Situated Analytics Workshop with Dieter Schmalstieg and Philipp Fleck
For the past few years, one can observe increased interest in combining visualization with new user interface technologies, such as virtual reality (VR) and augmented reality (AR). While immersive visualizations are usually implemented in VR, situated visualizations are grounded in the real world and, therefore, implemented in AR. With a mobile AR display, the user is freed from having to bring the data to the workplace and, instead, may go where the data belongs.
We were pleased to welcome Dieter Schmalstieg and Philipp Fleck from TU Graz this week!
During a two-day workshop (Monday and Tuesday), Dieter and Philipp talked about Situated Analytics and introduced a toolkit that supports the authoring of situated visualizations. We experienced the toolkit during a hands-on session and discussed how we could use it for future prototypes, systems, and evaluations to foster collaborations.
About the workshop:
For the past few years, one can observe increased interest in combining visualization with new user interface technologies, such as virtual reality (VR) and augmented reality (AR). While immersive visualizations are usually implemented in VR, situated visualizations are grounded in the real world and, therefore, implemented in AR. With a mobile AR display, the user is freed from having to bring the data to the workplace and, instead, may go where the data belongs.
For situated visualization, referents are key. By extension, the same is true for situated analytics, i.e., analytic work supported by situated visualization. Situated analytics near referents is particularly relevant if referents actively provide data, such as via Internet of Things. Despite its promise to grant access to just the right data, anytime and anywhere, few works explore situated analytics for lengthy or complex tasks, such as visualization authoring or data exploration. In contrast to immersive analytics, which successfully capitalizes on providing unlimited virtual “space to think”, it appears that the benefits of situated analytics are harder to manifest.
In this workshop, Dieter Schmalstieg and Philipp Fleck talked about the challenges for Situated Analytics and presented a toolkit for situated analytics.
Bio:
Dieter Schmalstieg is full professor and head of the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. His current research interests are augmented reality, virtual reality, computer graphics, visualization, and human-computer interaction. He received Dipl.-Ing. (1993), Dr. techn. (1997) and Habilitation (2001) from Vienna University of Technology. He is author and co-author of over 400 peer-reviewed scientific publications with over 20,000 citations and over twenty best paper awards and nominations.
His organizational roles include associate editor in chief of IEEE Transactions on Visualization and Computer Graphics, associate editor of Frontiers in Robotics and AI, member of the steering committee of the IEEE International Symposium on Mixed and Augmented Reality, chair of the EUROGRAPHICS working group on Virtual Environments (1999-2010), key researcher of the K-Plus Competence Center for Virtual Reality and Visualization in Vienna, and key researcher of the Know-Center in Graz. In 2002, he received the START career award presented by the Austrian Science Fund. In 2008, he founded the Christian Doppler Laboratory for Handheld Augmented Reality. In 2012, he received the IEEE Virtual Reality technical achievement award, and, in 2020, the IEEE ISMAR Career Impact Award. He was elected as Fellow of IEEE, as a member of the Austrian Academy of Sciences and as a member of the Academia Europaea.
Local Organizers:
Prof. Tiare Feuchtner, Prof. Harald Reiterer, Prof. Falk Schreiber,
Sebastian Hubenschmid, Johannes Zagermann, Karsten Klein, Michael Aichem
