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    <titleInfo>
        <title>ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons</title>
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        <namePart type="given">Matthew</namePart>
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            <title>Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022)</title>
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            <namePart type="given">Sarah</namePart>
            <namePart type="family">Ebling</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Emily</namePart>
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            <namePart type="given">Preethi</namePart>
            <namePart type="family">Vaidyanathan</namePart>
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    <abstract>Many people with severely limited muscle control can only communicate through augmentative and alternative communication (AAC) systems with a small number of buttons. In this paper, we present the design for ColorCode, which is an AAC system with two buttons that uses Bayesian inference to determine what the user wishes to communicate. Our information-theoretic analysis of ColorCode simulations shows that it is efficient in extracting information from the user, even in the presence of errors, achieving nearly optimal error correction. ColorCode is provided as open source software.</abstract>
    <identifier type="citekey">daly-2022-colorcode</identifier>
    <identifier type="doi">10.18653/v1/2022.slpat-1.2</identifier>
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%0 Conference Proceedings
%T ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons
%A Daly, Matthew
%Y Ebling, Sarah
%Y Prud’hommeaux, Emily
%Y Vaidyanathan, Preethi
%S Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022)
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F daly-2022-colorcode
%X Many people with severely limited muscle control can only communicate through augmentative and alternative communication (AAC) systems with a small number of buttons. In this paper, we present the design for ColorCode, which is an AAC system with two buttons that uses Bayesian inference to determine what the user wishes to communicate. Our information-theoretic analysis of ColorCode simulations shows that it is efficient in extracting information from the user, even in the presence of errors, achieving nearly optimal error correction. ColorCode is provided as open source software.
%R 10.18653/v1/2022.slpat-1.2
%U https://aclanthology.org/2022.slpat-1.2
%U https://doi.org/10.18653/v1/2022.slpat-1.2
%P 17-23

Markdown (Informal)

[ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons](https://aclanthology.org/2022.slpat-1.2) (Daly, SLPAT 2022)

• ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons (Daly, SLPAT 2022)

ACL

• Matthew Daly. 2022. ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons. In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), pages 17–23, Dublin, Ireland. Association for Computational Linguistics.