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Subject:
From:
Adam Jatowt <[log in to unmask]>
Reply To:
Adam Jatowt <[log in to unmask]>
Date:
Wed, 6 Dec 2017 14:52:39 +0900
Content-Type:
text/plain
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++Apologies for cross-posting

*******************************************************************
UISTDA2018: ACM IUI2018 Workshop on User Interfaces for Spatial and
Temporal Data Analysis
Tokyo, Japan March 11, 2018
http://sociocom.jp/~event/uistda2018/
 *******************************************************************

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: December 8, 2017 (extended)
- Acceptance Notification: December 24, 2017
- Camera-ready Submission : January 12, 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 paper format (available from https://sigchi.org/templates/). 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:
https://easychair.org/conferences/?conf=uistda2018

NOTE: A joint workshop proceedings will be published as a CEUR-WS
volume.

++ 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 ++
- 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)
- Shohei Yokoyama (Shizuoka University, Japan)
- Panote Siriaraya (Kyoto Sangyo University, Japan)

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