Title
Augmentative and Alternative Communication System Using Information Priority and Retrieval.
Abstract
In this paper, we propose a new method for applications of Augmentative and Alternative Communication (AAC) systems. These systems aid communication for people with impairments or comprehension issues with spoken or written languages in a dialogue situation. In previous studies, the user selected symbols as substitutes for displayed words and the system generated sentences based on these selections. In this study, our proposed method can generate the required sentence using minimum keystroke input and reduced input errors. Here, the system takes the lead in suggesting symbol candidates to the user. In our experiments, we use a decision tree. This is a machine learning method for automatically setting strategies in order to set the order of the symbol candidates. In our experiments, the proposed method reduces the number of key strokes by 87.6%.
Year
DOI
Venue
2019
10.1109/BIGCOMP.2019.8679204
BigComp
Keywords
Field
DocType
Decision trees,Communication systems,Information retrieval,Uncertainty,Software,Machine learning,Assistive technology
Decision tree,Symbol,Computer science,Keystroke logging,Communications system,Event (computing),Software,Natural language processing,Artificial intelligence,Sentence,Augmentative and alternative communication
Conference
ISSN
ISBN
Citations 
2375-933X
978-1-5386-7789-6
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yoonseok Heo122.10
Sangwoo Kang2166.57