Literature DB >> 10147209

Learning and performance of able-bodied individuals using scanning systems with and without word prediction.

H H Koester1, S P Levine.   

Abstract

This study examines how the cognitive and perceptual loads introduced by a word prediction feature impact learning and performance. Two groups of able-bodied subjects transcribed text using two row-column scanning systems for 10 consecutive trials each. The two systems differed only in that one system had a word prediction feature. Subject groups differed in their order of system use. The results show that, under the conditions of this study, the word prediction system was not substantially more difficult to learn, but it did not yield a statistically significant improvement in text generation rate. This suggests that the cost of using this word prediction system balanced the benefit of the keystroke savings achieved by these subjects. The relationship between keystroke savings, cost in item selection rate, and improvement in text generation rate is explored in order to provide insight into this outcome.

Entities:  

Mesh:

Year:  1994        PMID: 10147209     DOI: 10.1080/10400435.1994.10132226

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  8 in total

1.  Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.

Authors:  D B Ryan; G E Frye; G Townsend; D R Berry; S Mesa-G; N A Gates; E W Sellers
Journal:  Int J Hum Comput Interact       Date:  2011-01-01       Impact factor: 3.353

2.  Huffman and linear scanning methods with statistical language models.

Authors:  Brian Roark; Melanie Fried-Oken; Chris Gibbons
Journal:  Augment Altern Commun       Date:  2015-02-12       Impact factor: 2.214

3.  Leveraging user's performance in reporting patient safety events by utilizing text prediction in narrative data entry.

Authors:  Yang Gong; Lei Hua; Shen Wang
Journal:  Comput Methods Programs Biomed       Date:  2016-04-08       Impact factor: 5.428

4.  Text prediction on structured data entry in healthcare: a two-group randomized usability study measuring the prediction impact on user performance.

Authors:  L Hua; S Wang; Y Gong
Journal:  Appl Clin Inform       Date:  2014-03-19       Impact factor: 2.342

5.  Discrete Versus Continuous Mapping of Facial Electromyography for Human-Machine Interface Control: Performance and Training Effects.

Authors:  Gabriel J Cler; Cara E Stepp
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-01-20       Impact factor: 3.802

6.  Performance assessment in brain-computer interface-based augmentative and alternative communication.

Authors:  David E Thompson; Stefanie Blain-Moraes; Jane E Huggins
Journal:  Biomed Eng Online       Date:  2013-05-16       Impact factor: 2.819

Review 7.  Language model applications to spelling with Brain-Computer Interfaces.

Authors:  Anderson Mora-Cortes; Nikolay V Manyakov; Nikolay Chumerin; Marc M Van Hulle
Journal:  Sensors (Basel)       Date:  2014-03-26       Impact factor: 3.576

8.  Fast and flexible selection with a single switch.

Authors:  Tamara Broderick; David J C MacKay
Journal:  PLoS One       Date:  2009-10-22       Impact factor: 3.240

  8 in total

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