sPeAK-MAN: towards popular gameplay for speech therapy

Authors:
Chek Tien Tan;Andrew Johnston;Kirrie Ballard;Samuel Ferguson;Dharani Perera-Schulz
Affiliations:
University of Technology, Sydney;University of Technology, Sydney;The University of Sydney;University of Technology, Sydney;Monash University
Venue:
Proceedings of The 9th Australasian Conference on Interactive Entertainment: Matters of Life and Death
Year:
2013

Citing 4
Cited 0

Visualizations: speech, language & autistic spectrum disorder

CHI '08 Extended Abstracts on Human Factors in Computing Systems
An Investigation of Audio-Visual Speech Recognition as Applied to Multimedia Speech Therapy Applications

ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Creating a spoken impact: encouraging vocalization through audio visual feedback in children with ASD

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Supporting the creative drive: investigating paralinguistic voice as a mode of interaction for artists with upper limb disabilities

Universal Access in the Information Society

Quantified Score

Hi-index	0.00

Visualization

Abstract

Current speech therapy treatments are not easily accessible to the general public due to cost and demand. Therapy sessions are also laborious and maintaining motivation of patients is hard. We propose using popular games and speech recognition technology for speech therapy in an individualised and accessible manner. sPeAK-MAN is a Pac-Man-like game with a core gameplay mechanic that incorporates vocalisation of words generated from a pool commonly used in clinical speech therapy sessions. Other than improving engagement, sPeAK-MAN aims to provide real-time feedback on the vocalisation performance of patients. It also serves as an initial prototype to demonstrate the possibilities of using familiar popular gameplay (instead of building one from scratch) for rehabilitation purposes.