近来，随着大语言模型（LLM），大视觉模型（LVM）等生成式新型人工智能技术（Generative AI）兴起，相关技术在学术和产业领域的应用呈现出较为可观的展望并逐步在相关领域开始普适性使用。然而，生成式人工智能在针对自闭症谱系障碍（ASD）人群尤其是自闭症儿童的相关应用及研究仍旧相对匮乏。
同时，当下针对具有特殊需求的儿童进行互动设计的主流个性化训练仍面临相关潜在挑战。
基于上述因素驱动，本研讨会的目标是为相关研究人员，软件和医疗从业人员以及设计师提供一个协作平台来一同分享和探讨应用大语言模型（LLM）和物联网（IoT）用于自闭症儿童针对及个性化训练的优劣及挑战等。
我们希望通过在为期半天的研讨会上举办现场报告、演示和小组讨论等多种活动，借此机会建立一个专家网络，致力于为有特殊需要的儿童受众受益，并进一步启发研究人员利用新兴的普适技术为这些弱势用户、照护者和特殊教育教师服务。
本次研讨会旨在探讨在个性化训练中使用 大语言模型 和物联网等新兴技术与自闭症儿童进行创意互动设计的益处、挑战和未来方向。
通过现场演讲、演示和小组讨论，与会者将有机会交流相关经验和见解。
欢迎提交与应用大语言模型和物联网新兴技术融入自闭症儿童进行互动设计的个性化训练或相关领域的立场论文（Position Papers）、工作进展报告（Work-in-progress Reports）或演示论文（Demonstration Papers）用于在研讨会上进行简短介绍或演示。
具体而言，研讨会期待:
推荐的主题包括（但不局限于）：
被录用的作者将受邀在专门的演讲或演示环节中展示。
Yongfu Wang is a PhD student in the University of Nottingham Ningbo China Computer Science program. He received the master degree in Computer Science from Northwestern University (US) and bachelor degree in Computer Science and minor in Mathematical Science at Wenzhou-Kean University. His PhD research interest focuses on utilizing ubiquitous wearable sensors and Internet-of-Things (IoT) devices with haptic sensing for healthcare. His prior work was published at ACM CHI, CSCW and UbiComp conferences.
Mingyue Tang is a Ph.D. student in the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC). She received her master’s degree from the University of Virginia (UVa) Link Lab. Her research interests include wireless sensing, mobile computing, signal processing, and Internet of Things (IoT) in health. Through her work, she aims to create innovative solutions that can address real-world problems and make a positive impact on society. Her prior work was published at ICLR, KDD, IPSN, SenSys, etc. conferences, and ACM Transactions on Sensor Networks (TOSN), SPJ Health Data Science journals.
Dr. Yifan He is an assistant professor at Dept. of Software Engineering, Zhejiang University of Finance and Economics. He received his Ph.D. and Master’s degree at the University of Tsukuba, Japan in 2023 and 2020, respectively. Currently, his research interests include evolutionary optimization and learning, and evolvable hardware. He aims to build an evolvable and intelligent problem-solving system. Previously, he received his Bachelor’s degree at Wenzhou Kean University, China in 2017, where he conducted several studies in HCI and assistive technology. His prior work was published at GECCO, HCII conferences and Operations Research Perspectives journals, etc. He is a reviewer of several journals and conferences, such as Information Sciences, IEEE Trans. on Evolutionary Computation, and ALIFE, etc.
Dr. Tiffany Y. Tang is an associate professor at Wenzhou-Kean University. In May 2015, she co-founded the Center on Innovation and Assistive Technology for Autism & Neurodevelopmental Disorders at Wenzhou-Kean University (then called Wenzhou-Kean Autism Research Center). Till now, her team has published a total of 26 book chapters, journal and conference papers related to innovative technology for autism. Dr. Tang’s most recent research interests include affective computing and computational sensing on autism, sensing and wearable technologies for humans.
如果有任何疑问，请随时邮件联系 yongfu.wang@nottingham.edu.cn 或 idwiac@outlook.com。
