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A collaborative multimodal handwriting training environment for visually impaired students
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OZCHI; Vol. 287 archive
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat table of contents
Cairns, Australia
SESSION: Exploration, learning & multimodality table of contents
Pages 195-202  
Year of Publication: 2008
ISBN:0-9803063-4-5
Authors
Peter Reid  The University of Auckland, Auckland, New Zealand
Beryl Plimmer  The University of Auckland, Auckland, New Zealand
Publisher
ACM  New York, NY, USA
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ABSTRACT

The spatial motor skills used for handwriting are particularly difficult for visually impaired people to develop. These skills are required in order to sign an aesthetically pleasing and repeatable signature, which is often required for documents such as legal agreements and job applications. Our multimodal system with haptic guidance, sonification and tactile feedback is designed to assist when teaching visually impaired students to form letters, and eventually, a signature. As tactile technologies become commonplace, appearing even in mobile phones, our system may also provide useful insight into the use of nonvisual feedback for a variety of applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Amirabdollahian, F., Loureiro, R. and Harwin, W. Minimum Jerk Trajectory Control for Rehabilitation and Haptic Applications. In Proceedings of the IEEE International Conference on Robotics & Automation, (Washington DC, 2002), 3380--3385.
 
2
Arter, C., McCall, S., Bowyer, T. Handwriting and children with visual impairments British Journal of Special Education 23, 1 (1996), 25--28.
 
3
Astrom, K. J. and Hagglund, T. PID Controllers. International Society for Measurement and Control, Research Triangle Park, N.C., 1995.
4
 
5
Crossan, A., Williamson, J. and Brewster, S. A General Purpose Control-Based Playback for Force Feedback Systems. In Proceedings of Eurohaptics 2006 (Paris, France, 2006).
 
6
Dang, T., Annaswamy, T. M. and Srinivasan, M. A. Development and Evaluation of an Epidural Injection Simulator with Force Feedback for Medical Training. In Proceedings of Medicine Meets Virtual Reality, (USA, 2001), IOS Press, 97--102.
 
7
 
8
Green, T. R. G. and Blackwell, A. F. Cognitive dimensions of information artefacts: a tutorial. http://www.cl.cam.ac.uk/~afb21/CognitiveDimensions/CDtutorial.pdf (1998)
 
9
Green, T. R. G. & Petre, M. Usability analysis of visual programming environments: a 'cognitive dimensions' framework. Journal of Visual Languages and Computing 2, 7 (1996), 131--174.
 
10
Henmi, K. and Yoshikawa, T. Virtual lesson and its application to virtual calligraphy system. In Proceedings of IEEE International Conference on Robotics and Automation, (1998), 1275--1280.
11
 
12
Horstmann, M., Hagen, C., King, A., Dijkstra, S., Crombie, D., Evans, G., Ioannidis, G. T., Blenkhorn, P., Herzog, O. and Schlieder, C. TeDUB: Automatic interpretation and presentation of technical diagrams for blind people. In Proceedings of Conference and Workshop on Assistive Technologies for Vision and Hearing Impairment - CVHI'2004, EURO-ASSIST-VHI-2: Accessibility, Mobility and Social Integration, (Granada, Spain, 2004).
13
 
14
Landua, S. and Wells, L. Merging Tactile Sensory Input and Audio Data by Means of the Talking Tactile Tablet. In Proceedings of Eurohaptics 2003, (Dublin, Ireland, 2003), 414--418.
 
15
Mullins, J., Mawson, C., Nahavandi, S. Haptic handwriting aid for training and rehabilitation. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, (2005), 2690--2694
16
 
17
Rassmus-Gröhn, K., Magnusson, C. and Eftring, H. User evaluations of a virtual haptic-audio line drawing prototype. In Proceedings of Haptic and Audio Interaction Design (HAID2006), (University of Glasgow, UK, 2006), LNCS vol 4129, 81--91.
 
18
Sassoon, R. Handwriting: The Way to Teach It. Second Edition. Paul Chapman, London, 2003.
 
19
SensAble Technologies www.sensable.com
 
20
Taylor, T. Handwriting: Multisensory Approaches to Assessing and Improving Handwriting Skills, David Fulton, London, 2001.
 
21
22
 
23
Yokokohji, Y., Hollis, R. L., Kanade, T., Henmi, K. and Yoshikawa, T. Toward Machine Mediated Training of Motor Skills -Skill Transfer from Human to Human via Virtual Environment. In Proceedings of RO-MAN, (Japan, 1996), 32--37.
 
24
Yu, W. and Brewster, S. A. Evaluation of Multimodal Graphs for Blind People. Journal of Universal Access in the Information Society 2, 2 (2003), 105--124.

Collaborative Colleagues:
Peter Reid: colleagues
Beryl Plimmer: colleagues