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Takuro Yonezawa <[log in to unmask]>
Tue, 10 Oct 2017 11:22:35 +0900
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[Apologies if you receive multiple copies of this CFP]

We are pleased to announce UISTDA2018: International Workshop on User Interfaces for Spatial and Temporal Data Analysis
, to be held on March 11, 2018 in Tokyo, Japan as part of ACM IUI2018 - the 23rd annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces.


UISTDA2018: ACM IUI2018 Workshop on User Interfaces for Spatial and Temporal Data Analysis
Tokyo, Japan March 11, 2018

Nowadays, humanity generates and contributes to form large and complex datasets, going from documents published on media outlets, posts on social media or location-based information. The generated information tends to be complex, heterogeneous (texts, images, videos, etc.) and is growing at an incredible pace, with much of this data having a strong spatial and temporal focus. This steady increase in the availability of such a volume of information, forces the need of the development of more effective user interfaces that would assist users in efficient visualization, analysis and exploration of the data. This workshop, on User Interfaces for Spatial-Temporal Data Analysis (UISTDA2018) – to be held in conjunction with the IUI2018 conference – aims at sharing latest progress and developments, current challenges and potential applications for exploiting large amounts of spatial-temporal data. One practical application example to mention are specialized route navigation and suggestion systems for pedestrians, cyclists, tourists, or minorities such as elder people, pregnant, disabled people, etc. To generate route suggestions and explore potential suggested routes users need effective systems and user interfaces. Effective data preprocessing and management techniques are also needed for constructing large scale real-world applications or for investigating complex interaction patterns in order to detect useful knowledge.

++ List of Topics ++
The main topics of the workshop are that of supporting user interface research through the practical application of Computer Science theories or technologies for analyzing and making use of spatial-temporal data, visualizing spatial-temporal data and providing efficient access to the large wealth of spatial knowledge, especially from location-based services including volunteered geographic information (VGI) and social media. In particular we are interested in constructing effective systems to enable spatial-temporal data analysis and building real-world applications within the fields of information retrieval, information extraction, text analytics, natural language processing, artificial intelligence, machine learning, image processing, ubiquitous computing, and others. Moreover, we are also interested in solutions to offer collaborative systems/platforms for creating such data with the help of multiple users and crowds. 
The topics of this workshop are as follows (but are not limited to):
- Spatial and temporal data processing for visualization
- Spatial-temporal data visualization
- User interface design for large scale spatial and temporal data analysis
- Natural language processing for spatial and temporal data analysis
- Image processing for spatial and temporal data analysis
- Designing user interface for real-world applications
- Applications with spatial and temporal data
- Visualizing long-term processes and entity evolution
- Mining interaction patterns
- Developing interactive systems
- Developing geographic information systems
- Discovering spatial and temporal knowledge
- Evaluation metrics for user interface or applications

++ Important Dates ++
- Paper Submission: November 17, 2017
- Acceptance Notification: December 15, 2017
- Camera-ready Submission : January 3, 2018
- Workshop Day: March 11, 2018

++ Submission Guidelines ++
We invite two kinds of submissions:
- Full papers (max 8 pages)
- Short papers (max 4 pages)
* page count is excluding references Submissions should follow the standard SIGCHI format. Use either the Microsoft Word template or the LaTeX template. All submissions will undergo a peer-review process to ensure a high standard of quality. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the workshop’s topics. The reviewing process will be double-blind so submissions should be properly anonymized according to the following guidelines:
- All submissions must be written in English.
- Author’s names and affiliations are not visible anywhere in the paper.
- Acknowledgements should be anonymized or removed during the review process.
Research papers should be submitted electronically as a single PDF through the EasyChair conference submission system:

++ Organizing committee ++
- Shoko Wakamiya (Nara Institute of Science and Technology, Japan)
- Adam Jatowt (Kyoto University, Japan)
- Yukiko Kawai (Kyoto Sangyo University, Japan)
- Toyokazu Akiyama (Kyoto Sangyo University, Japan)
- Ricardo Campos (Polytechnic Institute of Tomar, LIAAD INESC TEC, Portugal)
- Takuro Yonezawa (Keio University, Japan)

++ Program Committee (to be extended) ++
- Dhruv Gupta (Max Planck Institute for Informatics, Germany)
- Sérgio Nunes (INESC TEC and FEUP, U.Porto, Portugal)
- Omar Alonso (Microsoft, USA)
- António Branco (University of Lisbon, Portugal)
- João Cordeiro (University of Beira Interior, Portugal)
- Leon Derczynski (University of Sheffield, UK)
- Alipio M. Jorge (FCUP, Univ. do Porto / LIAAD, INESC Porto L.A., Portugal)
- Jiewen Wu (Institute for InfoComm Research, A*STAR, Singapore)
- Hiroshi Kawasaki (Kyushu University, Japan)
- Taketoshi Ushiama (Kyushu University, Japan)
- Yutaka Arakawa (Nara Institute of Science and Technology, Japan)
- Kyoung-sook Kim (National Institute of Advanced Industrial Science and Technology, Japan)
- Christophe Claramunt (Naval Academy Research Institute, France)
- Vitor Mangaravite (INESC Porto, Portugal)
- Miguel Mata (UPIITA-IPN, Mexico)
- Feifei Li (University of Utah, USA)
- Bruno Martins (University of Lisbon, Portugal)
- Yihong Zhang (Kyoto University, Japan)
- Eiji Aramaki (Nara Institute of Science and Technology, Japan)
- Michael Färber (University of Freiburg, Germany)
- Arian Pasquali (INESC TEC, Portugal)
- Yuanyuan Wang (Yamaguchi University, Japan)
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