The Next Generation of Computing Systems: Artificial Intelligence meets Humans
Abstract: Traditionally, humans used machines to support them while staying in full control. However, over the last decades, we have moved away from this paradigm; today, systems support users beyond their capabilities. For instance, smartphone text entry uses prediction algorithms to improve human typing performance. Here, the human-in-the-loop approach guarantees that the final result aligns with the human expectation. Yet, with more autonomous systems entering our daily lives, such as self-driving cars, the question becomes how and to what extent users should stay in control. This is crucial as handing over control creates a tradeoff between easing the users’ burden and aligning with their expectations. Thus, the next generation of computing systems needs to provide intervention methods as they relieve the user through artificial intelligence and automation. In this talk, I will highlight how my research sits at the intersection between Human-Computer Interaction and Artificial Intelligence, allowing humans and machines to learn and accomplish tasks together.
Bio: Sven Mayer is an assistant professor of computer science at LMU Munich (Germany). His research sits at the intersection between Human-Computer Interaction and Artificial Intelligence, where he focuses on the next generation of computing systems. He uses artificial intelligence to design, build, and evaluate future human-centered interfaces. In particular, he envisions enabling humans to outperform their performance in collaboration with the machine. He focuses on areas such as augmented and virtual reality, mobile scenarios, and robotics.