Publication Cover
Assistive Technology
The Official Journal of RESNA
Volume 29, 2017 - Issue 1
112
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

A pointing facilitation system for motor-impaired users combining polynomial smoothing and time-weighted gradient target prediction models

, BA & , PhD
Pages 48-60 | Accepted 08 Apr 2016, Published online: 20 Sep 2016

References

  • Ahmad, B., Langdon, P., Godsill, S., Hardy, R., Dias, E., & Skrypchuk, L. (2014, September). Interactive displays in vehicles: Improving usability with a pointing gesture tracker and Bayesian intent predictors. Proceedings of Automotive UI, Seattle, WA.
  • Asano, T., Sharlin, E., Kitamura, Y., Takashima, K., & Kishino, F. (2005, October). Predictive interaction using the Delphian desktop. Proceedings of the 186th Annual ACM Smposium on User Interface Software and Technology (UIST’05), pp.133–141. New York.
  • Baudisch, P. (2009). Facilitating target acquisition by expanding targets. U.S. Patent 7530030 B2.
  • Biswas, P., & Langdon, P. (2015). Multimodal intelligent eye-gaze tracking system. International Journal of Human–Computer Interaction, 31(4), 277–294.
  • Biswas, P., & Langdon, P. (2012). Developing multimodal adaptation algorithm for mobility impaired users by evaluating their hand strength. International Journal of Human–Computer Interaction, 28(9), 576–596. doi:10.1080/10447318.2011.636294
  • Biswas, P., Robinson, P., & Langdon, P. (2012). Designing inclusive interfaces through user modelling and simulation. International Journal of Human–Computer Interaction, 28(1), 1–33.
  • Brooke, J. (1996). SUS—a quick and dirty usability scale. In Usability evaluation in industry (pp. 189.194: 4–7). Retrieved from http://citeseerx.ist.psu.edu/showciting?cid=179358
  • EU GUIDE. (2013). EU GUIDE Project. Retrieved from http://www.guide-project.eu/
  • Fitts, P. M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47, 381–391. doi:10.1037/h0055392
  • Grossman, T., & Balakrishnan, R. (2005). The bubble cursor: Enhancing target acquisition by dynamic resizing of the cursor’s activation area. Proceedings of the 23rd International Conference on Human Factors in Computing Systems (CHI’05)
  • Hart, S. G., & Staveland., L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Advances in Psychology, 52, 139–183.
  • Hwang, F., Hollinworth, N., & Williams, N. (2013). Effects of target expansion on selection performance in older computer users. ACM Transactions on Accessible Computing, 5(1).
  • Keates, S., Hwang, F., Langdon, P., Clarkson, P. J., & Robinson, P. (2002). Cursor measures for motion-impaired computer users. In Proceedings of the Fifth International ACM Conference on Assistive Technologies (ASSETS) (pp. 135–142). New York.
  • Langdon, P. M., Godsill, S., & Clarkson, P. J. (2006, September). Statistical estimation of user’s interactions from motion impaired cursor use data. 6th International Conference on Disability, Virtual Reality and Associated Technologies (ICDVRAT 2006), Esbjerg, Denmark.
  • Lank, E., Cheng, Y. N., & Ruiz, J. (2007, April–May). Endpoint prediction using motion kinematics. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’07), pp. 637–646, New York, NY.
  • Murata, A. (1998). Improvement of pointing time by predicting targets in pointing with a PC mouse. International Journal of Human–Computer Interaction, 10(1), 23–32. doi:10.1207/s15327590ijhc1001_2
  • Ruiz, J., & Lank, E. (2010). Speeding pointing in tiled widgets: Understanding the effects of target expansion and misprediction. In Proceedings of the 15th International Conference on Intelligent User Interfaces (IUI’10) (pp. 229–238). New York, NY: ACM.
  • TNR Technologies. (2016). Stressometer Comby™. Retrieved from http://www.tnr.fr/adtm60/pres60en.htm
  • Wobbrock, J. O., Fogarty, J., Liu, S., Kimuro, S., & Harada, S. (2009, April). The angle mouse: Target-agnostic dynamic gain adjustment based on angular deviation. Proceedings of the 27th International Conference on Human Factors in Computing Systems (CHI’09), pp. 1401–1410, New York.
  • World Health Organization (WHO). (2012). Disability and health. Retrieved from http://www.who.int/mediacentre/factsheets/fs352/en/
  • Ziebart, B., Dey, A., & Bagnell, J. A. (2012, February). Probabilistic pointing target prediction via inverse optimal control. In Proceedings of the 2012 ACM international conference on Intelligent User Interfaces (IUI’12), Lisbon, Portugal, pp. 1–10.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.