With advancement of robotics and artificial intelligence, applications for robotics are flourishing. Human-robot interaction (HRI) is an important area of robotics as it allows robots to work closer to humans (with them or for them). One crucial factor for the success of HRI research is transferability, which refers to the ability of research outputs to be adopted by industry and provide benefits to society. In this paper, we explore the potentials and challenges of transferability in HRI research. Firstly, we examine the current state of HRI research and identify various types of contributions that could lead to successful outcomes. Secondly, we discuss the potential benefits for each type of contribution and identify factors that could facilitate industry adoption of HRI research. However, we also recognize that there are several challenges associated with transferability, such as the diversity of well-defined job/skill-sets required from HRI practitioners, the lack of industry-led research, and the lack of standardization in HRI research methods. We discuss these challenges and propose potential solutions to bridge the gap between industry expectations and academic research in HRI.
Vid2Real HRI: Align video-based HRI study designs with real-world settings
School of Information, The University of Texas at Austin（德克萨斯大学奥斯汀分校信息学院）；Department of Computer Science, The University of Texas at Austin（德克萨斯大学奥斯汀分校计算机科学系）；The MITRE Corporation（MITRE公司）；Cisco Research（思科研究院）；Army Futures Command（陆军未来司令部）
Positioning Modular Co-Design in Future HRI Design Research
Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington（信息学、计算与工程学院，印第安纳大学布卢明顿分校）；Human-Computer Interaction Institute, Carnegie Mellon University（人机交互研究所，卡内基梅隆大学）
Hand and Arm Gesture-based Human-Robot Interaction: A Review
Technical University of Munich（慕尼黑工业大学）；Fortiss GmbH（Fortiss有限公司）；Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China（中国福建光电信息科学技术创新实验室）
How Do We Research Human-Robot Interaction in the Age of Large Language Models? A Systematic Review
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Zhejiang University（浙江大学）；Savannah College of Art and Design（萨凡纳艺术设计学院）；West China Hospital, Sichuan University（四川大学华西医院）
Proceedings of the AI-HRI Symposium at AAAI-FSS 2020
National Institute of Standards and Technology（美国国家标准与技术研究院）；Franklin & Marshall College（富兰克林与马歇尔学院）；Heriot-Watt University（赫瑞-瓦特大学）；UMass-Lowell（马萨诸塞大学洛厄尔分校）；UT Austin（德克萨斯大学奥斯汀分校）；University of Leeds（利兹大学）；Semio；Plymouth University（普利茅斯大学）；Tufts University（塔夫茨大学）
Proceedings of the AI-HRI Symposium at AAAI-FSS 2018
Georgia Institute of Technology（佐治亚理工学院）；Samsung Research of America（三星美国研究院）；University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校）；SIFT；University of Colorado Boulder（科罗拉多大学博尔德分校）；Sapienza University of Rome（罗马大学）；Heriot-Watt University（赫瑞-瓦特大学）；Semio；Plymouth University（普利茅斯大学）；Colorado School of Mines（科罗拉多矿业学院）
The University of Texas at Austin（德克萨斯大学奥斯汀分校）；Bar Ilan University（巴伊兰大学）；National Institute of Standards and Technology（美国国家标准与技术研究院）；Heriot-Watt University（赫瑞瓦特大学）；US Army Research Lab（美国陆军研究实验室）；Colorado School of Mines（科罗拉多矿业学院）；Semio；Plymouth University（普利茅斯大学）；Tufts University（塔夫茨大学）；Franklin & Marshall College（富兰克林与马歇尔学院）
自2014年以来，人工智能（AI）人机交互（HRI）研讨会一直是讨论和合作的成功场所。在此期间，这些研讨会为众多合作提供了肥沃的土壤，并开创了许多关于HRI信任、XAI for HRI、服务机器人、交互式学习等的讨论。今年，我们的目标是回顾过去十年中AI-HRI社区的成就，确定未来面临的挑战，并欢迎希望加入这个不断发展的社区的新研究人员。从这个广泛的角度来看，今年的研讨会将不会有单一的主题，我们鼓励跨学科和研究兴趣的AI-HRI提交。此外，随着人们对AR和VR作为交互的一部分的兴趣日益浓厚，以及在大流行期间进行物理实验遇到困难，今年我们特别鼓励研究人员提交不包括物理机器人的作品，但促进HRI总体研究。此外，认识到道德是人机交互的固有组成部分，我们鼓励提交关于HRI道德的作品。在为期两天的会议期间，我们将举办一个合作论坛，讨论AI-HRI目前的努力，并重点讨论HRI和无处不在的HRI的道德主题。
A Tool for Organizing Key Characteristics of Virtual, Augmented, and Mixed Reality for Human-Robot Interaction Systems: Synthesizing VAM-HRI Trends and Takeaways
U. of Southern California（南加利福尼亚大学）；U. of Colorado Boulder（科罗拉多大学博尔德分校）；Brown University（布朗大学）
Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments
Design Lab, The University of Sydney（悉尼大学设计实验室）；The Australian Centre for Robotics, The University of Sydney（悉尼大学澳大利亚机器人中心）；Faculty of Arts and Social Sciences, The University of Sydney（悉尼大学文学与社会科学学院）
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019
UT Austin（德克萨斯大学奥斯汀分校）；Samsung Research of America（三星美国研究院）；Smart Information Flow Technologies（智能信息流技术公司）；Sapienza University of Rome（罗马大学）；University of Leeds（利兹大学）；Heriot-Watt University（赫瑞-瓦特大学）；Semio；Plymouth University（普利茅斯大学）；Tufts University（塔夫茨大学）；Lund University（隆德大学）；Colorado School of Mines（科罗拉多矿业学院）
Why did My Robot Just Change Personality? Prompting Guidelines for a Grounded Robot Persona in LLM-Based HRI
RPTU Kaiserslautern（凯泽斯劳滕工业大学）；Linköping University（林雪平大学）；University of Hertfordshire（赫特福德大学）；Eindhoven University of Technology（埃因霍温理工大学）；Australian National University（澳大利亚国立大学）；University of Cambridge（剑桥大学）；University of Naples Federico II（那不勒斯费德里科二世大学）；Ben-Gurion University of the Negev（本-古里安大学内盖夫分校）；The Azrieli National Center for Autism and Neurodevelopment Research（阿兹列利国家自闭症与神经发育研究中心）
