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Characterizing non-visual target acquisition tasks with the aid of a tactile display: investigating factors beyond the classical Fitts’ theorem

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Abstract

Interaction in most non-visual environments is limited to discrete units of input and feedback, such as keyboard and sound. The purpose of this study is to use the classical Fitts’ law to characterize target acquisition in a non-visual environment with continuous input devices and haptic feedback. Two groups of 21 severely visually impaired volunteers were recruited to perform a series of reciprocal tapping tasks based on three experimental conditions: Fitts’ index of difficulty (ID), types of tactile feedback, and the presence of haptic reference points. Types of tactile feedback included continuous vibration, enclosure, and surface friction. The results show that Fitts’ law accurately predicts performance for the visually impaired, even though the average movement time (MT) exceeded the 3-s window typical of rapid-aimed movement, particularly when the Fitts’ ID is greater than 3 bits. Interestingly, actual distance to the target has a larger effect on MT than target width. Enclosure haptic feedback (i.e., a sudden bump when the mouse pointer crosses over the object boundary) allows participants to rapidly acquire even small targets with a width of only 4 pixels, while varying constant degrees of surface friction are ineffective at conveying distance. Adding a grid of equidistant haptic reference points significantly reduced the number of missed targets and the standard deviation of end clicks around the target center, but increased the overall MT. This paper proposes a model to predict overall MT in non-visual environments with the aid of haptic reference points. These results have implications toward the design of interfaces and input devices that provide continuous control in non-visual environments.

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References

  1. Akamatsu, M., MacKenzie, I.S., Hasbrouq, T.: A comparison of tactile, auditory, and visual feedback in a pointing task using a mouse-type device. Ergonomics 38(4), 816–827 (1995)

    Article  Google Scholar 

  2. Akamatsu, M., MacKenzie, I.S.: Movement characteristics using a mouse with tactile and force feedback. Int. J. Hum. Comput. Stud. 45(4), 483–493 (1996)

    Article  Google Scholar 

  3. Bakaev, M., Avdeenko, T.: A formal research of older adults’ physical and cognitive traits in movement and selection tasks for interface design. In: Proceedings of IASDR 2009 Conference, pp. 255–264 (2009)

  4. Bravo, P.E., LeGare, M., Cook, A.M., Hussey, S.: A study of the application of Fitts’ law to selected cerebral palsied adults. Percept. Mot. Skills 77(3f), 1107–1117 (1993)

    Article  Google Scholar 

  5. Casiez, G., Roussel, N., Vanbelleghem, R., Giraud, F.: Surfpad: riding toward targets on a squeeze film effect. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI‘11). ACM, New York, NY, USA, pp. 2491–2500 (2011)

  6. Charoenchaimonkon, E., Janecek, P., Dailey, M.N., Suchato, A.: A comparison of audio and tactile displays for non-visual target selection tasks. In: User Science Engineering (i-USEr), 2010 International Conference on. IEEE, pp. 238–243 (2010)

  7. Cockburn, A., Brewster, S.: Multimodal feedback for the acquisition of small targets. Ergonomics 48(9), 1129–1150 (2005)

    Article  Google Scholar 

  8. Colwell, C., Petrie, H., Kornbrot, D., Hardwick, A., Furner, S.: Haptic virtual reality for blind computer users. In: Proceedings of the third International ACM Conference on Assistive Technologies (Assets’98). ACM, New York, NY, USA, pp. 92–99 (1998)

  9. Edwards, K., Mynatt, E., Stockton, K.: Access to graphical interfaces for blind users. Interactions 2(1), 54–67 (1995)

    Article  Google Scholar 

  10. Forlines, C., Balakrishnan, R.: Evaluating tactile feedback and direct vs. indirect stylus input in pointing and crossing selection tasks. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI‘08). ACM, New York, NY, USA, pp. 1563–1572 (2008)

  11. Fraser, J., Gutwin, C.: The effects of feedback on targeting performance in visually stressed conditions. Graph. Interface, 19–26 (2000)

  12. Friedlander, N., Schlueter, K., Mantei, M.: Bullseye! when Fitts’ law doesn’t fit. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI‘98). ACM, New York, NY, USA, pp. 257–264 (1998)

  13. Harada, S., Landay, J., Malkin, J., Li, X., Bilmes, J.: The vocal joystick: evaluation of voice-based cursor control techniques. In: Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility (Assets‘06). ACM, New York, NY, USA, pp. 197–204 (2006)

  14. Hwang, F., Keates, S., Langdon, P., Clarkson, P.J.: Multiple haptic targets for motion-impaired computer users. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI‘03). ACM, New York, NY, USA, pp. 41–48, Ft. Lauderdale, Florida, USA (2003)

  15. Jacko, J.A., Scott, I.U., Sainfort, F., Barnard, L., Edwards, P.J., Emery, V.K., Kongnakorn, T., Moloney, K.P., Zorich B.S.: Older adults and visual impairment: what do exposure times and accuracy tell us about performance gains associated with multimodal feedback? In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI‘03). ACM, New York, NY, USA, pp. 33–40 (2003)

  16. Jagacinski, R.J., Monk, D.L.: Fitts’ law in two dimensions with hand and head movements. J. Mot. Behav. 17(1), 77–95 (1985)

    Article  Google Scholar 

  17. Kerr, R.: Diving, adaptation, and Fitts law: investigating the usability of a screen reader and mental models of blind users in the Windows environment. J. Mot. Behav. 10(4), 255–260 (1978)

    Article  Google Scholar 

  18. Kong, J., Ren, X.: Calculation of effective target width and its effects on pointing tasks. Inf. Media Technol. 1(2), 1057–1059 (2006)

    Google Scholar 

  19. Kurniawan, S.H., Sutcliffe, A.G., Blenkhorn, P.L., Shin, J.E.: Investigating the usability of a screen reader and mental models of blind users in the Windows environment. Int. J. Rehabil. Res. 26(2), 145–147 (2003)

    Article  Google Scholar 

  20. Lévesque, V., Oram, L., MacLean, K., Cockburn, A., Marchuk, N.D., Johnson, D., Colgate, J.E., Peshkin, M.A.: Frictional widgets: enhancing touch interfaces with programmable friction. In: CHI‘11 Extended Abstracts on Human Factors in Computing Systems (CHI EA‘11). ACM, New York, NY, USA, pp. 1153–1158 (2011)

  21. MacKenzie, S.I., Kauppinen, T., Silfverberg, M.: Accuracy measures for evaluating computer pointing devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI‘01). ACM, New York, NY, USA, pp. 9–16 (2001)

  22. Magnusson, C., Danielsson, H., Rassmus-Gröhn, K.: Non visual haptic audio tools for virtual environments. In: McGookin, D., Brewster, S. (eds.) Haptic and Audio Interaction Design, vol. 4129, pp. 111–120. Springer, Berlin (2006)

  23. Ménélas, B., Picinali, L., Katz, B.F.G., Bourdot, P., Ammi, M.: Haptic audio guidance for target selection in a virtual environment. In: Proceedings 4th International Haptic and Auditory Interaction Design Workshop (HAID’09) (2009)

  24. Ménélas, B., Picinali, L., Katz, B.F.G., Bourdot, P.: Audio haptic feedbacks for an acquisition task in a multi-target context. In: Proceedings of IEEE Symposium on 3D User Interfaces (3DUI). IEEE, pp. 51–54 (2010)

  25. Oviatt, S.: Ten myths of multimodal interaction, moving from traditional interfaces toward interfaces offering users greater expressive power, naturalness, and portability. Commun. ACM 42(11), 74–81 (1999)

    Article  Google Scholar 

  26. Pitt, I.J., Edwards, A.D.N.: Pointing in an auditory interface for blind users. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Intelligent Systems for the 21st Century. IEEE, pp. 280–285 (1995)

  27. Sjöström, C.: Designing haptic computer interfaces for blind people. In: Proceedings of the Sixth International, Symposium on Signal Processing and its Applications. IEEE, pp. 68–71 (2001)

  28. Soukoreff, R.W., MacKenzie, I.S.: Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts’ law research in HCI. Int. J. Hum Comput. Stud. 61(6), 751–789 (2004)

    Article  Google Scholar 

  29. Subramanian, S., Gutwin, C., Sanchez, M.N., Power, C., Liu, J.: Haptic and tactile feedback in directed movements. In: Proceedings of conference on Guidelines on Tactile and Haptic Interactions, pp. 37–42 (2005)

  30. Surakka, V., Illi, M., Isokoski, P.: Gazing and frowning as a new human–computer interaction technique. ACM Trans. Appl. Percept. 1(1), 40–56 (2004)

    Article  Google Scholar 

  31. Wall, S.A., Harwin, W.S.: Quantification of the effects of haptic feedback during a motor skills task in a simulated environment. In: Proceedings of the Second PHANToM users research symposium (2000)

  32. Wallace, S.A., Newell, K.M.: Visual control of discrete aiming movements. Q. J. Exp. Psychol. 35(2), 311–321 (1983)

    Article  Google Scholar 

  33. Woodworth, R.S.: The accuracy of voluntary movement. Psychol. Rev. 3, 1–119 (1899)

  34. Zhai, S.: Characterizing computer input with Fitts’ law parameters—the information and non-information aspects of pointing. Int. J. Hum. Comput. Stud. 61(6), 791–809 (2004)

    Article  Google Scholar 

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Correspondence to Paul Janecek.

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Charoenchaimonkon, E., Janecek, P. Characterizing non-visual target acquisition tasks with the aid of a tactile display: investigating factors beyond the classical Fitts’ theorem. Univ Access Inf Soc 14, 459–475 (2015). https://doi.org/10.1007/s10209-014-0352-5

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