AI Behind Virtual Humans: Communicating the Capabilities and Impact of Artificial Intelligence to the Public through an Interactive Virtual Human Exhibit
AI Behind Virtual Humans: Communicating the Capabilities and Impact of Artificial Intelligence to the Public through an Interactive Virtual Human Exhibit
批准号:
2116109
负责人:
Ning Wang
金额:
$160.42万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-07-01 至 2025-06-30
中文摘要
虚拟人展览背后的人工智能旨在通过虚拟人中使用的人工智能技术(包括面部识别和自然语言处理)与公众交流人工智能(AI)的能力和影响。人工智能已经并将继续深刻地影响美国和全球的社会。重要的是让国家的年轻人和未来的劳动力掌握人工智能的基础知识。非正式的环境,如博物馆,提供开放和灵活的机会,帮助年轻人和普通公众了解人工智能。虚拟人提供了一个理想的工具来展示人工智能的许多领域,因为人工智能可以说是一门构建像人类一样思考和行为的智能的科学。由南加州大学创意技术研究所和加州大学伯克利分校劳伦斯科学馆的多学科研究人员组成的多学科团队在人工智能、学习设计和评估方面拥有专业知识,该项目将开发一个虚拟人展览,通过与虚拟人的结构化对话吸引参观者,同时展示人工智能如何在幕后驱动虚拟人的行为。展览将为亲子、兄弟姐妹和同龄人等参观者提供协作学习体验,以探索人工智能是什么和不是什么,人工智能是什么和不能做什么,以及它将对他们的生活产生什么影响。该项目将调查三个研究问题:(1)如何设计博物馆展品,让参观者二人参与关于人工智能的协作学习?(2)如何以公众可以理解的方式交流虚拟人背后的复杂人工智能概念?以及(3)虚拟人如何以及在多大程度上增加了对人工智能的知识并减少了误解?该项目利用了通过数十年人工智能合作研究开发的现有对话式虚拟人技术,包括机器视觉、自然语言处理、自动推理、角色动画和机器学习。展览设置在博物馆的非正式环境中,将根据计算机支持的协作学习中的循证研究进行设计。项目团队将采用混合设计方法,借鉴以设计为基础的研究方法和实验研究。研究团队将对参观者的观察和采访进行分析,以进行迭代形成改进。将在实验室和自然环境中进行随机实验研究,以衡量参观者对人工智能的了解。将进行准实验分析,以研究与展品特征的接触与人工智能知识之间的关系。该项目将制作一个互动展览,展示安装在劳伦斯科学馆和其他参与博物馆的虚拟人,以及衡量人工智能学习的仪器。该项目还将创建一个网站,参观者可以在那里在线体验部分展览,并继续更深入地学习人工智能和虚拟人技术。该项目有可能产生理论和实践方面的进展,帮助普通公众了解人工智能能力和伦理,在年轻学习者发展人工智能知识的过程中促进知识,并制定在非正式环境中创造协作学习体验的设计原则。结果将通过会议报告、学术出版物和社交媒体传播。虚拟人展览将被设计用于传播,并在非正式的科学教育社区安装。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The AI behind Virtual Humans Exhibit aims to communicate to the public about the capabilities and impact of artificial intelligence (AI) through AI technologies used in Virtual Humans including facial recognition and natural language processing. AI has and will continue to profoundly impact society in the United States and around the globe. It is important to prepare the nation’s youth and the future workforce with fundamental knowledge of AI. Informal settings, such as museums, offer open and flexible opportunities in helping youth and the general public learn about AI. Virtual Humans provide an ideal vehicle to illustrate many fields of AI, as AI is arguably the science of building intelligence that thinks and acts like humans. Led by a multidisciplinary team of researchers with expertise in AI, learning design, and assessment from the Institute for Creative Technologies at University of Southern California and the Lawrence Hall of Science at University of California, Berkeley, this project will develop a Virtual Human exhibit to engage visitors through structured conversations with a Virtual Human, while showcasing how AI drives the Virtual Human’s behavior behind the scenes. The exhibit will include collaborative learning experiences for visitors such as parent-child, siblings and peers to explore what AI is and is not, what AI is and is not capable of, and what impact it will have on their lives.The project will investigate three research questions: (1) How can a museum exhibit be designed to engage visitor dyads in collaborative learning about AI? (2) How can complex AI concepts underlying the Virtual Human be communicated in a way that is understandable by the general public? And (3) How does and to what extent the Virtual Human exhibit increase knowledge and reduce misconceptions about AI? The project leverages existing conversational Virtual Human technology developed through decades of collaborative research in AI, including machine vision, natural language processing, automated reasoning, character animation, and machine learning. Set in the informal setting of a museum, the exhibit will be designed following evidence-based research in Computer Supported Collaborative Learning. The project team will use a mixed methods design, drawing on design-based research methodologies and experimental studies. The research team will conduct analysis of visitor observations and interviews for iterative formative improvement. Randomized experimental studies will be conducted in both lab and naturalistic environments to gauge visitor knowledge about AI. Quasi-experimental analyses will be performed to study the relationship between engagement with exhibit features and AI knowledge. The project will produce an interactive exhibit with a Virtual Human installed at the Lawrence Hall of Science and other participating museums, and instruments to measure AI learning. The project will also produce a website where visitors can experience parts of the exhibit online and continue more in-depth learning about AI and the Virtual Human technology. The project holds the potential for producing theoretical and practical advances in helping the general public develop an understanding of AI capability and ethics, advancing knowledge in the process through which young learners develop knowledge about AI, and formulating design principles for creating collaborative learning experiences in informal settings. The results will be disseminated through conference presentations, scholarly publications, and social media. The Virtual Human exhibit will be designed for dissemination and made available for installations at informal science education communities.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
K-12 Education in the Age of AI: A Call to Action for K-12 AI Literacy
人工智能时代的 K-12 教育:K-12 人工智能素养行动呼吁
DOI:
--
发表时间:
2023
期刊:
International journal of artificial intelligence in education
影响因子:
4.9
作者:
[Wang, N., Lester, J.]
通讯作者:
Lester, J.
Collaborative Research: Learning probability through AI problem-solving in a Game-based Environment
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批准号:2201423
-
项目类别:Standard Grant
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资助金额:$118.78万
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财政年份:2022
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负责人:Ning Wang
-
依托单位:
EAGER: Collaborative Research: Building Capacity for K-12 Artificial Intelligence Education Research
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批准号:1938758
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2019
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负责人:Ning Wang
-
依托单位:
CHS: Small: Designing verbal and nonverbal behaviors to increase immediacy and rapport in virtual tutors
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批准号:1816966
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2018
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负责人:Ning Wang
-
依托单位:
Learning Mathematical Concepts and Computational Thinking through Explainable Artificial Intelligence in a Simulation-based Learning Environment
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批准号:1842385
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项目类别:Standard Grant
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资助金额:$98.54万
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财政年份:2018
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负责人:Ning Wang
-
依托单位:
CONCERT: A Context-Adaptive Content Ecosystem Under Uncertainty
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批准号:EP/L018683/1
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项目类别:Research Grant
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资助金额:$33.66万
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财政年份:2014
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负责人:Ning Wang
-
依托单位:
Development of Nanowire Needle/Electrode for Site-Specific Delivery of Bio-Probes for Intracellular Living Cell Studies
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批准号:0933223
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项目类别:Continuing Grant
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资助金额:$31.0万
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财政年份:2009
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负责人:Ning Wang
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依托单位:
海外基金