PRE2024 3 Group3
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Members
| Name | Student number | Study | |
| Andreas Sinharoy | 1804987 | Computer Science and Engineering | a.sinharoy@student.tue.nl |
| Luis Fernandez Gu | |||
| Alex Gavriliu | |||
| Theophile Guillet | 1787039 | Computer Science and Engineering | t.p.p.m.guillet@student.tue.nl |
| Petar Rustić |
Planning
Roadmap
Week 1: Problem ideation and specification
Week 2: Robot design and specifications
Week 3: Begin construction of prototype of the robot
Week 4: Conduct interviews with relevant user groups
Week 5: Finish prototype of robot
Week 6: Gather feedback for the prototype
Week 7: Finalize the prototype after having taken feedback into account
Milestones
- Selecting who and what problem we are going to address
- Selecting how our robot shall address our problem
- Conducting research and a literature review on our topic
- Creating a design for the robot
- Conducting interviews to gauge the receptiveness of the robot
- Speaking with our primary user group to obtain their feedback on our proposed solution
- Creating a protoype of the robot
Introduction
Problem Statement
In the Netherlands, the dominant model for speech and language (SLT) services is individual direct therapy in SLT practices with a dosage of 25 to 30 minute weekly sessions. However, currently Dutch SLT therapy practices have waiting lists of 6 to 12 months for children with speech, language, and communication needs (SLCN) (citation). Furthermore, globally there is a shortage of speech-language pathologists in regards to their demand as there are a limited number of openings in graduate programs and the increased need for SLPs as their scope of practice widens, the autism rate grows, and the population ages (citation). Not only is there a growing unmet demand for aiding people diagnosed with speech impediments, but the number of people, and especially children, who remain undiagnosed is also an issue. For example, according to research done by (citation), boys were referred earlier than girls, and monolingual children were revealed earlier than bilingual children. On top of that, bilingual children seemed to have more complex problems at referral. The paper indicated the existence of a large body of undiagnosed girls and bilingual children with speech impediments. Therefore, for our project, we aim to address the issue of an overburdened speech therapy healthcare system by attempting to aid therapists in the practice sessions and road to recovery, allowing for them to receive and diagnose more patients.
Objectives
- Find which aspect of the issues surrounding speech impediments - whether it's impediment diagnosis, treatment, or obstacles becoming a speech-language therapist - can be feasibly influenced by a robot to minimize the burden placed on this part of the healthcare system.
- To measure and track the direct impact our robot can make on the system as a whole.
Hypothesis
If we can provide a robot which assists and allows for independent treatment done by patients of speech-language therapists, then the healthcare system for this issue will be less overburdened allowing for an improved efficiency in regards to both speech impairment diagnoses and treatments.
USE Analysis
Users
Personas
Scenarios
Requirements
Society
Enterprise
State of the Art
Requirements
MoSCoW Analysis
Functionality
Usage
Performance
Legal & Privacy Concerns
Data Collection & Storage
User Privacy & Consent
Security Measures
Legal Compliance & Regulations
Ethical Considerations
Third-Party Integrations & Data Sharing
Liability & Accountability
User Safety & Compliance
Design
Prototype
The prototype proposed, is focused in addressing the challenges and requirement specified earlier on the report. The traditional digonsitc test are often extremely long: two to three hours, which lead to fatigue on both patients and therapist side. As a result, the patient will experience the test as extremely uncomfortable, and the therapist exhaustion will lead to a reduced accuracy of the diagnostic. The protoype will therefore break down these diagnostic into short, disgisued games, without the need of speech therapist supervision. It will be an interactive device that will ask closed/open ended question to the patient that are specifically chosen by a speach therapist or from a already existing test. Once the question posed the robot will then record both in audion and video the response of the patient to be then reviewed at a later stage. Since all the response are stored digitally this will allow diagnotic to be performed abroad in areas, in rural areas lacking speach therapists. By allowing the therapist to rewind, replay, or pause, the digital diagnostic would guarantee a more thorough analysis and lower the risk of missing details.
The prototype will hopefully reduce patient stress and fatigue due to the test being broken down. It will lessen the workload of the speech therapisits, while also improving reliability allowing mutliple therapist review the recording whenver it is convient for them, reducing individual biass.
Device Description
System Specification
Software
Testing
Interviews
Introduction
Method
Analysis
Results
Conclusion
Bibliography
https://my.clevelandclinic.org/health/articles/24602-speech-language-pathologist
https://idcchealth.org/blogs/how-much-does-online-speech-therapy-cost/
https://www.hollandzorg.com/insured/reimbursements2025/speech-therapy
https://pmc.ncbi.nlm.nih.gov/articles/PMC7383695/
https://www.belganewsagency.eu/nearly-one-fifth-fewer-speech-therapy-students-in-ten-years-time
chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://files.eric.ed.gov/fulltext/EJ1135588.pdf
Appendix
Time reporting
Week 1
| Name | Task | Time spent |
| Andreas Sinharoy | Robot and Problem Ideation and Research into the Idea | 2 hours |
| Luis Fernandez Gu | ||
| Alex Gavriliu | Research into data privacy requirements in EU | 1 hour |
| Theophile Guillet | ||
| Petar Rustić | ||
| All |
Week 2
| Name | Task | Time spent |
| Andreas Sinharoy | Writing the Planning and Introduction sections of the wiki page | 2 hours |
| Luis Fernandez Gu | ||
| Alex Gavriliu | creating appropriate structure for legal and privacy section | 1 hours |
| Theophile Guillet | ||
| Petar Rustić | ||
| All |
Week 3
| Name | Task | Time spent |
| Andreas Sinharoy | ||
| Luis Fernandez Gu | ||
| Alex Gavriliu | ||
| Theophile Guillet | ||
| Petar Rustić | ||
| All |
Week 4
| Name | Task | Time spent |
| Andreas Sinharoy | ||
| Luis Fernandez Gu | ||
| Alex Gavriliu | ||
| Theophile Guillet | ||
| Petar Rustić | ||
| All |
Week 5
| Name | Task | Time spent |
| Andreas Sinharoy | ||
| Luis Fernandez Gu | ||
| Alex Gavriliu | ||
| Theophile Guillet | ||
| Petar Rustić | ||
| All |
Week 6
| Name | Task | Time spent |
| Andreas Sinharoy | ||
| Luis Fernandez Gu | ||
| Alex Gavriliu | ||
| Theophile Guillet | ||
| Petar Rustić | ||
| All |
Week 7
| Name | Task | Time spent |
| Andreas Sinharoy | ||
| Luis Fernandez Gu | ||
| Alex Gavriliu | ||
| Theophile Guillet | ||
| Petar Rustić | ||
| All |