HCC Seminar Series: The Future of Extended Reality is Adaptive

Abstract

Extended Reality (XR) 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 XR 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 XR systems that automatically adapt when, where and how to display virtual elements. In this talk, I will present 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 XR, 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, and co-directs the CMU Extended Reality Technology Center (XRTC). 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 35 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.