Proceedings are now online at CEUR-WS.org: http://ceur-ws.org/Vol-2108
Interaction Literacy in Data Science and Visualization
This talk tries to explore and define the concept of ‘Interaction Literacy’ as one of the big new literacies of the modern age, besides ‘data literacy’ and ‘visualization literacy’. Interaction literacy may refer to the knowledge and ability of proactive interaction with the data, the ability to ask questions and formulate hypotheses, to mi-trust data and to find ways to engage with that data. The talk will lead through a couple of examples including my from my own work which illustrates different aspects of data literacy. Similar to data literacy and visualization literacy, interaction literacy might help us educate the next generation of citizens, able for a responsive engagement with ‘big data’.
May, 29th, 2018
|9:00||Welcome and Introduction.
Dietrich Kammer and Mandy Keck
|9:20||Invited Talk: Interaction Literacy in Data Science and Visualization.
Benjamin Bach (University of Edinburgh).
|10:00||Using Parallel Sets for Visualizing Results of Machine Learning Based
Plausibility Checks in Product Costing.
Zana Vosough and Volodymyr Vasyutynskyy (SAP SE)
|10:20||The Data in Your Hands: Exploring Novel Interaction Techniques and
Data Visualization Approaches for Immersive Data Analytics.
Natalie Hube and Mathias Müller (Technische Universität Dresden)
|10:40||Exploring Visualization Challenges for Interactive Recommender Systems.
Mandy Keck and Dietrich Kammer (Technische Universität Dresden)
|11:30||Lessons Learned from a Knowledge-driven Search Application
on-top ofLarge Linked Data Sets.
Dennis Diefenbach (Université Jean Monnet Saint-Etienne),
Pierre Tardiveau (Telecom Saint-Etienne),
Andreas Both (DATEV eG), Kamal Singh (Telecom Saint Etienne),
Pierre Maret (LHC Université de Saint Etienne)
|11:50||Conversation Trainings – Towards a Multidimensional Visualization
Alexander Maasch (chemmedia AG)
|12:10||Big Data Landscapes in Virtual Reality using
Rainer Groh, Tobias Günther,
Thomas Gründer (Technische Universität Dresden)
|12:30||Brainstorming and Panel Discussion: Big Data in Popular Culture|