Artificial Intelligence and Augmentative and Alternative Communication AAC
NCT ID: NCT06599996
Last Updated: 2025-06-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
6 participants
INTERVENTIONAL
2024-09-24
2025-05-01
Brief Summary
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Detailed Description
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Although augmentative and alternative communication is widely-used and evidence-based, there are particular challenges in designing augmentative and alternative communication for individuals with visual and concomitant motor impairments. Unlike spoken language, in much of aided augmentative and alternative communication the vocabulary items are visual (letters, words, symbols) and only a limited number of items can be displayed at a time, since they must be presented on an external device (such as a tablet or a dedicated device). To maximize available vocabulary, clinicians often place many symbols onto the small display. Although this strategy can be useful for some people - and does maximize vocabulary visible on any given page - it is a substantial problem for individuals with visual impairments who cannot either see (ocular) or process (cortical) the visual information. In addition, access to these vocabulary items often involves use of a finger or eye gaze to select a symbol or a limb to activate a switch. These types of repetitive selections may be difficult and fatiguing for individuals with motor disabilities. As a consequence, traditional methods of accessing augmentative and alternative communication that work for other individuals are selectively more difficult for those with visual impairment and motor disabilities. There is an urgent need to develop augmentative and alternative communication technologies that reduce the visual and motoric burden for such individuals.
This project seeks to substantially increase the flexibility of aided augmentative and alternative communication access in part through a reconsideration of the traditional distinction made between aided (i.e., technology assisted) and unaided (i.e., body-based) communication modes. Aided communication modes offer the power of symbolic communication that is readily understood by many communication partners, even those who are unfamiliar with the individual using augmentative and alternative communication. However, aided modes can be quite limiting in terms of the vocabulary available, speed of message preparation, environmental constraints, and ability to support natural conversations. Unaided communication modes, on the other hand, can involve a diverse range of natural movements that are well within the skill set of the user, and can be rapidly produced with low effort. The drawback of unaided modes is that they are often difficult for unfamiliar partners to understand, thus limiting the range of potential communication partners and necessitating the proximity of a communication partner to the augmentative and alternative communication user to observe the body-based communication.
Given contemporary technology, it is both theoretically and practically possible to substantially increase access to aided augmentative and alternative communication by leveraging the ability of technology to sense and interpret unaided input ranging from natural air gestures to facial expressions and/or other intentional movement patterns. Harnessing unaided inputs as a supplemental means for access to technology will marry the power of the aided symbolic communication with the ease, speed, and unique movements employed by individual users. In so doing, it will shift the burden of access from the user (at least in part) onto the aided augmentative and alternative communication technologies themselves. Indeed, building flexible technologies that are tailored to the motor and visual skills of individuals with disabilities is well within the capabilities of modern devices and is an active area of research in Human-Computer Interaction and accessible computing.
This project will test artificial intelligence algorithms that are capable of interpreting idiosyncratic, individual-specific unaided gestures for augmentative and alternative communication access. This proposed system is intended to be human-centered, use-inspired, and readily-programmed, to empower both the user and their communication partners who may be involved in augmentative and alternative communication services. The project will solicit individuals with a wide range of motor disabilities to ensure the algorithms are widely applicable.
Conditions
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Study Design
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NA
SINGLE_GROUP
DEVICE_FEASIBILITY
NONE
Study Groups
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Evaluation of learnability and utility of artificial intelligence algorithm
Participants will be learning to use the artificial intelligence algorithms and testing them for ease of use and efficiency
Testing artificial intelligence algorithms for interpreting gestures
The effectiveness of artificial intelligence algorithms for detecting and interpreting body-based gestures by individuals who have motor/visual impairments will be evaluated.
Interventions
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Testing artificial intelligence algorithms for interpreting gestures
The effectiveness of artificial intelligence algorithms for detecting and interpreting body-based gestures by individuals who have motor/visual impairments will be evaluated.
Eligibility Criteria
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Inclusion Criteria
* Can/will tolerate a small biosensor (about the size of a medallion) attached to a limb (for instance, wrist or elbow) embedded within a soft wrist band
Exclusion Criteria
* Cannot tolerate a small biosensor (about the size of a medallion) attached to a limb (for instance, wrist or elbow) with a soft wrist band
18 Years
ALL
No
Sponsors
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Penn State University
OTHER
Responsible Party
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Krista Wilkinson
Distinguished Professor
Locations
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The Pennsylvania State University
University Park, Pennsylvania, United States
Countries
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References
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Brady NC, Bruce S, Goldman A, Erickson K, Mineo B, Ogletree BT, Paul D, Romski MA, Sevcik R, Siegel E, Schoonover J, Snell M, Sylvester L, Wilkinson K. Communication Services and Supports for Individuals With Severe Disabilities: Guidance for Assessment and Intervention. Am J Intellect Dev Disabil. 2016 Mar;121(2):121-38. doi: 10.1352/1944-7558-121.2.121.
Koch Fager S, Fried-Oken M, Jakobs T, Beukelman DR. New and emerging access technologies for adults with complex communication needs and severe motor impairments: State of the science. Augment Altern Commun. 2019 Mar;35(1):13-25. doi: 10.1080/07434618.2018.1556730. Epub 2019 Jan 21.
Sennott SC, Akagi L, Lee M, Rhodes A. AAC and Artificial Intelligence (AI). Top Lang Disord. 2019 Oct-Dec;39(4):389-403. doi: 10.1097/tld.0000000000000197.
Sowers DJ, Wilkinson KM. Demands Associated With an Augmentative and Alternative Communication System in Relation to Alternative Forms of Access for Individuals With Motor Impairments. Am J Speech Lang Pathol. 2023 Jan 11;32(1):37-54. doi: 10.1044/2022_AJSLP-22-00006. Epub 2023 Jan 4.
Wilkinson KM, Elko LR, Elko E, McCarty TV, Sowers DJ, Blackstone S, Roman-Lantzy C. An Evidence-Based Approach to Augmentative and Alternative Communication Design for Individuals With Cortical Visual Impairment. Am J Speech Lang Pathol. 2023 Sep 11;32(5):1939-1960. doi: 10.1044/2023_AJSLP-22-00397. Epub 2023 Aug 18.
Other Identifiers
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STUDY00024786
Identifier Type: -
Identifier Source: org_study_id
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