Chao Wang, "Design for Collaborative Intelligence: From Connected Vehicle, Autonomous Driving, Robotics to AI", Shanghai Jiaotong University (Shanghai, China) master course online presentation, 2023.

The goal of the intelligent system should be to enhance human capabilities, not replace them. There is much more scope for humans and AI to complement each other than to compete, as their advantages lie in different aspects. This complementarity can be called Collaborative Intelligence (CI), which enables machines to achieve goals together with humans in complex environments. CI requires mutual understanding and seamless communication between the two entities. To achieve this, we need to develop novel input/output technologies, deeply interpret human cognitive processes, and build appropriate machine learning models. In this talk, I will present my previous research on human-intelligent system cooperation in 3 topics: First, reducing road sharing conflicts (road rage) among drivers through the mediation of the intelligent system; Second, improving the user experience of automated/autonomous driving through situational awareness and predictive-level intervention. Thirdly, to increase the efficiency and enjoyment of teaching lifelong learning robots through visualisation and augmented reality. It is expected that the research will contribute to the creation of comprehensible, trustful and personalised intelligent systems, as well as effortless and enjoyable interaction methods.