Abstract
Usability evaluation is an important step for any successful product design. There are different usability evaluation techniques like heuristic evaluation, cognitive walkthrough, review based evaluation etc., but for assistive technology, log file based analysis is often used (Lesher et al., 2000; O’Neill et al., 2002). An example of a different approach, Rizzo et al. (1997) evaluated the AVANTI project (Stephanidis et al., 1998), by combining cognitive walkthrough and Norman’s seven-stage model. From the viewpoint of assistive technology, it is often difficult to find participants with specific disabilities. Petrie et al. (2006) use remote evaluation but still need to find disabled participants. This paper uses a different approach to evaluate assistive interfaces and presents a simulator that can predict time and possible interaction patterns for motor-impaired people undertaking tasks. The simulator is used to compare existing interfaces and evaluate new alternatives.
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.
17.4 References
Biswas P, Bhattacharya S, Samanta D (2005) User model to design adaptable interfaces for motor-impaired users. In: Proceedings of the IEEE Tencon’05, Melbourne, Australia
Biswas P, Robinson P (2007) Performance comparison of different scanning systems using a simulator. In: Proceedings of the 9th European Conference for the Advancement of the Assistive Technologies in Europe (AAATE 2007), San Sebastián, Spain
Byrne MD (2001) ACT-R/PM and menu selection: applying a cognitive architecture to HCI. International Journal of Human Computer Studies, 55(1): 41–84
Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47: 381–391
John BE, Kieras BE (1996) The GOMS family of user interface analysis techniques: comparison and contrast. ACM Transactions on Computer Human Interaction, 3(4): 320–351
Keates S, Clarkson J, Robinson P (2000) Investigating the applicability of user models for motion impaired users. In: Proceedings of the 4th International ACM Conference on Assistive Technologies (ASSETS’00), Arlington, VA, US
Keates S, Trewin S (2005) Effect of age and Parkinson’s disease on cursor positioning using a mouse. In: Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’05), Baltimore, MD, US
Kieras D, Meyer DE (1997) An overview of the EPIC architecture for cognition and performance with application to human-computer interaction. Human-Computer Interaction, 12(4): 391–438
Kieras DE (2005) Fidelity issues in cognitive architectures for HCI modelling: be careful what you wish for. In: Proceedings of 11th International Conference on Human Computer Interaction (HCII 2005), Las Vegas, NV, US
Lesher GW, Rinkus GJ, Moulton BJ, Higginbotham DJ (2000) Logging and analysis of augmentative communication. In: Proceedings of the RESNA Annual Conference, Orlando, FL, US
Luck SJ, Chelazzi L, Hillyard SA, Desimone R (1997) Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. Journal Of Neurophysiology, 77(1): 24–42
MacKenzie IS (2003) Motor behaviour models for human-computer interaction. In: JM Carroll (ed.) HCI models, theories, and frameworks: toward a multidisciplinary science. Morgan Kaufmann, San Francisco, CA, US
McMillan WW (1992) Computing for users with special needs and models of computer-human interaction. In: Proceedings of the ACM CHI 92 Conference on Human Factors in Computing Systems (CHI 92), Monterey, CA, US
O’Neill P, Roast C, Hawley M (2000) Evaluation of scanning user interfaces using real time data usage logs. In: Proceedings of 4th International ACM Conference on Assistive Technologies (ASSETS’00), Arlington, VA, US
Petrie H, Hamilton F, King N, Pavan P (2006) Remote usability evaluations with disabled people. In: Proceedings of the ACM CHI 2006 conference on Human Factors in Computing Systems (CHI 2006), Montréal, Canada
Reynolds JH, Desimone R (1999) The role of neural mechanisms of attention in solving the binding problem. Neuron, 24: 19–29 and 111–125
Rizzo A, Marchigiani E, Andreadis A (1997) The AVANTI project: prototyping and evaluation with a cognitive walkthrough based on the Norman’s model of action. In: Proceedings of Symposium on Designing Interactive Systems: Processes, Practices, Methods, and Techniques (DIS97), Amsterdam, The Netherlands
Stephanidis C, Paramythis A, Sfyrakis M, Stergiou A, Maou N, Leventis A et al. (1998) Adaptable and adaptive user interfaces for disabled users in the AVANTI project. In: D Ranc, IP van der Bijl, S Sedillot (eds.) Intelligence in services and networks: technology for ubiquitous telecom services. LNCS-1430, Springer, Berlin/Heidelberg, Germany
Version 6.24 of CLIPS (2007) Available at: www.ghg.net/clips/Version624.html (Accessed on 21 May 2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag London Limited
About this paper
Cite this paper
Biswas, P., Robinson, P. (2008). A Case Study of Simulating HCI for Special Needs. In: Langdon, P., Clarkson, J., Robinson, P. (eds) Designing Inclusive Futures. Springer, London. https://doi.org/10.1007/978-1-84800-211-1_17
Download citation
DOI: https://doi.org/10.1007/978-1-84800-211-1_17
Publisher Name: Springer, London
Print ISBN: 978-1-84800-210-4
Online ISBN: 978-1-84800-211-1
eBook Packages: EngineeringEngineering (R0)