Leveraging Communication Partner Speech to Automate Augmented Input for Children on the Autism Spectrum Who Are Minimally Verbal: Prototype Development and Preliminary Efficacy Investigation.
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| Title: | Leveraging Communication Partner Speech to Automate Augmented Input for Children on the Autism Spectrum Who Are Minimally Verbal: Prototype Development and Preliminary Efficacy Investigation. |
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| Authors: | Holyfield, Christine1 ceholyfi@uark.edu, MacNeil, Stephen2, Caldwell, Nicolette1, Zimmerman, Tara O’Neill1, Lorah, Elizabeth3, Dragut, Eduard2, Vucetic, Slobodan2 |
| Source: | American Journal of Speech-Language Pathology. May2024, Vol. 33 Issue 3, p1174-1192. 19p. |
| Subject Terms: | *Diffusion of innovations, *Autism, *Artificial intelligence, *Attention, *Communication, *Automation, *Speech disorders, *Inter-observer reliability, Speech, Facilitated communication, Linguistics |
| Abstract: | Purpose: Augmentative and alternative communication (AAC) technology innovation is urgently needed to improve outcomes for children on the autism spectrum who are minimally verbal. One potential technology innovation is applying artificial intelligence (AI) to automate strategies such as augmented input to increase language learning opportunities while mitigating communication partner time and learning barriers. Innovation in AAC research and design methodology is also needed to empirically explore this and other applications of AI to AAC. The purpose of this report was to describe (a) the development of an AAC prototype using a design methodology new to AAC research and (b) a preliminary investigation of the efficacy of this potential new AAC capability. Method: The prototype was developed using a Wizard-of-Oz prototyping approach that allows for initial exploration of a new technology capability without the time and effort required for full-scale development. The preliminary investigation with three children on the autism spectrum who were minimally verbal used an adapted alternating treatment design to compare the effects of a Wizard-of-Oz prototype that provided automated augmented input (i.e., pairing color photos with speech) to a standard topic display (i.e., a grid display with line drawings) on visual attention, linguistic participation, and (for one participant) word learning during a circle activity. Results: Preliminary investigation results were variable, but overall participants increased visual attention and linguistic participation when using the prototype. Conclusions: Wizard-of-Oz prototyping could be a valuable approach to spur much needed innovation in AAC. Further research into efficacy, reliability, validity, and attitudes is required to more comprehensively evaluate the use of AI to automate augmented input in AAC. [ABSTRACT FROM AUTHOR] |
| Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 177020401 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Leveraging Communication Partner Speech to Automate Augmented Input for Children on the Autism Spectrum Who Are Minimally Verbal: Prototype Development and Preliminary Efficacy Investigation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Holyfield%2C+Christine%22">Holyfield, Christine</searchLink><relatesTo>1</relatesTo><i> ceholyfi@uark.edu</i><br /><searchLink fieldCode="AR" term="%22MacNeil%2C+Stephen%22">MacNeil, Stephen</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Caldwell%2C+Nicolette%22">Caldwell, Nicolette</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zimmerman%2C+Tara+O’Neill%22">Zimmerman, Tara O’Neill</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lorah%2C+Elizabeth%22">Lorah, Elizabeth</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Dragut%2C+Eduard%22">Dragut, Eduard</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Vucetic%2C+Slobodan%22">Vucetic, Slobodan</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Speech-Language+Pathology%22">American Journal of Speech-Language Pathology</searchLink>. May2024, Vol. 33 Issue 3, p1174-1192. 19p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Diffusion+of+innovations%22">Diffusion of innovations</searchLink><br />*<searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Attention%22">Attention</searchLink><br />*<searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br />*<searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br />*<searchLink fieldCode="DE" term="%22Speech+disorders%22">Speech disorders</searchLink><br />*<searchLink fieldCode="DE" term="%22Inter-observer+reliability%22">Inter-observer reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Speech%22">Speech</searchLink><br /><searchLink fieldCode="DE" term="%22Facilitated+communication%22">Facilitated communication</searchLink><br /><searchLink fieldCode="DE" term="%22Linguistics%22">Linguistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Augmentative and alternative communication (AAC) technology innovation is urgently needed to improve outcomes for children on the autism spectrum who are minimally verbal. One potential technology innovation is applying artificial intelligence (AI) to automate strategies such as augmented input to increase language learning opportunities while mitigating communication partner time and learning barriers. Innovation in AAC research and design methodology is also needed to empirically explore this and other applications of AI to AAC. The purpose of this report was to describe (a) the development of an AAC prototype using a design methodology new to AAC research and (b) a preliminary investigation of the efficacy of this potential new AAC capability. Method: The prototype was developed using a Wizard-of-Oz prototyping approach that allows for initial exploration of a new technology capability without the time and effort required for full-scale development. The preliminary investigation with three children on the autism spectrum who were minimally verbal used an adapted alternating treatment design to compare the effects of a Wizard-of-Oz prototype that provided automated augmented input (i.e., pairing color photos with speech) to a standard topic display (i.e., a grid display with line drawings) on visual attention, linguistic participation, and (for one participant) word learning during a circle activity. Results: Preliminary investigation results were variable, but overall participants increased visual attention and linguistic participation when using the prototype. Conclusions: Wizard-of-Oz prototyping could be a valuable approach to spur much needed innovation in AAC. Further research into efficacy, reliability, validity, and attitudes is required to more comprehensively evaluate the use of AI to automate augmented input in AAC. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2023_AJSLP-23-00224 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1174 Subjects: – SubjectFull: Diffusion of innovations Type: general – SubjectFull: Autism Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Attention Type: general – SubjectFull: Communication Type: general – SubjectFull: Automation Type: general – SubjectFull: Speech disorders Type: general – SubjectFull: Inter-observer reliability Type: general – SubjectFull: Speech Type: general – SubjectFull: Facilitated communication Type: general – SubjectFull: Linguistics Type: general Titles: – TitleFull: Leveraging Communication Partner Speech to Automate Augmented Input for Children on the Autism Spectrum Who Are Minimally Verbal: Prototype Development and Preliminary Efficacy Investigation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Holyfield, Christine – PersonEntity: Name: NameFull: MacNeil, Stephen – PersonEntity: Name: NameFull: Caldwell, Nicolette – PersonEntity: Name: NameFull: Zimmerman, Tara O’Neill – PersonEntity: Name: NameFull: Lorah, Elizabeth – PersonEntity: Name: NameFull: Dragut, Eduard – PersonEntity: Name: NameFull: Vucetic, Slobodan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10580360 Numbering: – Type: volume Value: 33 – Type: issue Value: 3 Titles: – TitleFull: American Journal of Speech-Language Pathology Type: main |
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