Browsing by Author "Collins, Christopher"
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Item Metadata only Augmenting tandem language learning with the TandemTable(ACM, 2013) Paluka, Erik; Collins, ChristopherIn this paper, we present our computer-assisted language learning system called TandemTable. It is designed for a multi-touch tabletop and is meant to aid co-located tandem language learners during their learning sessions. By suggesting topics of discussion, and presenting learners with a variety of conversation-focused collaborative activities with shared digital artifacts, the system helps to inspire conversations and help them flow.Item Metadata only Exploring Entities in Text with Descriptive Non-photorealistic Rendering(IEEE, 2013) Chang, Meng-Wei; Collins, ChristopherWe present a novel approach to text visualization called descriptive non-photorealistic rendering which exploits the inherent spatial and abstract dimensions in text documents to integrate 3D non-photorealistic rendering with information visualization. The visualization encodes text data onto 3D models, emphasizing the relative significance of words in the text and the physical, real-world relationships between those words. Analytic exploration is supported through a collection of interactive widgets and direct multitouch interaction with the 3D models. We applied our method to analyze a collection of vehicle complaint reports from the National Highway Traffic Safety Administration (NHTSA), and through a qualitative study, we demonstrate how our system can support tasks such as comparing the reliability of different models, finding interesting facts, and revealing possible causal relations between car parts.Item Metadata only Exploring entities in text with descriptive non-photorealistic rendering(IEEE, 2013) Chang, Meng-Wei; Collins, ChristopherWe present a novel approach to text visualization called descriptive non-photorealistic rendering which exploits the inherent spatial and abstract dimensions in text documents to integrate 3D non-photorealistic rendering with information visualization. The visualization encodes text data onto 3D models, emphasizing the relative significance of words in the text and the physical, real-world relationships between those words. Analytic exploration is supported through a collection of interactive widgets and direct multitouch interaction with the 3D models. We applied our method to analyze a collection of vehicle complaint reports from the National Highway Traffic Safety Administration (NHTSA), and through a qualitative study, we demonstrate how our system can support tasks such as comparing the reliability of different models, finding interesting facts, and revealing possible causal relations between car parts.Item Open Access The Simple Multi-touch Toolkit(2015-01-29) Hancock, Mark; Collins, Christopher; Cook, Zachary; Sikes, Kalev Kalda; Paluka, ErikDeveloping multi-touch applications can be difficult and tedious, especially for people without a programming background. The Simple Multi-touch Toolkit, a library for Processing and Java, unifies all the most common touch input devices, including TUIO and Windows Touch, and sports simple, easy to understand syntax. Accessible, yet powerful, it opens up the realm of touch to the inexperienced programmer, and makes coding multi-touch interactions much easier. For more information, http://vialab.science.uoit.ca/SMT/Item Open Access View-Flattening: Revealing Heterogeneous Multi-Dimensional Data Attributes within a Single View(2018-01-25) Hosseinkhani Loorak, Mona; Carpendale, Sheelagh; Sharlin, Ehud; Collins, ChristopherThe drastic increase in data is impacting all knowledge workers and driving demand for effective methods of exploring, analyzing, and understanding data. Much of this ever-growing data is heterogeneous multi-dimensional data. In other words, it may have many multi-typed data attributes. Currently, the tendency is to approach this complexity through a type of divide and conquer technique by making multiple views using largely familiar visualizations, and providing types of filtering interactions. In this PhD research, we examine whether it is possible to try a different approach to this problem by considering to what extent existing or familiar visual representations can be extended to incorporating multiple heterogeneous data attributes into a single view. This is the idea behind a concept that we call view-flattening. To explore this idea, we have designed and implemented new interactive visualizations of heterogeneous multi-dimensional data in three domains including security, business intelligence, and health care. In developing these visualizations, we followed a traditional human-centered methodology, working closely with domain experts to understand their data needs and tasks. Designing different domain-specific flattened visualizations acted as a catalyst in this research, through which we derived a generalized view flattening technique that can extend several well-known and familiar visualizations. Our explorations with this technique have resulted in a design space of extended familiar visualizations that can offer expanded possibilities for embedding attributes within a visualization view.Item Open Access VisLink: Revealing Relationships Amongst Visualizations(2007-05-17) Collins, Christopher; Carpendale, SheelaghWe present VisLink, a method by which visualizations and the relationships between them can be interactively explored. VisLink readily generalizes to support multiple visualizations, empowers inter-representational queries, and enables the reuse of the spatial variables, thus supporting efficient information encoding and providing for powerful visualization bridging. Our approach uses multiple 2D layouts, drawing each one in its own plane. These planes can then be placed and re-positioned at will, side by side, in parallel, or in chosen placements that provide favoured views. Relationships, connections and patterns between visualizations can be revealed.