Movement time prediction for tasks assisted by force-feedback

Hwang, F.; Keates, S.; Langdon, P. M.; Clarkson, P. J.

Abstract

Movement plays an integral role in human-computer interaction. In particular, mouse movements can occupy as much as 65% of the time spent interacting with a graphical user interface (Johnsonet al 1993). However, for users with impaired motion, symptoms such as tremor, spasm, and co-ordination difficulties can make it often difficult, and sometimes impossible, to perform the movements required to control a mouse accurately (Trewin and Pain, 1999).

Citation

Hwang, F., Keates, S., Langdon, P. M., & Clarkson, P. J. (2004, March). Movement time prediction for tasks assisted by force-feedback. Presented at 2nd Cambridge Workshop on Universal Access and Assistive Technology(CWUAAT 04), Cambridge, United Kingdom

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2nd Cambridge Workshop on Universal Access and Assistive Technology(CWUAAT 04)
• Start Date: Mar 22, 2004
• End Date: Mar 24, 2004
• Publication Date: 2004
• Deposit Date: Feb 8, 2019
• Publisher: Springer
• Pages: 143-152
• Book Title: Design for a more inclusive world
• Chapter Number: 15
• ISBN: 9781447110460
• DOI: https://doi.org/10.1007/978-0-85729-372-5_15
• Keywords: Human-computer interaction; movement; touch
• Public URL: http://researchrepository.napier.ac.uk/Output/1497722
• Publisher URL: http://gala.gre.ac.uk/12628/