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.
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
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. 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.
If you have any questions, please contact the workshop organizers: wakamiya [at] is.naist.jp
This workshop is partly supported by Strategic Information and Communications R&D Promotion Programme (SCOPE) of the Ministry of Internal Affairs and Communications (MIC).