Artificial Intelligence and Augmentative and Alternative Communication AAC

NCT ID: NCT06599996

Last Updated: 2025-06-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

6 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-09-24

Study Completion Date

2025-05-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The overarching objective of this project is to transform access to assistive communication technologies (augmentative and alternative communication) for individuals with motor disabilities and/or visual impairment, for whom natural speech is not meeting their communicative needs. These individuals often cannot access traditional augmentative and alternative communication because of their restricted movement or visual function. However, most such individuals have idiosyncratic body-based means of communication that is reliably interpreted by familiar communication partners. The project will test artificial intelligence algorithms that gather information from sensors or camera feeds about these idiosyncratic movement patterns of the individual with motor/visual impairments. Based on the sensor or camera feed information, the artificial intelligence algorithms will interpret the individual's gestures and translate the interpretation into speech output. For instance, if an individual waves their hand as their means of communicating "I want", the artificial intelligence algorithm will detect that gesture and prompt the speech-generating technology to produce the spoken message "I want." This will allow individuals with restricted but idiosyncratic movements to access the augmentative and alternative communication technologies that are otherwise out of reach.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

As noted in the Communication Bill of Rights from the National Joint Committee on the Communication Needs of Persons with Severe Disabilities, "All people with a disability of any extent or severity have a basic right to affect, through communication, the conditions of their existence." Access to speech-language therapies that promote optimal communication outcomes is also noted to be a fundamental right by the United Nation's Article 19 of the Convention on the Rights of Persons with Disabilities. Yet many individuals with physical or intellectual disabilities have language limitations that prevent them from using speech as their primary mode of communication. For these individuals, assistive communication technologies (augmentative and alternative communication) offer an important set of supports for realizing this critical human right.

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

See the medical conditions and disease areas that this research is targeting or investigating.

Cerebral Palsy Cortical Visual Impairment

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DEVICE_FEASIBILITY

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

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

Group Type EXPERIMENTAL

Testing artificial intelligence algorithms for interpreting gestures

Intervention Type DEVICE

The effectiveness of artificial intelligence algorithms for detecting and interpreting body-based gestures by individuals who have motor/visual impairments will be evaluated.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

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.

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Have motor impairment, which can present in diverse/multiple ways, including spasticity, ataxia, or dystonia (these types of movement disorders are different from one another, and can result from diverse genetic conditions or injury to the brain before or shortly after birth, and generally all fall under the umbrella term cerebral palsy or movement disorder). Note: Presence of intellectual disability in addition to motor disability is not an exclusionary criteria, meaning that we will include both individuals with intact intellectual ability as well as those with intellectual disability
* 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

* Do not have motor disabilities
* 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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Penn State University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Krista Wilkinson

Distinguished Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

The Pennsylvania State University

University Park, Pennsylvania, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type BACKGROUND
PMID: 26914467 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 30663899 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 34012187 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 36599109 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 37594735 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

STUDY00024786

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Measuring Aided Language Development
NCT06512168 RECRUITING NA
Milieu Teaching-AV (MT-AV Pilot)
NCT06794476 RECRUITING NA