Trustworthy Presence and Interaction in Virtual Environments
August 22 (Friday) 9:00-11:30
Location: Shenzhen Hall, 3rd Floor

Introduction:
        Wang Miao is a professor and doctoral supervisor at Beihang University. His teaching and research focuses on intelligent visual media generation and immersive mixed reality interaction. He is the principal investigator for various national-level projects, including those funded by the National Natural Science Foundation of China (NSFC). He has published over 50 academic papers and received Best Paper Awards at IEEE VR 2025 and CAD/Graphics 2023. He has also received the Second Prize of the National Science and Technology Progress Award (ranked 9th) and the Special Prize of the Higher Education Teaching Achievement Incentive Program of the Chinese Society of Image and Graphics (ranked 2nd). He has been selected as a Young Yangtze River Scholar by the Ministry of Education, a Young Scholar Program of the China Association for Science and Technology, and a Xiaomi Young Scholar. He serves on the editorial board and young editorial board of journals such as Fundamental Research, CAVW, and Journal of Graphics, and is a program committee member of international conferences such as IEEE VR, IEEE ISMAR, PG, and CVM. He also serves as Secretary-General of the Virtual Reality and Visualization Technology Committee of the China Computer Federation, Academic Secretary of the Xiuhu Conference, Deputy Director of the Virtual Technology and Application Committee of the China Simulation Society, and Secretary-General of the International Liaison Working Committee of the China Graphics Society.

Report Title: Efficient Roaming and Interaction Technology for Large-Scale Virtual Environments

Report Introduction: 

        As virtual reality applications extend to larger scenarios, the contradiction between the limitations of physical space and the openness of virtual environments becomes increasingly prominent, creating a bottleneck in immersive interactive experiences. This report will describe the research progress of our research team on efficient roaming and interaction in virtual environments: developing redirected motion technology, solving the physical-virtual space alignment problem through path mapping and reinforcement learning; innovating privacy-preserving transport mechanisms, proposing a negotiated strategy and potential field framework to balance mobility efficiency and security; and proposing a heterogeneous scene interaction solution, leveraging semantic perception models and environment fusion techniques to enhance cross-scene continuity. Future work will further expand multi-person collaborative roaming and real-time environment mapping capabilities, providing technical support for immersive experiences.

Introduction:
        Yi Xin is an Associate Professor at the Institute of Network Science and Cyberspace at Tsinghua University. His research focuses on applied security and human-computer interaction. He has published over 40 papers in leading academic conferences and journals such as CHI, Ubicomp, and IJHCS, and has applied for and obtained over 20 invention patents. He has received numerous honors, including the ACM SIGCHI China Rising Star Award, the Young Talent Support Program in a Certain Field, the First Prize for Scientific and Technological Progress from the China Electronics Society, and the Outstanding Scientific and Technological Achievement Award from the China Artificial Intelligence Society.

Report Title: Interaction Privacy and Security for XR Applications

Report Introduction: 

        The rapid development of XR applications has greatly expanded the scenarios and capabilities of human-computer interaction. To provide users with a continuous, natural, and intelligent interactive experience, XR applications emphasize ubiquitous continuous perception, multimodal high immersion, and advanced intelligence. However, these characteristics also pose unprecedented new challenges to users' personal information privacy and the security and reliability of interactions. This report, focusing on future XR applications, explores emerging security and privacy risks in human-computer interaction, their balance with interactive usability, and potential mitigation and optimization measures.

Introduction:
        Assistant Professor and doctoral supervisor in the Department of Computer and Information Science and the Department of Finance and Business Economics at the University of Macau. He received his PhD and Master's degrees from ETH Zurich and his Bachelor's degree from Peking University. His research focuses on human-computer interaction, financial technology, and information security. In recent years, he has published over 30 academic papers in international journals and conferences, including TOCHI, CHI, CSCW, JFE, S&P, USENIX Security, CCS, and NDSS. He has presided over/co-presided over scientific research projects such as the Key R&D Program of the Ministry of Science and Technology of China and the General Project of the Macau Science and Technology Development Fund.

Report title: Exploring User Perceptions of Security Auditing in the Web3 Ecosystem

Report Introductiont: 

       In the rapidly evolving Web3 ecosystem, transparent auditing has emerged as a critical component for both applications and users. However, there is a significant gap in understanding how users perceive this new form of auditing and its implications for Web3 security. Utilizing a mixed-methods approach that incorporates a case study, user interviews, and social media data analysis, our study leverages a risk perception model to comprehensively explore Web3 users' perceptions regarding information accessibility, the role of auditing, and its influence on user behavior. Based on these extensive findings, we discuss how this open form of auditing is shaping the security of the Web3 ecosystem, identifying current challenges, and providing design implications.

Introduction:
        Associate Research Fellow, School of Mechanical, Electrical, and Information Engineering, Shandong University, and a Shandong University Future Scholar. His research focuses on intelligent human-computer interaction, physiological computing, and intelligent psychological assessment. He has undertaken one National Natural Science Foundation of China project, one National Key R&D Program project, and four provincial and ministerial projects. He has published over 40 papers in CCF Class A conferences, including ACM CHI, UIST, IJHCS, TVCG, Unicomp, JBHI, and IEEE TAFFC, or in top journals in the first zone of the Chinese Academy of Sciences. He has also been awarded one university-level teaching reform project, co-authored two books, and received four provincial and ministerial science and technology awards, including the 2020 ACM Rising Star Award.

Report Title: Flow Computation and Interactive Presentation in Virtual Environments

Report Introduction:

        Flow is a state of effortless efficiency and a psychological mechanism for achieving optimal experience and efficiency. In virtual interactive environments, enabling users to enter a state of flow faster and longer can enhance immersion and improve task performance for both individuals and teams. Flow computation and interactive presentation are essential technical steps to achieve this goal. The subjective, implicit, and dynamic nature of flow poses significant challenges to computation and presentation, and these issues have been largely unexplored. This presentation will share our team's exploration of the mechanisms, computation, and presentation of flow in virtual interactive environments, and explore how this work can foster credible interaction and presentation in virtual environments.