Effects of User’s Hand Orientation and Spatial Movements on Free Hand Interactions with Large Displays

References

• Ardito, C., Buono, P., Costabile, M. F., & Desolda, G. (2015). Interaction with large displays: A survey. ACM Computing Surveys, 47(3), 1–38. doi:10.1145/2737799
   Web of Science ®Google Scholar
• Ball, R., North, C., & Bowman, D. A. (2007). Move to improve: Promoting physical navigation to increase user performance with large displays. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 191–200). New York, NY: ACM.
   Google Scholar
• Ballendat, T., Marquardt, N., & Greenberg, S. (2010). Proxemic interaction: Designing for a proximity and orientation-aware environment. ACM International Conference on Interactive Tabletops and Surfaces (pp. 121–130). New York, NY: ACM.
   Google Scholar
• Banerjee, A., Burstyn, J., Girouard, A., & Vertegaal, R. (2011). Pointable: An in-air pointing technique to manipulate out-of-reach targets on tabletops. Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces (pp. 11–20). New York, NY: ACM.
   Google Scholar
• Barclay, K., Wei, D., Lutteroth, C., & Sheehan, R. (2011). A quantitative quality model for gesture based user interfaces. Proceedings of the Australian Computer–Human Interaction Conference (pp. 31–39). New York, NY: ACM.
   Google Scholar
• Barrero, A., Melendi, D., Pañeda, X. G., García, R., & Pozueco, L. (2016). Evaluation of text entry methods for interactive digital television applications with devices alternative to conventional remote controls. International Journal of Human–Computer Interaction, 32(10), 765–776.
   Web of Science ®Google Scholar
• Bateman, S., Mandryk, R. L., Gutwin, C., & Xiao, R. (2013). Analysis and comparison of target assistance techniques for relative ray-cast pointing. International Journal of Human–Computer Studies, 71(5), 511–532. doi:10.1016/j.ijhcs.2012.12.006
   Web of Science ®Google Scholar
• Cho, K., Lee, J. H., Lee, B. T., & Park, E. (2015). Effects of feedforward in in-air remote pointing. International Journal of Human–Computer Interaction, 31(2), 89–100. doi:10.1080/10447318.2014.959107
   Web of Science ®Google Scholar
• Clark, A., Dünser, A., Billinghurst, M., Piumsomboon, T., & Altimira, D. (2011). Seamless interaction in space. Proceedings of the 23rd Australian Computer–Human Interaction Conference (pp. 88–97). New York, NY: ACM.
   Google Scholar
• Czerwinski, M., Regan, T., Meyers, B., & Smith, G. (2003). Toward characterizing the productivity benefits of very large displays. Interact, 3, 9–16.
   Google Scholar
• Czerwinski, M., Robertson, G., Meyers, B., Smith, G., Robbins, D., & Tan, D. (2006). Large display research overview. CHI ‘06 Extended Abstracts on Human Factors in Computing Systems (pp. 69–74). New York, NY: ACM.
   Google Scholar
• Dan, R., Olsen, J., & Nielsen, T. (2001). Laser pointer interaction. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 17–22). New York, NY: ACM.
   Google Scholar
• Debarba, H., Nedel, L., & Maciel, A. (2012). LOP-cursor: Fast and precise interaction with tiled displays using one hand and levels of precision. 2012 IEEE Symposium on 3D User Interfaces (3DUI) (pp. 125–132). New York, NY: IEEE.
   Google Scholar
• Fitts, P. M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology General, 47(6), 381–391. doi:10.1037/h0055392
   Web of Science ®Google Scholar
• Garzotto, F., Gelsomini, M., Mangano, R., Oliveto, L., & Valoriani, M. (2014). From desktop to touchless interfaces: A model based approach. Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces (pp. 261–264). New York, NY: ACM.
   Google Scholar
• Haque, F., Nancel, M., & Vogel, D. (2015). Myopoint: Pointing and clicking using forearm mounted electromyography and inertial motion sensors. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 3653–3656). New York, NY: ACM.
   Google Scholar
• Hart, S. G., & Stavenland, L. E. (1998). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Ed.), Human mental workload (pp. 139–183).
   Google Scholar
• Hincapié-Ramos, J. D., Guo, X., Moghadasian, P., & Irani, P. (2014). Consumed endurance: A metric to quantify arm fatigue of mid-air interactions. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1063–1072). New York, NY: ACM.
   Google Scholar
• Jakobsen, M. R., Sahlemariam Haile, Y., Knudsen, S., & Hornbaek, K. (2013). Information visualization and proxemics: Design opportunities and empirical findings. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2386–2395. doi:10.1109/TVCG.2013.166
   PubMed Web of Science ®Google Scholar
• Jota, R., Pereira, J. M., & Jorge, J. A. (2009). A comparative study of interaction metaphors for large-scale displays. CHI ‘09 Extended abstracts on human factors in computing systems (pp. 4135–4140). New York, NY: ACM.
   Google Scholar
• Jude, A., Poor, G. M., & Guinness, D. (2014). An evaluation of touchless hand gestural interaction for pointing tasks with preferred and non-preferred hands. Proceedings of the 8th Nordic Conference on Human–Computer Interaction: Fun, Fast, Foundational (pp. 668–676). New York, NY: ACM.
   Google Scholar
• Jungong, H., Ling, S., Dong, X., & Shotton, J. (2013). Enhanced computer vision with microsoft kinect sensor: A review. IEEE Transactions on Cybernetics, 43(5), 1318–1334. doi:10.1109/TCYB.2013.2265378
   PubMed Web of Science ®Google Scholar
• Kabbash, P., MacKenzie, I. S., & Buxton, W. (1993). Human performance using computer input devices in the preferred and non-preferred hands. Proceedings of the INTERACT’93 and CHI’93 Conference on Human Factors in Computing Systems (pp. 474–481). New York, NY: ACM.
   Google Scholar
• Keuning, H., Van Galen, G. P., & Houtsma, A. J. (2005). The role of size of an augmented force field in computer-aided target acquisition tasks. International Journal of Human–Computer Interaction, 18(2), 219–232. doi:10.1207/s15327590ijhc1802_5
   Web of Science ®Google Scholar
• Mackenzie, I. S., Kauppinen, T., & Silfverberg, M. (2001). Accuracy measures for evaluating computer pointing devices. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp.9–16). New York, NY: ACM.
   Google Scholar
• McCallum, D. C., & Irani, P. (2009). ARC-Pad: Absolute+relative cursor positioning for large displays with a mobile touchscreen. Proceedings of the 22nd annual ACM symposium on user interface software and technology (pp. 153–156). New York, NY: ACM.
   Google Scholar
• Nancel, M., Chapuis, O., Pietriga, E., Yang, X. D., Irani, P. P., & Beaudouin-Lafon, M. (2013). High-precision pointing on large wall displays using small handheld devices. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 831–840). New York, NY: ACM.
   Google Scholar
• Nancel, M., Pietriga, E., Chapuis, O., & Beaudouin-Lafon, M. (2015). Mid-Air Pointing on Ultra-Walls. ACM Transactions on Computer-Human Interaction, 22(5), 1–62. doi:10.1145/2814459
   Web of Science ®Google Scholar
• Nielsen, M., Störring, M., Moeslund, T. B., & Granum, E. (2004). A procedure for developing intuitive and ergonomic gesture interfaces for HCI. A. Camurri & G. Volpe (Ed.), Gesture-based communication in human–computer interaction (pp. 409–420). Berlin, Heidelberg: Springer.
   Google Scholar
• Ren, G., & O’Neill, E. (2013). 3D selection with freehand gesture. Computers & Graphics, 37(3), 101–120. doi:10.1016/j.cag.2012.12.006
   Web of Science ®Google Scholar
• Robertson, G., Czerwinski, M., Baudisch, P., Meyers, B., Robbins, D., Smith, G., & Tan, D. (2005). The large-display user experience. IEEE Computer Graphics and Applications, 25(4), 44–51. doi:10.1109/MCG.2005.88
   PubMed Web of Science ®Google Scholar
• Rooney, C., & Ruddle, R. (2012). Improving window manipulation and content interaction on high-resolution, wall-sized displays. International Journal of Human–Computer Interaction, 28(7), 423–432. doi:10.1080/10447318.2011.608626
   Web of Science ®Google Scholar
• Ruddle, R. A., Volkova, E., & Bülthoff, H. H. (2011). Walking improves your cognitive map in environments that are large-scale and large in extent. ACM Transactions on Computer-Human Interaction, 18(2), 1–20. doi:10.1145/1970378
   Web of Science ®Google Scholar
• Shoemaker, G., Tsukitani, T., Kitamura, Y., & Booth, K. S. (2010). Body-centric interaction techniques for very large wall displays. Proceedings of the 6th Nordic Conference on Human–Computer Interaction: Extending Boundaries (pp. 463–472). New York, NY: ACM.
   Google Scholar
• Song, H., Clawson, J., & Radu, I. (2012). Updating Fitts’ law to account for small targets. International Journal of Human–Computer Interaction, 28(7), 433–444. doi:10.1080/10447318.2011.618096
   Web of Science ®Google Scholar
• Soukoreff, R. W., & MacKenzie, I. S. (2004). 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. doi:10.1016/j.ijhcs.2004.09.001
   Web of Science ®Google Scholar
• Tan, D. S., Gergle, D., Scupelli, P., & Pausch, R. (2006). Physically large displays improve performance on spatial tasks. ACM Transactions on Computer-Human Interaction, 13(1), 71–99. doi:10.1145/1143518
   Google Scholar
• Tanii, K., Kogi, K., & Sadoyama, T. (1972). Spontaneous alternation of the working arm in static overhead work. Journal of Human Ergology, 1(2), 143–155.
   PubMedGoogle Scholar
• Tomitsch, M., Ackad, C., Dawson, O., Hespanhol, L., & Kay, J. (2014). Who cares about the content? An analysis of playful behaviour at a public display. Proceedings of The International Symposium on Pervasive Displays (pp. 160–165). New York, NY: ACM.
   Google Scholar
• Troiano, A., Naddeo, F., Sosso, E., Camarota, G., Merletti, R., & Mesin, L. (2008). Assessment of force and fatigue in isometric contractions of the upper trapezius muscle by surface EMG signal and perceived exertion scale. Gait & Posture, 28(2), 179–186. doi:10.1016/j.gaitpost.2008.04.002
   PubMed Web of Science ®Google Scholar
• Vogel, D., & Balakrishnan, R. (2004). Interactive public ambient displays: Transitioning from implicit to explicit, public to personal, interaction with multiple users. In Proceedings of the 17th annual ACM symposium on user interface software and technology (pp. 137–146). New York, NY: ACM.
   Google Scholar
• Vogel, D., & Balakrishnan, R. (2005). Distant freehand pointing and clicking on very large, high resolution displays. Proceedings of the 18th annual ACM symposium on User interface software and technology (pp. 33–42). New York, NY: ACM.
   Google Scholar
• Zhengyou, Z. (2012). Microsoft kinect sensor and its effect. IEEE MultiMedia, 19(2), 4–10. doi:10.1109/MMUL.2012.24
   Web of Science ®Google Scholar