Schedule (Tentative)

• 9:00 - 9:15: Opening & introduction
• 9.15 - 9.45: Organizers' presentations
• 9:45 - 10:30: Participants' presentations (5-7 minute lightning talks; participants introduce themselves and share their current or past work related to multimodal interaction.)
• 10:30 - 11:00: Coffee break
• 11:00 - 11:30: Participants' presentations (Cont'd)
• 11:30 - 12:30: Group brainstorming activity on research challenges and opportunities, initially seeded by specific interaction techniques, display formats, and their combination.
• 12:30 - 14:00: Lunch
• 14:00 - 14:30: Report back from the group brainstorming
• 14:30 - 15:30: Generative low fidelity prototyping activity. Participants will mock up multimodal interactions for various situations, visualization types, and usage contexts.
• 15:30 - 16:00: Coffee break
• 16:00 - 16:30: Report back from the prototyping activity
• 16:30 - 17:20: Discussion
• 17:20 - 17:30: Wrap-up & closing

Accepted Papers

• Olfactory Analytics: Exploring the Design Space of Smell for Data Visualization. Biswaksen Patnaik, Andrea Batch and Niklas Elmqvist.
• Bridging the Gap Between Sonification and Visualization. Alexander Rind, Michael Iber and Wolfgang Aigner.
• A Novel Interaction Paradigm For Exploring Spatio-Temporal Data. Sabine Cassat, Marcos Serrano, Emmanuel Dubois and Pourang Irani.
• Towards Multimodal Data Analytics: Integrating Natural Language into Visual Analytics. Rafael Henkin and Cagatay Turkay.
• Personal Data Exploration with Speech on Mobile Devices. Eun Kyoung Choe, Bongshin Lee and Seung-Won Hwang.
• Toward Multimodal Interaction of Scatterplot Spaces Exploration. Mohammad Chegini, Lin Shao, Keith Andrews and Tobias Schreck.
• Combining Interactive Large Displays and Smartphones to Enable Data Analysis from Varying Distances. Ricardo Langner, Ulrike Kister, Marc Satkowski and Raimund Dachselt.
• Employing Tangible Visualisations in Augmented Reality with Mobile Devices. Sebastian Hubenschmid, Simon Butscher, Johannes Zagermann and Harald Reiterer.
• Gaze-Enabled Data Recommendations In Visualization: First Considerations. Radu Jianu.