Spatial Analytic Interfaces

• Main Author: Ens, Barrett
• Other Authors: Pourang Irani (Computer Science)
• Published: ACM 2016
• Subjects: Spatial Analytic Interfaces; Head-worn displays; HWD; HMD; Visual analytics; Information visualization; Ubiquitous analytics; Immersive analytics; Augmented reality; Mixed reality; Wearable computing; Window management; Spatial user interface; Spatial interaction; Naturalism
• Online Access: Barrett Ens, Juan David Hincapié-Ramos, and Pourang Irani. 2014. Ethereal Planes: A design framework for 2D information spaces in 3D mixed reality environments. Proceedings of the 2nd ACM Symposium on Spatial User Interaction (SUI ’14). ACM, 2–12. http://doi.org/10.1145/2659766.2659769; Barrett Ens, Eyal Ofek, Neil Bruce, and Pourang Irani. 2015. Spatial constancy of surface-embedded layouts across multiple environments. In Proceedings of the 3rd ACM Symposium on Spatial User Interaction (SUI '15). ACM, 65-68. http://dx.doi.org/10.1145/2788940.2788954; Barrett Ens and Pourang Irani. 2016. Spatial Analytic Interfaces: Spatial user interfaces for in-situ visual analytics. IEEE Computer Graphics and Applications. IEEE, in press. http://doi.org/10.1109/MCG.2016.38; Barrett M. Ens, Rory Finnegan, and Pourang P. Irani. 2014. The Personal Cockpit: A spatial interface for effective task switching on head-worn displays. Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI '14). ACM, 3171–3180. http://doi.org/10.1145/2556288.2557058; http://hdl.handle.net/1993/31595

We propose the concept of spatial analytic interfaces (SAIs) as a tool for performing in-situ, everyday analytic tasks. Mobile computing is now ubiquitous and provides access to information at nearly any time or place. However, current mobile interfaces do not easily enable the type of sophisticated analytic tasks that are now well-supported by desktop computers. Conversely, desktop computers, with large available screen space to view multiple data visualizations, are not always available at the ideal time and place for a particular task. Spatial user interfaces, leveraging state-of-the-art miniature and wearable technologies, can potentially provide intuitive computer interfaces to deal with the complexity needed to support everyday analytic tasks. These interfaces can be implemented with versatile form factors that provide mobility for doing such taskwork in-situ, that is, at the ideal time and place. We explore the design of spatial analytic interfaces for in-situ analytic tasks, that leverage the benefits of an upcoming generation of light-weight, see-through, head-worn displays. We propose how such a platform can meet the five primary design requirements for personal visual analytics: mobility, integration, interpretation, multiple views and interactivity. We begin with a design framework for spatial analytic interfaces based on a survey of existing designs of spatial user interfaces. We then explore how to best meet these requirements through a series of design concepts, user studies and prototype implementations. Our result is a holistic exploration of the spatial analytic concept on a head-worn display platform. === October 2016