Video Assisted Speech Technology to Enhance Motor Planning for Speech

Autism Spectrum Disorder Clinical Trial

— VAST  

Official title:

Video Assisted Speech Technology to Enhance Functional Language Abilities in Individuals With Autism Spectrum Disorder

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04764539
• Other study ID #: 1R43DC018447-01
• Secondary ID: 1R43DC018447-01
• Status: Completed
• Phase: N/A
• Start date: December 1, 2019
• Est. completion date: November 30, 2020

Study information

• Verified date: April 2023
• Source: iTherapy, LLC
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Nearly 3.5 million Americans are diagnosed with Autistic Spectrum Disorder (ASD), a communication disorder that causes skill limitations in the areas of language acquisition, sensory integration, and behavior. This lack of functional language ability limits conversation to its most basic parts, making daily tasks difficult for minimally to non-verbal individuals to achieve. iTherapy is developing the VAST platform, a personalized educational experience for students with ASD by creating a virtual reality-based video-modeling program to stimulate engagement and speech production practice, ultimately providing those with ASD an opportunity to enhance their quality of life by increasing their speech abilities which will enable them to build social networks and handle the events of daily life.

Description:

Autism Spectrum Disorder (ASD) is a neurodevelopmental communication disorder resulting in functional language and behavioral delays affecting over 3.5 million Americans. These delays vary with the severity of symptoms that present in ASD but often result in limited speech and increased communication challenges. Alongside linguistic acquisition, oral motor coordination is a crucial part of speech production. Current clinical techniques have shown varying degrees of efficacy in improving functional language proficiency. Most techniques follow a drill-like procedure, where the child is made to repeat various sounds and phrases until they are retained. However, such a process requires potentially over twenty therapy sessions to show improvement which may then only be focused on one aspect of speech. This significantly limits the linguistic and social skills a student will acquire. To improve the efficacy of these therapy sessions, new technology must be developed to provide the most effective educational experience. Video-assisted speech technology (VAST) is a method of using a video of a close-up model of the mouth and speaking simultaneously with it. Rather than present the individual with a static photograph of the initial phoneme, the entire sequence of oral movements can be presented sequentially via video-recorded segments of the orofacial area producing connected speech, combining best practices, video modeling, and literacy with auditory cues to provide unprecedented support the development of vocabulary, word combinations and communication. In this SBIR Phase I proposal, iTherapy will develop a personalized educational experience for students with ASD by creating a virtual reality (VR) based VAST program to stimulate engagement and speech production practice. VR offers several benefits as a therapy technique: overcoming sensory difficulties, more effectively generalizing information, employing visual learning, and providing individualized treatment. As a user moves through the stages of the program, they will be immersed in a proactive environment where they will engross themselves with continuous content. Rather than present the individual with a static photograph of the initial phoneme, the entire sequence of oral movements can be presented sequentially via VR-modelled segments of the orofacial area producing connected speech, combining best practices, video modeling, music therapy, and literacy with auditory cues to provide unprecedented support the development of vocabulary, word combinations and communication. The innovation will be a video series of a realistic VR mouth which will require the use of an app on a tablet or a smartphone, VR goggles, and bone conduction headphones.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 6
• Est. completion date: November 30, 2020
• Est. primary completion date: November 30, 2020
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 4 Years to 8 Years

Eligibility

Inclusion Criteria:

• Nonverbal-minimally verbal children (0-5 words)
• Diagnosis of Autism Spectrum Disorder

Exclusion Criteria:

• No history of seizures for participating with VR goggles.

Related Conditions & MeSH terms

• Apraxia of Speech
• Apraxias
• Autism Spectrum Disorder
• Autistic Disorder

Intervention

Behavioral:
• Video Assisted Speech Therapy (VAST)
Six children with ASD, between the ages of 4 and 8, participated in a 14-sessions-long study that utilized the VR-integrated and the tablet-based VAST application. Three subjects received a 3D VR-integrated, bone conduction VAST prototype, while the remaining group of three received a tablet with a 2D version of the software. Sessions were held twice a week with each lasting approximately 15 minutes (i.e. +/- 5 minutes).

Locations

Country	Name	City	State
United States	All research was conducted via tele-research due to COVID-19	Vallejo	California

Sponsors (2)

Lead Sponsor	Collaborator
iTherapy, LLC	National Institute on Deafness and Other Communication Disorders (NIDCD)

Country where clinical trial is conducted

United States, 

References & Publications (14)

Autism Spectrum Disorder: Communication Problems in Children. (2018, August 30). Retrieved from https://www.nidcd.nih.gov/health/autism-spectrum-disorder-communication-problems-children

Baio J, Wiggins L, Christensen DL, Maenner MJ, Daniels J, Warren Z, Kurzius-Spencer M, Zahorodny W, Robinson Rosenberg C, White T, Durkin MS, Imm P, Nikolaou L, Yeargin-Allsopp M, Lee LC, Harrington R, Lopez M, Fitzgerald RT, Hewitt A, Pettygrove S, Constantino JN, Vehorn A, Shenouda J, Hall-Lande J, Van Naarden Braun K, Dowling NF. Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014. MMWR Surveill Summ. 2018 Apr 27;67(6):1-23. doi: 10.15585/mmwr.ss6706a1. Erratum In: MMWR Morb Mortal Wkly Rep. 2018 May 18;67(19):564. MMWR Morb Mortal Wkly Rep. 2018 Nov 16;67(45):1280. — View Citation

Bent S, Hendren RL. Complementary and alternative treatments for autism part 1: evidence-supported treatments. AMA J Ethics. 2015 Apr 1;17(4):369-74. doi: 10.1001/journalofethics.2015.17.4.sect1-1504. No abstract available. — View Citation

Diagnostic and Statistical Manual of Mental Disorders (DSM-5). (n.d.). Retrieved from https://www.psychiatry.org/psychiatrists/practice/dsm

Evers, K., Noens, I., Steyaert, J., & Wagemans, J. (2011). Combining strengths and weaknesses in visual perception of children with an autism spectrum disorder: Perceptual matching of facial expressions. Research in Autism Spectrum Disorders,5(4), 1327-1342. doi:10.1016/j.rasd.2011.01.004

Handbook of Sensory Physiology - rd.springer.com. (n.d.). Retrieved from https://rd.springer.com/content/pdf/bfm:978-3-642-88658-4/1.pdf

Lord, C., & Paul, R. (1997). Language and communication in autism. In D. Cohen & F. Volkmar (Eds.), Handbook of autism and pervasive developmental disorders (pp. 195-225). New York, NY: Wiley.

Maas E, Robin DA, Austermann Hula SN, Freedman SE, Wulf G, Ballard KJ, Schmidt RA. Principles of motor learning in treatment of motor speech disorders. Am J Speech Lang Pathol. 2008 Aug;17(3):277-98. doi: 10.1044/1058-0360(2008/025). — View Citation

Rates of comorbid symptoms in children with ASD, ADHD, and comorbid ASD and ADHD. (2013, May 22). Retrieved from https://www.sciencedirect.com/science/article/pii/S0891422213001832

Sarah Parsons & Sue Cobb (2011) State-of-the-art of virtual reality technologies for children on the autism spectrum, European Journal of Special Needs Education, 26:3, 355-366, DOI: 10.1080/08856257.2011.593831

Strickland D, Marcus LM, Mesibov GB, Hogan K. Brief report: two case studies using virtual reality as a learning tool for autistic children. J Autism Dev Disord. 1996 Dec;26(6):651-9. doi: 10.1007/BF02172354. — View Citation

Strickland DC, McAllister D, Coles CD, Osborne S. An Evolution of Virtual Reality Training Designs for Children With Autism and Fetal Alcohol Spectrum Disorders. Top Lang Disord. 2007 Jul 1;27(3):226-241. doi: 10.1097/01.tld.0000285357.95426.72. — View Citation

Symptoms and Diagnosis of ADHD | CDC. (n.d.). Retrieved from https://www.cdc.gov/ncbddd/adhd/diagnosis.html.

Why Speech Rate? Why are results inconclusive? (n.d.). Retrieved from https://www.asha.org/Events/convention/handouts/2007/1337_Chon_Hee_Cheong/ Brown, R. (1973) A First Language London: Allen and Unwin.

* Note: There are 14 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Change in Mean Length of Utterance (MLU)	Participants (aged 4 to 8 years) were given a pre- and post-test 15-minute language sample. MLU was calculated for tests and gain from pre-test to post-test was compared.; NOTE: This measure is calculated based on a change in the number of morphemes per utterance during pre-test and post-test language samples. During a five-minute period, two licensed speech-language pathologists (SLP) observed a parent interacting and talking with their child. Parents Both SLPs transcribed the subjects' speech and calculated a mean length of utterance (MLU) for each subject. MLU was calculated by determining how many bound and free morphemes were included within every spoken utterance produced by a subject. The total number of morphemes produced within the 5-minute period were then divided by total number of utterances, which then produced the MLU for each subject. This procedure was use for determining MLU in both the pre- and post-testing procedures.	Seven weeks--each subject participated in the study twice a week over a 7-week period for a total of 14 sessions. The first and last sessions (session #1 and session #14) were reserved for pre-test and post-test language sample collection and assessment.
Primary	Change in Percentage of Correctly Transcribed Words Using Automatic Speech Recognition	15-minute pre- and post-testing was performed using speech recognition software and transcribed by a licensed speech pathologist. Differences pre and post intervention were compared across group and within groups.; NOTE: During our assessment, we used Google's native closed captioning function (a tool which uses machine learning to recognize and transcribe speech) and a third party app, Tactiq Pins, which allows users to keep a transcript of all speaker utterances during a call. We compared our video to the Tactiq Pin transcripts in order to measure any change in the amount of accurately transcribed spoken words between pre-test and post-test language samples. Specific transcription results for each group can be found in the data tables provided.	Seven weeks--each subject participated in the study twice a week over a 7-week period for a total of 14 sessions. The first and last sessions (session #1 and session #14) were reserved for pre-test and post-test language sample collection and assessment.
Primary	Change in Articulation Accuracy	Change in % of correct phonemes in each attempted stimulus	Seven weeks--each subject participated in the study twice a week over a 7-week period for a total of 14 sessions. The first and last sessions (session #1 and session #14) were reserved for pre-test and post-test language sample collection and assessment.
Secondary	Parent Perceptions of Communication Changes, Resulting From Study Participation.	Parent observations -- perceptions of changes in their children's motor-speech, behavioral, and social communication skills after having participated in the study; Scale title: Net Positive Changes Score Maximum possible value: 18 Minimum possible value: -2 Higher score is better.	Seven weeks--each subject participated in the study twice a week over a 7-week period for a total of 14 sessions. The first and last sessions (session #1 and session #14) were reserved for pre-test and post-test language sample collection and assessment.
Secondary	Change in Type-Token Ratios	A type-token ratio measures the total number of unique words in a given segment of language.	Seven weeks--each subject participated in the study twice a week over a 7-week period for a total of 14 sessions. The first and last sessions (session #1 and session #14) were reserved for pre-test and post-test language sample collection and assessment.
Secondary	Increase in Response Rate to Treatment Stimuli	The change in response rate measures any significant differences in how often children responded to pre- and post-testing stimuli after having received treatment between the iPad Pro and VR goggles groups. A response is considered a verbal or non-verbal reaction (e.g., eye contact, gestures, vocalizations) to the stimuli presented during the therapy sessions. Higher response rates indicate better engagement and responsiveness to the treatment. The change in response rate is calculated as the value at the post-test time point minus the value at the pre-test time point, with positive numbers representing increases and negative numbers representing decreases in response rate.	Seven weeks--each subject participated in the study twice a week over a 7-week period for a total of 14 sessions. The first and last sessions (session #1 and session #14) were reserved for pre-test and post-test language sample collection and assessment.