Doctoral Consortium
The goal of the ICMI Doctoral Consortium is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing multimodal interfaces. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing multimodal interfaces. The Consortium will be held on November 9th, 2015. We will provide economic support to all student participants that will cover part of their costs (travel, registration, meals etc.).
Accepted Papers
Please contact the Doctoral Consortium chairs, Carlos Busso (busso@utdallas.edu) or Vidhyasaharan Sethu (v.sethu@unsw.edu.au) for questions about the information
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Title
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Author
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University
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Temporal Association Rules for modelling multimodal social signals
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Janssoone, Thomas
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UPMC, France
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Detecting and Synthesizing Synchronous Joint Action in Human-Robot Teams
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Iqbal, Tariq**
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University of Notre Dame, USA
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Micro-opinion Sentiment Intensity Analysis and Summarization in Online Videos
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Zadeh, Amir
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Carnegie Mellon University, USA
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Attention and Engagement Aware Multimodal Conversational Systems
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Yu, Zhou
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Carnegie Mellon University, USA
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Implicit Human-computer Interaction: Two Complementary Approaches*
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Wache, Julia
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University of Trento, Italy
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Instantaneous and Robust Eye-Activity Based Task Analysis
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Wong, Hoe Kin
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University of New South Wales, Australia
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Challenges in Deep Learning for Multimodal Applications
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Ghosh, Sayan
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USC Institute for Creative Technologies, USA
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Exploring Intent-driven Multimodal Interface for Geographical Information System
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Sun, Feng
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College of Information Sciences and Technology, USA
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Software Techniques for Multimodal Input Processing in Realtime Interactive Systems
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Fischbach, Martin
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University of Würzburg, Germany
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Gait and Postural Sway Analysis, A Multi-Modal System
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Ismail, Hafsa
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University of Canberra, Australia
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A Computational Model of Culture-Specific Emotions for Artificial Agents in the Learning Domain
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Naidu, Ganapreeta
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Universiti Sains Malaysia, Malaysia
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Record, Transform & Reproduce Social Encounters in Immersive VR: An Iterative Approach
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Kolkmeier, Jan
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University of Twente, Netherlands
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Multimodal Affect Detection in the Wild: Accuracy, Availability, and Generalizability
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Bosch, Nigel
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University of Notre Dame, USA
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Multimodal assessment of Teaching Behavior in Immersive Rehearsal Environment - TeachLivE
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Barmaki, Roghayeh
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University of Central Florida, USA
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Talks
Each student will have 25 minutes to present including Q&A. Because the goal of the Doctoral Consortium us to receive feedback from mentors, rather than present completed research, we recommend that students limit their talks to ~15 minutes and use the remainder of the time for receiving feedback from the mentors. Students should plan to use their own computers to present. The room will have a projector. The tight schedule would not allow for demos or extensive depth on any point; students should provide a high-level overview of their research topic, plan, and progress. It is acceptable to include recent work in your talk (i.e., work that you might have completed since you submitted your abstracts), but we expect that you don’t deviate too much from the research plan to presented in your respective proposals.
Posters
All students are required to prepare a poster to present at the main conference (time TBA). Authors will have available a poster board of size [TBA]. The posters do not need to follow a particular template.
Mentors
TBA
Doctoral Consortium Chairs
For further questions, contact the Doctoral Consortium co-chairs:
- Carlos Busso (University of Texas at Dallas, USA
- Vidhyasaharan Sethu (University of New South Wales, Australia
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