004) Comparing cave, wall, and desktop displays for navigation and wayfinding in complex 3d models. In: Proceedings computer graphics international, IEEE. pp 420–427

  • Thomas BH, Demczuk V (2002) Which animation effects improve indirect manipulation? Interact Comput 14(3):211–229

    Article  Google Scholar 

  • Tory M, Kirkpatrick AE, Atkins MS, Moller T (2005) Visualization task performance with 2d, 3d, and combination displays. IEEE Trans Vis Comput Graph 12(1):2–13

    Article  Google Scholar 

  • Vogel D, Casiez G (2012) Hand occlusion on a multi-touch tabletop. In: Proceedings of the SIGCHI conference on human factors in computing systems. pp 2307–2316

  • Wang X, Monteiro D, Lee L-H, Hui P, Liang H-N (2022) Vibroweight: Simulating weight and center of gravity changes of objects in virtual reality for enhanced realism. In: 2022 IEEE haptics symposium (HAPTICS), pp 1–7. https://doi.org/10.1109/HAPTICS52432.2022.9765609

  • Wenz S (2009) Beyond-the-desktop interactive visualizations. Trends Inf Vis 54

  • Wilkinson L (2012) The grammar of graphics. In: Wilkinson L (ed) Handbook of computational statistics. Springer, Berlin, pp 375–414

    Chapter  Google Scholar 

  • Xia J, Lin W, Jiang G, Wang Y, Chen W, Schreck T (2021) Visual clustering factors in scatterplots. IEEE Comput Graph Appl 41(5):79–89

    Article  Google Scholar 

  • Xia J, Zhang Y, Song J, Chen Y, Wang Y, Liu S (2021) Revisiting dimensionality reduction techniques for visual cluster analysis: an empirical study. IEEE Trans Vis Comput Graph 28(1):529–539

    Article  Google Scholar 

  • Xiao R, Benko H (2016) Augmenting the field-of-view of head-mounted displays with sparse peripheral displays. In: Proceedings of the 2016 CHI conference on human factors in computing systems. pp 1221–1232

  • Xu W,Liang HN, Yu K, Baghaei N (2021) Effect of gameplay uncertainty, display type, and age on virtual reality exergames. In: Proceedings of the 2021 CHI conference on human factors in computing systems, CHI ’21. Association for computing machinery, New York, NY, USA. https://doi.org/10.1145/3411764.3445801

  • Yeh AJC (2007) Knowledge construction of 3D geometry in virtual reality microworlds. PhD thesis, Queensland University of Technology

  • Yoo HY, Cheon SH (2006) Visualization by information type on mobile device. In: Proceedings of the 2006 Asia-Pacific symposium on information visualisation-volume 60, Citeseer. pp 143–146

  • Yu L, Ouwerling J, Svetachov P, van Hoesel F, van Ooijen P, Kosinka J (2022) Velight: a 3d virtual reality tool for CT based anatomy teaching and training. J Vis 25:293–306. https://doi.org/10.1007/s12650-021-00790-y

    Article  Google Scholar 

  • Yuan J, Chen C, Yang W, Liu M, Xia J, Liu S (2021) A survey of visual analytics techniques for machine learning. Comput Vis Media 7(1):3–36

    Article  Google Scholar 

  • Yu D, Lu X, Shi R, Liang HN, Dingler T, Velloso E, Goncalves J (2021) Gaze-supported 3d object manipulation in virtual reality. CHI ’21. Association for computing machinery, New York, NY, USA. https://doi.org/10.1145/3411764.3445343

Download references

Acknowledgements

The work was supported in part by Xi’an Jiaotong-Liverpool University (XJTLU) Key Special Fund (#KSF-A-03) and XJTLU Research Development Fund (#RDF-19-02-11 and #RDF-17-01-54.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hai-Ning Liang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The author conducted this research while affiliated with Xi’an Jiaotong-Liverpool University.

A Appendix

A Appendix

1.1 A.1 Semi-structured interview questions

  • What do you like/dislike about using (Desktop/Tablet/VR) to interact with the visualizations?

  • What do you like/dislike about using (Desktop/Tablet/VR) to solve (Landmark/Route/Survey) questions?

  • What do you dislike about using (STM/Dot/Rotate/Enlarge/Dynamic-linking) function to interact with the visualizations?

1.2 A.2 Sample questions in pre/post-questionnaires for each question type

See Figures 11, 12 and 13.

Fig. 11
figure 11

Sample question for Landmark knowledge

Fig. 12
figure 12

Sample question for Route knowledge

Fig. 13
figure 13

Sample question for Survey knowledge

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, F., Nanjappan, V., Parsons, P. et al. Effect of display platforms on spatial knowledge acquisition and engagement: an evaluation with 3D geometry visualizations. J Vis 26, 667–686 (2023). https://doi.org/10.1007/s12650-022-00889-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12650-022-00889-w

Keywords

Navigation