Cited by 41Assistive Technology in Communication and MobilityGaze Tracking and Assistive TechnologyTactile and Sensory Interactions

The effects of word prediction on communication rate for AAC

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Trnka, Keith, Yarrington, Debra, McCaw, John, McCoy, Kathleen F., Pennington, Christopher·2007·Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX - NAACL '07

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.

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • AAC typically do not exceed 15 WPM.

    “This would likely provide substantial improvements over AAC, which typically do not exceed 15 WPM (refs. 146–148).”

    From The speech neuroprosthesis (2024) · cites this paper as [146]

  • TTS system performance is often described using mel-cepstral distortion and open-ended human-transcribed WER.

    “The performance of TTS systems is often described using mel-cepstral distortion (MCD) and open-ended human-transcribed WER149,150.”

    From The speech neuroprosthesis (2024) · cites this paper as [149]

    The Approach and Results sections evaluate AAC word prediction using communication rate, keystrokes, and related measures. Searches for mel-cepstral distortion, TTS, and human-transcribed word error rate found no passage addressing how TTS performance is described. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

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References 6 · Cited by 41

Research works printed but not linked: 1

  1. Gregory W. Lesher and D. Jeffery Higginbotham. 2005. Using web content to enhance augmentative commu- nication. In Proceedings of CSUN 2005.

Authors
Trnka, K., Yarrington, D., McCaw, J., McCoy, K. F., & Pennington, C.
Affiliations
University of Delaware (US)
Venue
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX - NAACL '07
Published
2007
Pages
173-176
OpenAlex
W2118519983
Cited by
41
References
6
Citations by year
2026: 1 · 2024: 3 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 5 · 2016: 1 · 2015: 4 · 2013: 1 · 2012: 3
FWCI
15.50
Type
conference paper
Language
en
Open access
Locations
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (publishedVersion)
Topics
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Keywords
augmentative and alternative communication, word prediction, communication rate, AAC devices, prediction accuracy, speech rate, communication gap, user study

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