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SBIR Phase I: Natural Language Voice Controlled Science Equipment

SBIR Phase I: Natural Language Voice Controlled Science Equipment
SBIR第一阶段:自然语言语音控制科学设备
批准号:
1819287
负责人:
Clifton Roozeboom
金额:
$22.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-06-15 至 2019-04-30

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中文摘要
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英文摘要
This SBIR Phase I project will develop Natural Language Voice-Controlled Lab Assistant technology that enables students to control and interact with hands-on science lab equipment using natural language dialog. The lab assistant technology will connect with science equipment hardware, a mobile or computer app, and cloud-based software for speech recognition and data analysis. A student can perform hands-on experiments, ask questions like "How high did my rocket go?" or "What was the force of the cart collision?", and receive audible responses based on their own experimental measurements. The lab assistant is designed for students that encompass (1) students who are blind or low vision, (2) students with disabilities affecting physical skills, (3) students that would benefit from multi-sensory learning methods as required in Individualized Education Plans (IEPs), and (4) generally students that would benefit from increased engagement in Science, Technology, Engineering, and Mathematics (STEM). The broader impacts of the lab assistant technology will be to promote teaching and learning through professional development of K-12 educators in STEM, and enable broad participation of under-represented groups of people in authentic science inquiry.The proposed Lab Assistant will be the first application of state-of-the-art voice recognition technology for educational science experiments. The Lab Assistant will integrate with sensor hardware and mobile apps to enable hands-on experiments in physics, earth science, chemistry, and engineering. The intellectual merits of the Lab Assistant are (1) the development of software that can respond to a wide spectrum of natural language questions and (2) the systems integration of many cutting-edge technologies (wireless sensors, mobile apps, voice recognition software, cloud-based data analysis algorithms) into a simple user interface for science education. The voice interactions will help students overcome disabilities with traditional touch and visual technology, work more independently due to the presence of auditory help, work more effectively in groups, and gain confidence in their STEM abilities. For teachers, the Lab Assistant will provide an "expert in the room" to help guide the hands-on activities that they already do, and provide technical support. The Lab Assistant will be especially useful to teachers without formal science training, that nevertheless need to lead hands-on STEM activities.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.
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SBIR Phase II: Natural Language Voice Controlled Science Equipment
  • 批准号:
    1951169
  • 项目类别:
    Standard Grant
  • 资助金额:
    $75.0万
  • 财政年份:
    2020
  • 负责人:
    Clifton Roozeboom
  • 依托单位:
SBIR Phase I: Global Scientific Sensor Network and Data Infrastructure for Hands-On Science Learning
  • 批准号:
    1548870
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2016
  • 负责人:
    Clifton Roozeboom
  • 依托单位:
国内基金
海外基金
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 负责人:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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  • 依托单位:
地幔含水相Phase E的温度压力稳定区域与晶体结构研究
  • 批准号:
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  • 项目类别:
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  • 资助金额:
    12.0万元
  • 批准年份:
    2018
  • 负责人:
    张里
  • 依托单位:
基于数字增强干涉的Phase-OTDR高灵敏度定量测量技术研究