- Autor
- Chegini, Mohammad
- Shao, Lin
- Andrews, Keith
- Schreck, Tobias
- TitelToward Multimodal Interaction of Scatterplot Spaces Exploration
- Datei
- Erscheinungsjahr2018
- LicenceCC-BY
- Konferenz NameMultimodal Interaction for Data Visualization
- Konferenz OrtGrosseto
- Konferenz StaatItalien
- Konferenz URLhttps://sites.google.com/view/multimodalvis/program
- Download Statistik399
- Peer ReviewJa
- AbstractThe latest generation of large vertically-mounted multitouch displays bring new opportunities for solving visual analytics tasks. Due to their size, it is possible to visualise and collaboratively interact with high-dimensional datasets and multiple views (e.g., scatterplots, scatterplot matrices and parallel coordinates). However, using only multi-touch for input can be overly restrictive. Other modalities need to be considered to utilise the power of these screens fully. By adding natural language interaction, the user can directly interact with the visual analytics application from a distance. Incorporating eye-tracking can help narrow down what the user is looking at or is interested in. In this paper, some of the challenges of using multi-touch as input for the analysis of scatterplot spaces on large vertically-mounted multitouch displays are discussed and addressed by proposing the incorporation of other interaction modalities.
[904.11 KB]