Collaborative Research: Conference: Dialogue and Robots

合作研究：会议：对话与机器人

• 批准号: 2306112
• 负责人: Malihe Alikhani
• 金额: $ 4.49万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2306112&HistoricalAwards=false
• 关键词: Collaborative; Research; Conference; Dialogue; Robots

The Dialogue and Robots workshop addresses the issues of spoken language processing for human-robot interaction since communication between robots and humans presents multiple novel challenges. To address these challenges the team will bring together roboticists, spoken dialogue systems researchers, human-robot interaction researchers, computer scientists, speech scientists and technologists and natural language processing researchers to understand how to use various knowledge sources so that robots can more naturally and effectively interact with people. Success in this area will help a broad application of social robots to the benefit of society, including working with and alongside people in homes, schools, hospitals, and workplaces. The expected result of Dialogue and Robots workshop is the stimulation of interdisciplinary collaborations that focus on solving problems in speech communication that currently limit the effectiveness of social robots in various situations. The workshop participants' discussions cover a range of problems, from the basics of the platforms to technical challenges in robotics, human-robot interaction, spoken dialogue systems, and natural language processing. Topics include processing multimodal data, situated reasoning, achieving common ground in human-AI collaboration, building trust in collaborative systems, and applications of such systems for social good. The workshop will result in whitepapers that define concrete research projects.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.

对话和机器人研讨会解决了人机交互的口语处理问题，因为机器人和人类之间的沟通提出了多种新的挑战。为了应对这些挑战，该团队将汇集机器人专家、语音对话系统研究人员、人机交互研究人员、计算机科学家、语音科学家和技术专家以及自然语言处理研究人员，以了解如何使用各种知识源，使机器人能够更自然、更有效地与人互动。这一领域的成功将有助于社交机器人的广泛应用，造福社会，包括在家庭、学校、医院和工作场所与人们一起工作。对话和机器人研讨会的预期结果是促进跨学科合作，重点解决目前限制社交机器人在各种情况下有效性的语音通信问题。研讨会参与者的讨论涵盖了一系列问题，从平台的基础知识到机器人技术的挑战，人机交互，口语对话系统和自然语言处理。主题包括处理多模态数据，情境推理，实现人类与人工智能协作的共同点，在协作系统中建立信任，以及此类系统在社会公益方面的应用。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。