The media equation: how people treat computers, television, and new media like real people and places
Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests
Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests
Robust Parameterized Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Feedback management in the pronunciation training system ARTUR
CHI '06 Extended Abstracts on Human Factors in Computing Systems
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
An Experiment Using Personalised Multimedia Interfaces for Speech Therapy
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
Interaction Design and Children
Foundations and Trends in Human-Computer Interaction
Using interactive objects for speech intervention
ACM SIGACCESS Accessibility and Computing
A novel multimedia educational speech therapy system for hearing impaired children
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
A european portuguese children speech database for computer aided speech therapy
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Clustering Persian viseme using phoneme subspace for developing visual speech application
Multimedia Tools and Applications
Hi-index | 0.00 |
This study has been performed in order to test the human-machine interface of a computer-based speech training aid named ARTUR with the main feature that it can give suggestions on how to improve articulation. Two user groups were involved: three children aged 9-14 with extensive experience of speech training, and three children aged 6. All children had general language disorders.The study indicates that the present interface is usable without prior training or instructions, even for the younger children, although it needs some improvement to fit illiterate children. The granularity of the mesh that classifies mispronunciations was satisfactory, but can be developed further.