The effects of word prediction on communication rate for AAC

Authors:
Keith Trnka;Debra Yarrington;John McCaw;Kathleen F. McCoy;Christopher Pennington
Affiliations:
University of Delaware, Newark, DE;University of Delaware, Newark, DE;University of Delaware, Newark, DE;University of Delaware, Newark, DE;AgoraNet, Inc., Newark, DE
Venue:
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Year:
2007

Citing 3
Cited 10

The rôle of natural language processing in alternative and augmentative communication

Natural Language Engineering
Semantic knowledge in word completion

Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Topic modeling in fringe word prediction for AAC

Proceedings of the 11th international conference on Intelligent user interfaces

Corpus studies in word prediction

Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
SIBYLLE: a system for alternative communication adapting to the context and its user

Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Sibylle, An Assistive Communication System Adapting to the Context and Its User

ACM Transactions on Accessible Computing (TACCESS)
User Interaction with Word Prediction: The Effects of Prediction Quality

ACM Transactions on Accessible Computing (TACCESS)
Evaluating word prediction: framing keystroke savings

HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Word prediction and communication rate in AAC

Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies
Scanning methods and language modeling for binary switch typing

SLPAT '10 Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies
L'interface du clavier virtuel Chewing Word

Conference Internationale Francophone sur I'Interaction Homme-Machine
Towards technology-assisted co-construction with communication partners

SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
Discourse-based modeling for AAC

SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies

Quantified Score

Hi-index	0.01

Visualization

Abstract

Individuals using an Augmentative and Alternative Communication (AAC) device communicate at less than 10% of the speed of "traditional" speech, creating a large communication gap. In this user study, we compare the communication rate of pseudo-impaired individuals using two different word prediction algorithms and a system without word prediction. Our results show that word prediction can increase AAC communication rate and that more accurate predictions significantly improve communication rate.