Abstract
Pointing tasks form a significant part of human-computer interaction in graphical user interfaces. We have developed a model to predict the task completion time for pointing tasks for people with motor-impairment. As part of the model, we have also developed a new scale of characterizing the extent of disability of users by measuring their grip strength. We have validated the model by conducting two trials involving people with motor-impairment and in both trials the model has predicted pointing time with statistically significant accuracy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Biswas, P., Robinson, P.: Automatic Evaluation of Assistive Interfaces. In: ACM International Conference on Intelligent User Interfaces (IUI) 2008, pp. 247–256 (2008)
Bravo, P.E., et al.: A study of the application of Fitts’ Law to selected cerebral palsy adults. Perceptual and Motor Skills 77, 1107–1117 (1993)
Fitts, P.M.: The Information Capacity of The Human Motor System In Controlling The Amplitude of Movement. Journal of Experimental Psychology 47, 381–391 (1954)
Flowers, K.A.: Visual ‘Closed-Loop’ And ‘Open-Loop’ characteristics Of Voluntary Movement In Patients With Parkinsonism And Intention Tremor. Brain 99, 269–310 (1976)
Gajos, K.Z., Wobbrock, J.O., Weld, D.S.: Automatically generating user interfaces adapted to users’ motor and vision capabilities. In: Proceedings of UIST (2007)
Gan, K.C., Hoffmann, E.R.: Geometrical conditions for ballistic and visually controlled movements. Ergonomics 31, 829–839 (1988)
Gump, A., et al.: Application of Fitts’ Law to individuals with cerebral palsy. Perceptual and Motor Skills 94, 883–895 (2002)
Hoffmann, E.R., Sheikh, I.: Finger width corrections in Fitts’ Law: Implications for speed-accuracy research. Journal of Motor Behavior 24, 259–262 (1991)
Holzinger, A.: Finger Instead of Mouse: Touch Screens as a means of enhancing Universal Access. In: Carbonell, N., Stephanidis, C. (eds.) UI4ALL 2002. LNCS, vol. 2615, pp. 387–397. Springer, Heidelberg (2003)
Holzinger, A., Höller, M., Schedlbauer, M., Urlesberger, B.: An Investigation of Finger versus Stylus Input in Medical Scenarios. In: Luzar-Stiffler, V., Dobric, V.H., Bekic, Z. (eds.) ITI 2008: 30th International Conference on Information Technology Interfaces, June 23-26, pp. 433–438. IEEE, Los Alamitos (2008)
Keates, S., Clarkson, J., Robinson, P.: Investigating The Applicability of User Models For Motion Impaired Users. In: Proceedings of ACM/SIGACCESS Conference On Computers And Accessibility, November 13-15 (2000)
Mackenzie, I.S.: Motor Behaviour Models For Human-Computer Interaction. In: Carroll, J.M. (ed.) HCI Models, Theories, And Frameworks: Toward A Multidisciplinary Science, pp. 27–54. Morgan Kaufmann, San Francisco (2003)
Mathiowetz, V., Weber, K., Volland, G., Kashman, N.: Reliability and validity of hand strength evaluation. Journal of Hand Surg (1984)
McCrea, P.H., Eng, J.J.: Consequences of increased neuro-motor noise for reaching movements in persons with stroke. Journal of Experimental Brain Research 162, 70–77 (2005)
Rosenbaum, D.A.: Human Motor Control. Academic Press Inc., California (1991)
Ross, T.J.: Fuzzy Logic with Engineering Application, International edn. McGraw-Hill Inc., New York (1997)
Ross, S.M.: Probability Models For Computer Science. Elsevier, Amsterdam (2002)
Scholtes, V.A.B., et al.: Clinical assessment of spasticity in children with cerebral palsy: a critical review of available instruments. Developmental Medicine and Child Neurology 48, 64–73 (2006)
Schedlbauer, M., Heines, J.: Selecting While Walking: An Investigation of Aiming Performance in a Mobile Work Context. In: AMCIS 2007 (2007)
Schedlbauer, M.J., Pastel, R.L., Heines, J.M.: Effect of Posture on Target Acquisition with a Trackball and Touch Screen. In: 28th International Conference on Information Technology Interfaces (ITI)
Smits-Engelsman, B.C.M., et al.: Children with congential spastic hemiplegia obey Fitts’ Law in a visually guided tapping task. Journal of Experimental Brain Research 177, 431–439 (2007)
Trewin, S., Pain, H.: Keyboard And Mouse Errors Due To Motor Disabilities. International Journal of Human-Computer Studies 50(2), 109–144 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Biswas, P., Robinson, P. (2009). Predicting Pointing Time from Hand Strength. In: Holzinger, A., Miesenberger, K. (eds) HCI and Usability for e-Inclusion. USAB 2009. Lecture Notes in Computer Science, vol 5889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10308-7_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-10308-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10307-0
Online ISBN: 978-3-642-10308-7
eBook Packages: Computer ScienceComputer Science (R0)