PRE2024 3 Group3
__TOC__
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. Therefore, for our project, we aim to address the issue of overburdened speech therapy by streamlining the practice sessions and road to recovery, allowing for speech-language pathologists to receive and diagnose more patients more quickly.
Objectives
- Find which aspect of the issues surrounding speech impediments - speech diagnosis, treatment, or obstacle regarding becoming a speech-language pathologist - can be feasibly infuelnced 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 vocal excersizes done by patients of speech-language pathologists, then the system dealing with healthcare for this issue will be less overburdened allowing for a diagnosis and improved efficiency of the Dutch healthcare system in regards to speech therapy.
USE Analysis
Users
Personas
Scenarios
Requirements
Society
Enterprise
State of the Art
Requirements
MoSCoW Analysis
Functionality
Usage
Performance
Legal & Privacy Concerns
Design
Prototype
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 | ||
| 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 | ||
| 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 |