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Exploring Users Pointing Performance on Large Displays with Different Curvatures in Virtual Reality (2310.06296v1)

Published 10 Oct 2023 in cs.HC

Abstract: Large curved displays inside Virtual Reality environments are becoming popular for visualizing high-resolution content during analytical tasks, gaming or entertainment. Prior research showed that such displays provide a wide field of view and offer users a high level of immersion. However, little is known about users' performance (e.g., pointing speed and accuracy) on them. We explore users' pointing performance on large virtual curved displays. We investigate standard pointing factors (e.g., target width and amplitude) in combination with relevant curve-related factors, namely display curvature and both linear and angular measures. Our results show that the less curved the display, the higher the performance, i.e., faster movement time. This result holds for pointing tasks controlled via their visual properties (linear widths and amplitudes) or their motor properties (angular widths and amplitudes). Additionally, display curvatures significantly affect the error rate for both linear and angular conditions. Furthermore, we observe that curved displays perform better or similar to flat displays based on throughput analysis. Finally, we discuss our results and provide suggestions regarding pointing tasks on large curved displays in VR.

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References (71)
  1. A research on curved display comparing to flat display regarding posture, tilt angle, focusing area and satisfaction. Journal of the Ergonomics Society of Korea, 33(3):191–202, 2014. doi: 10 . 5143/jesk . 2014 . 33 . 3 . 191
  2. H. Akaike. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6):716–723, 1974. doi: 10 . 1109/TAC . 1974 . 1100705
  3. Information visualization on large, high-resolution displays: Issues, challenges, and opportunities. Information Visualization, 10(4):341–355, 2011. doi: 10 . 1177/1473871611415997
  4. Interaction with large displays: A survey. ACM Comput. Surv., 47(3), feb 2015. doi: 10 . 1145/2682623
  5. Effect of stereo deficiencies on virtual distal pointing. In Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology, VRST ’22. Association for Computing Machinery, New York, NY, USA, 2022. doi: 10 . 1145/3562939 . 3565621
  6. Do head-mounted display stereo deficiencies affect 3d pointing tasks in ar and vr? In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), pp. 585–592, 2019. doi: 10 . 1109/VR . 2019 . 8797975
  7. A. U. Batmaz and W. Stuerzlinger. Effect of fixed and infinite ray length on distal 3d pointing in virtual reality. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI EA ’20, p. 1–10. ACM, USA, 2020. doi: 10 . 1145/3334480 . 3382796
  8. Multimodel inference: Understanding aic and bic in model selection. Sociological Methods & Research, 33(2):261–304, 2004. doi: 10 . 1177/0049124104268644
  9. A large curved display system in virtual reality for immersive data interaction. In 2019 IEEE Games, Entertainment, Media Conference (GEM), pp. 1–4, 2019. doi: 10 . 1109/GEM . 2019 . 8811550
  10. Peephole pointing: Modeling acquisition of dynamically revealed targets. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’08, p. 1699–1708. ACM, USA, 2008. doi: 10 . 1145/1357054 . 1357320
  11. Evaluation of mouse, rate-controlled isometric joystick, step keys, and text keys for text selection on a crt. Ergonomics, 21(8):601–613, 1978. doi: 10 . 1080/00140137808931762
  12. Dataspace: A reconfigurable hybrid reality environment for collaborative information analysis. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), pp. 145–153, 2019. doi: 10 . 1109/VR . 2019 . 8797733
  13. Interacting with the big screen: Pointers to ponder. In CHI ’02 Extended Abstracts on Human Factors in Computing Systems, CHI EA ’02, p. 678–679. ACM, USA, 2002. doi: 10 . 1145/506443 . 506542
  14. 53.2: Visual search and attention: What eye-tracking reveals about visual performance in the curved display. In SID symposium digest of technical papers, vol. 46, pp. 798–801. Wiley Online Library, 2015.
  15. Wriarm: Leveraging wrist movement to design wrist+arm based teleportation in vr. In 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 317–325, 2022. doi: 10 . 1109/ISMAR55827 . 2022 . 00047
  16. E. Crossman. The speed and accuracy of simple hand movements. The nature and acquisition of industrial skills, 1957.
  17. E. R. Crossman. The measurement of perceptual load in manual operations. PhD thesis, University of Birmingham, 1956.
  18. Toward characterizing the productivity benefits of very large displays. In Interact, vol. 3, pp. 9–16, 2003.
  19. J. Davis and X. Chen. Lumipoint: multi-user laser-based interaction on large tiled displays. Displays, 23(5):205–211, 2002. doi: 10 . 1016/S0141-9382(02)00039-2
  20. Moving ahead with peephole pointing: Modelling object selection with head-worn display field of view limitations. In Proc. of the 2016 Symposium on Spatial User Interaction, SUI ’16, p. 107–110. ACM, USA, 2016. doi: 10 . 1145/2983310 . 2985756
  21. P. M. Fitts. The information capacity of the human motor system in controlling the amplitude of movement. Journal of experimental psychology, 47(6):381, 1954. doi: 10 . 1037/h0055392
  22. P. M. Fitts. The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology: General, 121(3):262, 1992. doi: 10 . 1037/0096-3445 . 121 . 3 . 262
  23. Google. Firebase realtime database: store and sync data in real time, 2023. Retrieved January 15, 2023 from https://firebase.google.com/products/realtime-database.
  24. Speed-accuracy tradeoff: A formal information-theoretic transmission scheme (fitts). ACM Trans. Comput.-Hum. Interact., 25(5), sep 2018. doi: 10 . 1145/3231595
  25. T. Grossman and R. Balakrishnan. Pointing at trivariate targets in 3d environments. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’04, p. 447–454. ACM, USA, 2004. doi: 10 . 1145/985692 . 985749
  26. A fitts’ law study of click and dwell interaction by gaze, head and mouse with a head-mounted display. In Proc. of the Workshop on Communication by Gaze Interaction, COGAIN ’18. ACM, USA, 2018. doi: 10 . 1145/3206343 . 3206344
  27. Myopoint: Pointing and clicking using forearm mounted electromyography and inertial motion sensors. In Proc. of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, p. 3653–3656. ACM, USA, 2015. doi: 10 . 1145/2702123 . 2702133
  28. Investigating pointing tasks across angularly coupled display areas. In P. Kotzé, G. Marsden, G. Lindgaard, J. Wesson, and M. Winckler, eds., Human-Computer Interaction – INTERACT 2013, pp. 720–727. Springer Berlin Heidelberg, Berlin, Heidelberg, 2013. doi: 10 . 1007/978-3-642-40483-2_50
  29. E. R. HOFFMANN. Effective target tolerance in an inverted fitts task. Ergonomics, 38(4):828–836, 1995. doi: 10 . 1080/00140139508925153
  30. Performance in one-, two- and three-dimensional terminal aiming tasks. Ergonomics, 54(12):1175–1185, 2011. PMID: 22103725. doi: 10 . 1080/00140139 . 2011 . 614356
  31. Effect of varying target height in a fitts’ movement task. Ergonomics, 37(6):1071–1088, 1994.
  32. J. P. Hourcade and N. Bullock-Rest. How small can you go? analyzing the effect of visual angle in pointing tasks. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’12, p. 213–216. ACM, USA, 2012. doi: 10 . 1145/2207676 . 2207706
  33. I. ISO. 9241-9 ergonomic requirements for office work with visual display terminals (vdts)-part 9: Requirements for non-keyboard input devices (fdis-final draft international standard), 2000. International Organization for Standardization, 2000.
  34. Modeling the impact of depth on pointing performance. In Proc. of the 2016 CHI Conference on Human Factors in Computing Systems, CHI ’16, p. 188–199. ACM, USA, 2016. doi: 10 . 1145/2858036 . 2858244
  35. Direct pointer: Direct manipulation for large-display interaction using handheld cameras. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’06, p. 1107–1110. ACM, USA, 2006. doi: 10 . 1145/1124772 . 1124937
  36. Modeling angle-based pointing tasks in augmented reality interfaces. IEEE Access, 8:192597–192607, 2020. doi: 10 . 1109/ACCESS . 2020 . 3031957
  37. The effects of virtual reality, augmented reality, and motion parallax on egocentric depth perception. In Proc. of the 5th Symposium on Applied Perception in Graphics and Visualization, APGV ’08, p. 9–14. ACM, USA, 2008. doi: 10 . 1145/1394281 . 1394283
  38. A comparison of ray pointing techniques for very large displays. In Proc. of Graphics Interface 2010, GI ’10, p. 269–276. Canadian Information Processing Society, CAN, 2010. doi: 10 . 5555/1839214 . 1839261
  39. G. Kondraske. An angular motion fitt’s law for human performance modeling and prediction. In Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 1, pp. 307–308 vol.1, 1994. doi: 10 . 1109/IEMBS . 1994 . 412031
  40. A human motor behavior model for distal pointing tasks. International Journal of Human-Computer Studies, 68(10):603–615, 2010. doi: 10 . 1016/j . ijhcs . 2010 . 05 . 001
  41. R. A. P. Kopper. Understanding and improving distal pointing interaction. PhD thesis, Virginia Tech, 2011.
  42. Perceptual influences on fitts’ law. Experimental Brain Research, 190(1):99–103, 2008. doi: 10 . 1007/s00221-008-1497-3
  43. On motor performance in virtual 3d object manipulation. IEEE Transactions on Visualization and Computer Graphics, 26(5):2041–2050, 2020. doi: 10 . 1109/TVCG . 2020 . 2973034
  44. G. Kyung and S. Park. Curved versus flat monitors: Interactive effects of display curvature radius and display size on visual search performance and visual fatigue. Human Factors, 63(7):1182–1195, 2021. doi: 10 . 1177/0018720820922717
  45. Factors associated with visual fatigue from curved monitor use: A prospective study of healthy subjects. PLOS ONE, 11(10):1–12, 10 2016. doi: 10 . 1371/journal . pone . 0164022
  46. J. Leusmann and S. M. K. Angerbauer. A literature review on distant object selection methods. 2021. doi: 10 . 18419/opus-12060
  47. Magic-pointing on large high-resolution displays. In Proc. of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA ’16, p. 1706–1712. ACM, USA, 2016. doi: 10 . 1145/2851581 . 2892479
  48. I. S. MacKenzie. Fitts’ law as a research and design tool in human-computer interaction. Hum.-Comput. Interact., 7(1):91–139, mar 1992. doi: 10 . 1207/s15327051hci0701_3
  49. I. S. MacKenzie and W. Buxton. Extending fitts’ law to two-dimensional tasks. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’92, p. 219–226. ACM, USA, 1992. doi: 10 . 1145/142750 . 142794
  50. Meta. Meta quest 2: Advanced all-in-one vr headset., 2023. Retrieved January 15, 2023 from https://www.meta.com/gb/en/quest/products/quest-2.
  51. Depth perception within virtual environments: comparison between two display technologies. International Journ. on Advances in Intelligent Systems, 3, 2010.
  52. High-precision pointing on large wall displays using small handheld devices. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’13, p. 831–840. ACM, USA, 2013. doi: 10 . 1145/2470654 . 2470773
  53. Designing large-display workspaces for cooperative travel consultancy. In CHI ’08 Extended Abstracts on Human Factors in Computing Systems, CHI EA ’08, p. 2877–2882. ACM, USA, 2008. doi: 10 . 1145/1358628 . 1358777
  54. J.-Y. Oh and W. Stuerzlinger. Laser pointers as collaborative pointing devices. In Graphics Interface, vol. 2002, pp. 141–149. Citeseer, 2002.
  55. A. E. Raftery. Bayesian model selection in social research. Sociological methodology, pp. 111–163, 1995.
  56. M. Rohs and A. Oulasvirta. Target acquisition with camera phones when used as magic lenses. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’08, p. 1409–1418. ACM, USA, 2008. doi: 10 . 1145/1357054 . 1357275
  57. G. Schwarz. Estimating the dimension of a model. The Annals of Statistics, 6(2):461–464, 1978.
  58. Pointing cursor interaction in virtual reality from the perspective of distance perception. Traitement du Signal, 39(2), 2022. doi: 10 . 18280/ts . 390209
  59. Two-part models capture the impact of gain on pointing performance. ACM Trans. Comput.-Hum. Interact., 19(4), dec 2012. doi: 10 . 1145/2395131 . 2395135
  60. Shaping the display of the future: The effects of display size and curvature on user performance and insights. Human–Computer Interaction, 24(1-2):230–272, 2009. doi: 10 . 1080/07370020902739429
  61. Pointing at a distance with everyday smart devices. In Proc. of the 2018 CHI Conference on Human Factors in Computing Systems, CHI ’18, p. 1–11. ACM, USA, 2018. doi: 10 . 1145/3173574 . 3173747
  62. Towards a standard for pointing device evaluation, perspectives on 27 years of fitts’ law research in hci. International Journal of Human-Computer Studies, 61(6):751–789, 2004. Fitts’ law 50 years later: applications and contributions from human-computer interaction. doi: 10 . 1016/j . ijhcs . 2004 . 09 . 001
  63. With similar visual angles, larger displays improve spatial performance. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’03, p. 217–224. ACM, USA, 2003. doi: 10 . 1145/642611 . 642650
  64. Freehand interaction with large displays: Effects of body posture, interaction distance and target size on task performance, perceived usability and workload. Applied Ergonomics, 93:103370, 2021. doi: 10 . 1016/j . apergo . 2021 . 103370
  65. U. technologies. Unity real-time development platform | 2d, 3d, vr & ar engine., 2023. Retrieved January 15, 2023 from https://unity.com/.
  66. E. Triantafyllidis and Z. Li. The challenges in modeling human performance in 3d space with fitts’ law. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA ’21. ACM, USA, 2021. doi: 10 . 1145/3411763 . 3443442
  67. Exploring users’ pointing performance on virtual and physical large curved displays. In Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology, pp. 1–11, 2023. doi: 10 . 1145/3611659 . 3615710
  68. Comparing immersiveness and perceptibility of spherical and curved displays. Applied Ergonomics, 90:103271, 2021. doi: 10 . 1016/j . apergo . 2020 . 103271
  69. An error model for pointing based on fitts’ law. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’08, p. 1613–1622. ACM, USA, 2008. doi: 10 . 1145/1357054 . 1357306
  70. The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and models. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’11, p. 1639–1648. ACM, USA, 2011. doi: 10 . 1145/1978942 . 1979181
  71. Speed–accuracy tradeoff in fitts’ law tasks—on the equivalency of actual and nominal pointing precision. International Journal of Human-Computer Studies, 61(6):823–856, 2004. Fitts’ law 50 years later: applications and contributions from human-computer interaction. doi: 10 . 1016/j . ijhcs . 2004 . 09 . 007
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