Proceedings of the AI-HRI Symposium at AAAI-FSS 2020

Proceedings of the AI-HRI Symposium at AAAI-FSS 2020
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AAAI-FSS 2020 上 AI-HRI 研讨会论文集

DOI:
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发表时间:
2020
期刊:
arXiv.org
影响因子:
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通讯作者:
M. Zimmerman
M. Zimmerman
中科院分区:
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文献类型:
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作者:
Shelly Bagchi;Jason R. Wilson;Muneeb Imtiaz Ahmad;Christian Dondrup;Zhao Han;Justin W. Hart;Matteo Leonetti;Katrin S. Lohan;Ross Mead;Emmanuel Senft;Jivko Sinapov;M. Zimmerman

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自 2014 年以来,人机交互 (HRI) 人工智能 (AI) 研讨会一直是一个成功的讨论和合作场所。当时,机器人信任的相关主题一直在迅速发展,世界各地的大学和实验室都在进行重大研究工作。事实上,许多过去的 AI-HRI 参与者已经或现在正在参与 HRI 信任的研究。虽然信任没有一致的定义,但它通常与可预测性、可靠性、激发信心和满足期望联系在一起。此外,人们普遍认为信任对于人工智能和机器人技术的采用至关重要,特别是在将技术从实验室过渡到工业、社会和消费者应用时。然而,信任如何应用于我们在 AI-HRI 领域遇到的具体情况? AI 中的信任概念与 HRI 中的信任概念相同吗?我们看到对人工智能和人机交互研究的直接需求日益增长,本次研讨会将为此提供服务。在为期两天的会议期间,我们建议创建一个协作论坛,讨论当前 AI-HRI 的信任工作,并举行一个分会议,重点讨论 HRI 的可解释人工智能 (XAI) 相关主题。
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration since 2014. In that time, the related topic of trust in robotics has been rapidly growing, with major research efforts at universities and laboratories across the world. Indeed, many of the past participants in AI-HRI have been or are now involved with research into trust in HRI. While trust has no consensus definition, it is regularly associated with predictability, reliability, inciting confidence, and meeting expectations. Furthermore, it is generally believed that trust is crucial for adoption of both AI and robotics, particularly when transitioning technologies from the lab to industrial, social, and consumer applications. However, how does trust apply to the specific situations we encounter in the AI-HRI sphere? Is the notion of trust in AI the same as that in HRI? We see a growing need for research that lives directly at the intersection of AI and HRI that is serviced by this symposium. Over the course of the two-day meeting, we propose to create a collaborative forum for discussion of current efforts in trust for AI-HRI, with a sub-session focused on the related topic of explainable AI (XAI) for HRI.