CIRMMT Distinguished Lecture | The future of mixed reality is adaptive
"The future of mixed reality is adaptive"
David Lindlbauer, Assistant Professor, Human-Computer Interaction Institute at Carnegie Mellon University (USA)
For more information visit cirmmt.org
Abstract
Mixed Reality (MR) has the potential to transform the way we interact with digital information, and promises a rich set of applications, ranging from manufacturing and architecture to interaction with smart devices. Current MR approaches, however, are static, and users need to manually adjust the visibility, placement and appearance of their user interface every time they change their task or environment. This is distracting and leads to information overload. To overcome these challenges, we aim to understand and predict how users perceive and interact with digital information, and use this information in context-aware MR systems that automatically adapt when, where and how to display virtual elements. We create computational approaches that leverage aspects such as users’ cognitive load or the semantic connection between the virtual elements and the surrounding physical objects. Our systems increase the applicability of MR, with the goal to seamlessly blend the virtual and physical world.
Biography
David Lindlbauer is an Assistant Professor at the Human-Computer Interaction Institute at Carnegie Mellon University where he leads the Augmented Perception Lab. His research focuses on creating and studying enabling technologies and computational approaches for adaptive user interfaces to increase the usability of AR and VR interfaces, with applications in casual interaction, productivity, health and robotics. Prior to joining CMU, David received his PhD from TU Berlin, advised by Prof. Marc Alexa, and was a postdoctoral researcher at ETH Zurich. He has published more than 20 scientific papers at premier venues in Human-Computer Interaction such as ACM CHI and ACM UIST and was awarded the ETH Postdoctoral Fellowship in 2018. His work has attracted media attention in outlets such as MIT Technology Review, Fast Company Design, and Shiropen Japan.
