In conjunction with the 23rd International Conference on Intelligent User Interfaces (IUI 2018)
March 7-11, 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. The UISTDA workshop 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.
Takanori Komatsu, Meiji University, Japan
Alan Said, University of Skövde, Sweden