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Leveraging CD Gain for Precise Barehand Video Timeline Browsing on Smart Displays

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Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12935))

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Abstract

One common task when controlling smart displays is the manipulation of video timelines. Given current examples of smart displays that support distant bare hand control, in this paper we explore CD Gain functions to support both seeking and scrubbing tasks. Through a series of experiments, we demonstrate that a linear CD Gain function provides performance advantages when compared to either a constant function or generalised logistic function (GLF). In particular, linear gain is faster than a GLF and has lower error rate than Constant gain. Furthermore, Linear and GLF gains’ average temporal error when targeting a one second interval on a two hour timeline (±5 s) is less than one third the error of a Constant gain.

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Notes

  1. 1.

    The experiments were conducted during the Covid-19 pandemic.

References

  1. Balakrishnan, R.: “Beating” Fitts’ law: virtual enhancements for pointing facilitation. Int. J. Hum.-Comput. Stud. 61(6), 857–874 (2004). https://doi.org/10.1016/j.ijhcs.2004.09.002. http://www.sciencedirect.com/science/article/pii/S107158190400103X. Fitts’ law 50 years later: applications and contributions from human-computer interaction

  2. Casiez, G., Roussel, N.: No more bricolage! methods and tools to characterize, replicate and compare pointing transfer functions. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, UIST 2011, pp. 603–614. Association for Computing Machinery, New York (2011). https://doi.org/10.1145/2047196.2047276

  3. Casiez, G., Vogel, D., Balakrishnan, R., Cockburn, A.: The impact of control-display gain on user performance in pointing tasks. Hum.-Comput. Interact. 23(3), 215–250 (2008). https://doi.org/10.1080/07370020802278163. https://www.tandfonline.com/doi/abs/10.1080/07370020802278163

  4. Cheng, K.Y., Luo, S.J., Chen, B.Y., Chu, H.H.: Smartplayer: user-centric video fast-forwarding. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2009, pp. 789–798. Association for Computing Machinery, New York (2009). https://doi.org/10.1145/1518701.1518823

  5. Dragicevic, P., Ramos, G., Bibliowitcz, J., Nowrouzezahrai, D., Balakrishnan, R., Singh, K.: Video browsing by direct manipulation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2008, pp. 237–246. Association for Computing Machinery, New York (2008). https://doi.org/10.1145/1357054.1357096

  6. Forlines, C., Vogel, D., Balakrishnan, R.: Hybridpointing: fluid switching between absolute and relative pointing with a direct input device. In: Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology, UIST 2006, pp. 211–220. Association for Computing Machinery, New York (2006). https://doi.org/10.1145/1166253.1166286

  7. Grossman, T., Balakrishnan, R.: 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, CHI 2005, pp. 281–290. Association for Computing Machinery, New York (2005). https://doi.org/10.1145/1054972.1055012

  8. Guiard, Y., Blanch, R., Beaudouin-Lafon, M.: Object pointing: a complement to bitmap pointing in GUIs. In: Proceedings of Graphics Interface 2004, pp. 9–16. Citeseer (2004)

    Google Scholar 

  9. Jellinek, H.D., Card, S.K.: Powermice and user performance. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1990, pp. 213–220. Association for Computing Machinery, New York (1990). https://doi.org/10.1145/97243.97276

  10. Karrer, T., Weiss, M., Lee, E., Borchers, J.: Dragon: a direct manipulation interface for frame-accurate in-scene video navigation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2008, pp. 247–250. Association for Computing Machinery, New York (2008). https://doi.org/10.1145/1357054.1357097

  11. Katsuragawa, K., Pietroszek, K., Wallace, J.R., Lank, E.: Watchpoint: freehand pointing with a smartwatch in a ubiquitous display environment. In: Proceedings of the International Working Conference on Advanced Visual Interfaces, pp. 128–135 (2016)

    Google Scholar 

  12. Kimber, D., Dunnigan, T., Girgensohn, A., Shipman, F., Turner, T., Yang, T.: Trailblazing: video playback control by direct object manipulation. In: 2007 IEEE International Conference on Multimedia and Expo, pp. 1015–1018 (2007)

    Google Scholar 

  13. Koutsabasis, P., Vogiatzidakis, P.: Empirical research in mid-air interaction: a systematic review. Int. J. Hum.-Comput. Interact. 35(18), 1747–1768 (2019)

    Article  Google Scholar 

  14. Matejka, J., Grossman, T., Fitzmaurice, G.: Swifter: Improved Online Video Scrubbing, pp. 1159–1168. Association for Computing Machinery, New York (2013). https://doi.org/10.1145/2470654.2466149

  15. Matulic, F., Vogel, D.: Multiray: multi-finger raycasting for large displays. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–13 (2018)

    Google Scholar 

  16. Mayer, S., Schwind, V., Schweigert, R., Henze, N.: The effect of offset correction and cursor on mid-air pointing in real and virtual environments. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–13 (2018)

    Google Scholar 

  17. McGuffin, M., Balakrishnan, R.: Acquisition of expanding targets. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2002, pp. 57–64. Association for Computing Machinery, New York (2002). https://doi.org/10.1145/503376.503388

  18. Müller, J.: Dynamics of pointing with pointer acceleration. In: Bernhaupt, R., Dalvi, G., Joshi, A., Balkrishan, D.K., O’Neill, J., Winckler, M. (eds.) INTERACT 2017. LNCS, vol. 10515, pp. 475–495. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67687-6_33

    Chapter  Google Scholar 

  19. Nancel, M., Chapuis, O., Pietriga, E., Yang, X.D., Irani, P.P., Beaudouin-Lafon, M.: High-precision pointing on large wall displays using small handheld devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, pp. 831–840. Association for Computing Machinery, New York (2013). https://doi.org/10.1145/2470654.2470773

  20. Nancel, M., Pietriga, E., Chapuis, O., Beaudouin-Lafon, M.: Mid-air pointing on ultra-walls. ACM Trans. Comput.-Hum. Interact. (TOCHI) 22(5), 1–62 (2015)

    Article  Google Scholar 

  21. Pietroszek, K., Tahai, L., Wallace, J.R., Lank, E.: Watchcasting: freehand 3D interaction with off-the-shelf smartwatch. In: 2017 IEEE Symposium on 3D User Interfaces (3DUI), pp. 172–175. IEEE (2017)

    Google Scholar 

  22. Pongnumkul, S., Wang, J., Ramos, G., Cohen, M.: Content-aware dynamic timeline for video browsing. In: Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology, UIST 2010, pp. 139–142. Association for Computing Machinery, New York (2010). https://doi.org/10.1145/1866029.1866053

  23. Schoeffmann, K., Hudelist, M.A., Huber, J.: Video interaction tools: a survey of recent work. ACM Comput. Surv. 48(1) (2015). https://doi.org/10.1145/2808796

  24. Siddhpuria, S., Malacria, S., Nancel, M., Lank, E.: Pointing at a distance with everyday smart devices. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–11 (2018)

    Google Scholar 

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Acknowledgements

We thank participants and our Office of Research Ethics for valuable assistance during the design of our remote study. This research was funded by a grant from Waterloo-Huawei Joint Innovation Laboratory.

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Correspondence to Futian Zhang .

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Zhang, F., Mizobuchi, S., Zhou, W., Khan, T.A., Li, W., Lank, E. (2021). Leveraging CD Gain for Precise Barehand Video Timeline Browsing on Smart Displays. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12935. Springer, Cham. https://doi.org/10.1007/978-3-030-85610-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-85610-6_5

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