Video Assisted Speech Technology to Enhance Motor Planning for Speech
VAST
1 other identifier
interventional
6
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Dec 2019
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 30, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
November 30, 2020
CompletedFirst Submitted
Initial submission to the registry
February 9, 2021
CompletedFirst Posted
Study publicly available on registry
February 21, 2021
CompletedResults Posted
Study results publicly available
May 9, 2023
CompletedMay 9, 2023
April 1, 2023
1 year
February 9, 2021
June 10, 2022
April 16, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
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.
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.
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 Outcomes (3)
Parent Perceptions of Communication Changes, Resulting From Study Participation.
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.
Change in Type-Token Ratios
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.
Increase in Response Rate to Treatment Stimuli
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.
Study Arms (2)
Stimuli administered via 2D format on an iPad Pro
ACTIVE COMPARATORParticipants were given the Video-Assisted Speech Therapy (VAST) video-modeling stimuli in a 2D format (iPad Pro). Three children with ASD, between the ages of 4 and 8, participated in a 14-sessions-long study that utilized the tablet-based VAST application. Sessions were held twice a week with each lasting approximately 15 minutes (i.e. +/- 5 minutes).
Stimuli administered in 3D format via VR goggles and bone conduction headphones
ACTIVE COMPARATORParticipants were given the Video-Assisted Speech Therapy (VAST) video-modeling stimuli in a VR format paired with a custom 3D-printed VR headset. Three children with ASD, between the ages of 4 and 8, participated in a 14-sessions-long study that utilized a 3D VR-integrated VAST prototype with bone conduction audio. Sessions were held twice a week with each lasting approximately 15 min (i.e. +/- 5 minutes).
Interventions
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).
Eligibility Criteria
You may qualify if:
- Nonverbal-minimally verbal children (0-5 words)
- Diagnosis of Autism Spectrum Disorder
You may not qualify if:
- No history of seizures for participating with VR goggles.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
All research was conducted via tele-research due to COVID-19
Vallejo, California, 94591, United States
Related Publications (14)
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.
PMID: 29701730BACKGROUNDAutism Spectrum Disorder: Communication Problems in Children. (2018, August 30). Retrieved from https://www.nidcd.nih.gov/health/autism-spectrum-disorder-communication-problems-children
BACKGROUNDMaas 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).
PMID: 18663111BACKGROUNDBent 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.
PMID: 25901707BACKGROUNDLord, 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.
BACKGROUNDJang J, Matson JL, Williams LW, Tureck K, Goldin RL, Cervantes PE. RETRACTED: Rates of comorbid symptoms in children with ASD, ADHD, and comorbid ASD and ADHD. Res Dev Disabil. 2013 Aug;34(8):2369-78. doi: 10.1016/j.ridd.2013.04.021. Epub 2013 May 22.
PMID: 23708709BACKGROUNDBattle DE. Diagnostic and Statistical Manual of Mental Disorders (DSM). Codas. 2013;25(2):191-2. doi: 10.1590/s2317-17822013000200017. No abstract available.
PMID: 24413388BACKGROUNDSymptoms and Diagnosis of ADHD | CDC. (n.d.). Retrieved from https://www.cdc.gov/ncbddd/adhd/diagnosis.html.
BACKGROUNDSarah 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
BACKGROUNDStrickland 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.
PMID: 20072702BACKGROUNDEvers, 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
BACKGROUNDStrickland 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.
PMID: 8986851BACKGROUNDHandbook of Sensory Physiology - rd.springer.com. (n.d.). Retrieved from https://rd.springer.com/content/pdf/bfm:978-3-642-88658-4/1.pdf
BACKGROUNDWhy 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.
BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
The original research plan called for testing 30 children; however, the pandemic and lockdowns required heavy modification to the research plan. We modified the design to allow subjects to participate in the study remotely. We faced further challenges in recruiting a large enough subject pool, which resulted in our recruiting 10 participants. However, despite our best efforts, the study suffered attrition of four subjects shortly before the beginning, resulting in a final N of 6.
Results Point of Contact
- Title
- Lois Brady, CEO
- Organization
- iTherapy, LLC
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
February 9, 2021
First Posted
February 21, 2021
Study Start
December 1, 2019
Primary Completion
November 30, 2020
Study Completion
November 30, 2020
Last Updated
May 9, 2023
Results First Posted
May 9, 2023
Record last verified: 2023-04
Data Sharing
- IPD Sharing
- Will not share
All data from individual participants will be kept private.