Bridging the Social & Technical Divide in Augmentative and Alternative Communication (AAC) Applications for Autistic Adults
dc.contributor.author | Martin, Lara J. | |
dc.contributor.author | Nagalakshmi, Malathy | |
dc.date.accessioned | 2024-05-29T14:38:19Z | |
dc.date.available | 2024-05-29T14:38:19Z | |
dc.date.issued | 2024-04-26 | |
dc.description.abstract | Natural Language Processing (NLP) techniques are being used more frequently to improve high-tech Augmentative and Alternative Communication (AAC), but many of these techniques are integrated without the inclusion of the users’ perspectives. As many of these tools are created with children in mind, autistic adults are often neglected in the design of AAC tools to begin with. We conducted in-depth interviews with 12 autistic adults to find the pain points of current AAC and determine what general technological advances they would find helpful. We found that in addition to technological issues, there are many societal issues as well. We found 9 different categories of themes from our interviews: input options, output options, selecting or adapting AAC for a good fit, when to start or swap AAC, benefits (of use), access (to AAC), stumbling blocks for continued use, social concerns, and lack of control. In this paper, we go through these nine categories in depth and then suggest possible guidelines for the NLP community, AAC application makers, and policy makers to improve AAC use for autistic adults. | |
dc.description.sponsorship | This work was funded in part by the National Science Foundation under Grant #2030859 to the Computing Research Association for the CIFellows Project. We would like to extend a special thanks to Dr. Layne Jackson Hubbard and Dr. Alyssa Zisk for looking over the interview questions; Dr. Danaë Metaxa & Dr. Andrew Head for HCI methods help; and Dr. Chris Callison-Burch for being a great postdoc/masters mentor. Extra special thanks to all of our participants! We hope we did your words justice. | |
dc.description.uri | http://arxiv.org/abs/2404.17730 | |
dc.format.extent | 20 pages | |
dc.genre | journal articles | |
dc.genre | preprints | |
dc.identifier | doi:10.13016/m2su0e-zgnr | |
dc.identifier.uri | https://doi.org/10.48550/arXiv.2404.17730 | |
dc.identifier.uri | http://hdl.handle.net/11603/34336 | |
dc.language.iso | en_US | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department | |
dc.rights | CC BY 4.0 DEED Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Computer Science - Computation and Language | |
dc.subject | Computer Science - Human-Computer Interaction | |
dc.title | Bridging the Social & Technical Divide in Augmentative and Alternative Communication (AAC) Applications for Autistic Adults | |
dc.type | Text | |
dcterms.creator | https://orcid.org/0000-0002-0623-599X |
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