2221722
Project Grant
Overview
Grant Description
Sbir Phase I: Re-envisioning Alt Text for Education through Concurrent Authoring and Diagram Design - The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to create a pathway to success in science, technology, engineering and mathematics (STEM) for all students, including those that are blind or have low vision (BLV), with a usable and effective description system for STEM diagrams.
Only 3% of BLV individuals have been employed in a STEM field. The lack of accessible accommodations creates roadblocks for these students in STEM education throughout their academic journey, leading many students to give up, even though they have as much potential for academic success as the general population.
All web-based, non-decorative diagrams are required to include alternative (ALT) text descriptions for use with screen readers. Current methods for making STEM visualizations accessible through ALT text are not scalable or amenable for use with dynamic digital media, nor is ALT text standardized or proven usable by learners, resulting in lost learning opportunities for BLV students.
The absence of reliable auto ALT text generation is a roadblock for educational institutions and academic publishers to adopt new instructional technologies, as digital content and learning systems must include accommodations for accessibility.
This Small Business Innovation Research Phase I project will create a first-of-its kind system that generates descriptions of STEM diagrams as the educational resources are constructed. This project will go beyond current standards for accommodation, by creating an innovative layered approach to the ALT text representation of STEM diagrams so that screen reader users can interact with the content in a manner that is best supported by their skills and prior knowledge.
The technical objectives are to:
1) Create a system that produces machine-readable configurations for the components of a diagram and spatial relationships between the components, and then generates a text-based description of the diagram.
2) Devise a non-linear method for representing STEM content through a standardized system of representational layers within the description.
Both the general description (Objective 1) and layered description (Objective 2) will be constructed by matching the diagram configuration to a context-driven lexicon.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Only 3% of BLV individuals have been employed in a STEM field. The lack of accessible accommodations creates roadblocks for these students in STEM education throughout their academic journey, leading many students to give up, even though they have as much potential for academic success as the general population.
All web-based, non-decorative diagrams are required to include alternative (ALT) text descriptions for use with screen readers. Current methods for making STEM visualizations accessible through ALT text are not scalable or amenable for use with dynamic digital media, nor is ALT text standardized or proven usable by learners, resulting in lost learning opportunities for BLV students.
The absence of reliable auto ALT text generation is a roadblock for educational institutions and academic publishers to adopt new instructional technologies, as digital content and learning systems must include accommodations for accessibility.
This Small Business Innovation Research Phase I project will create a first-of-its kind system that generates descriptions of STEM diagrams as the educational resources are constructed. This project will go beyond current standards for accommodation, by creating an innovative layered approach to the ALT text representation of STEM diagrams so that screen reader users can interact with the content in a manner that is best supported by their skills and prior knowledge.
The technical objectives are to:
1) Create a system that produces machine-readable configurations for the components of a diagram and spatial relationships between the components, and then generates a text-based description of the diagram.
2) Devise a non-linear method for representing STEM content through a standardized system of representational layers within the description.
Both the general description (Objective 1) and layered description (Objective 2) will be constructed by matching the diagram configuration to a context-driven lexicon.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Awardee
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Bloomfield Hills,
Michigan
48301-1328
United States
Geographic Scope
Single Zip Code
Related Opportunity
None
Alchemie Solutions was awarded
Project Grant 2221722
worth $275,000
from National Science Foundation in March 2023 with work to be completed primarily in Bloomfield Hills Michigan United States.
The grant
has a duration of 1 year and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I:Re-envisioning alt text for education through concurrent authoring and diagram design
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to create a pathway to success in Science, Technology, Engineering and Mathematics (STEM) for all students, including those that are blind or have low vision (BLV), with a usable and effective description system for STEM diagrams. Only 3% of BLV individuals have been employed in a STEM field. The lack of accessible accommodations creates roadblocks for these students in STEM education throughout their academic journey, leading many students to give up, even though they have as much potential for academic success as the general population. All web-based, non-decorative diagrams are required to include alternative (alt) text descriptions for use with screen readers. Current methods for making STEM visualizations accessible through alt text are not scalable or amenable for use with dynamic digital media, nor is alt text standardized or proven usable by learners, resulting in lost learning opportunities for BLV students. The absence of reliable auto alt text generation is a roadblock for educational institutions and academic publishers to adopt new instructional technologies, as digital content and learning systems must include accommodations for accessibility. _x000D_ _x000D_ This Small Business Innovation Research Phase I project will create a first-of-its kind system that generates descriptions of STEM diagrams as the educational resources are constructed. This project will go beyond current standards for accommodation, by creating an innovative layered approach to the alt text representation of STEM diagrams so that screen reader users can interact with the content in a manner that is best supported by their skills and prior knowledge. The technical objectives are to: 1) create a system that produces machine-readable configurations for the components of a diagram and spatial relationships between the components, and then generates a text-based description of the diagram and 2) devise a non-linear method for representing STEM content through a standardized system of representational layers within the description. Both the general description (objective 1) and layered description (objective 2) will be constructed by matching the diagram configuration to a context-driven lexicon._x000D_ _x000D_ This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
HC
Solicitation Number
NSF 22-551
Status
(Complete)
Last Modified 3/2/23
Period of Performance
3/1/23
Start Date
2/29/24
End Date
Funding Split
$275.0K
Federal Obligation
$0.0
Non-Federal Obligation
$275.0K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2221722
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
MMP8NY969QY8
Awardee CAGE
7DHT5
Performance District
Not Applicable
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $275,000 | 100% |
Modified: 3/2/23