SBM17: Sketch Based Interfaces and Modeling 2017

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https://diglib.eg.org/handle/10.2312/2631852

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Browsing SBM17: Sketch Based Interfaces and Modeling 2017 by Subject "centered computing"

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    Characterizing User Behavior for Speech and Sketch-based Video Retrieval Interfaces
    (Association for Computing Machinery, Inc (ACM), 2017) Altıok, Ozan Can; Sezgin, Tev k Metin; Holger Winnemoeller and Lyn Bartram
    From a user interaction perspective, speech and sketching make a good couple for describing motion. Speech allows easy speci cation of content, events and relationships, while sketching brings in spatial expressiveness. Yet, we have insu cient knowledge of how sketching and speech can be used for motion-based video retrieval, because there are no existing retrieval systems that support such interaction. In this paper, we describe a Wizard-of-Oz protocol and a set of tools that we have developed to engage users in a sketchand speech-based video retrieval task. We report how the tools and the protocol t together using ''retrieval of soccer videos'' as a use case scenario. Our so ware is highly customizable, and our protocol is easy to follow. We believe that together they will serve as a convenient and powerful duo for studying a wide range of multi-modal use cases.
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    Conquering the Cube: Learning to Sketch Primitives in Perspective with an Intelligent Tutoring System
    (Association for Computing Machinery, Inc (ACM), 2017) Keshavabhotla, Swarna; Williford, Blake; Kumar, Shalini; Hilton, Ethan; Taele, Paul; Li, Wayne; Linsey, Julie; Hammond, Tracy; Holger Winnemoeller and Lyn Bartram
    Design sketching is a powerful tool for expressing ideas from pen and paper e ectively and becoming a more well-rounded communicator. Sketching instructors conventionally employ pen and paper in their classrooms to convey these fundamentals to students. However this traditional approach limits the bandwidth and capability of instructors to give timely and individualized feedback. An intelligent tutoring system can leverage the knowledge of domain expert design sketching instructors so that students can practice and receive real-time feedback outside of classroom hours. Our system leverages consulted instructor insights and observed pedagogical practices of an active university design sketching curriculum, and applies them in a mastery-based progression of exercises that utilize sketch recognition to give real-time feedback. An evaluation of our system's usability in a class of engineering students studying design sketching showed that it performed very well, was seen by the students as a motivating and intuitive practice tool, and allowed the students to improve the accuracy and speed of their sketches.
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    Flow2Code: From Hand-drawn Flowcharts to Code Execution
    (Association for Computing Machinery, Inc (ACM), 2017) Herrera-Camara, Jorge-Ivan; Hammond, Tracy; Holger Winnemoeller and Lyn Bartram
    Flowcharts play an important role when learning to program by conveying algorithms graphically and making them easy to read and understand. Computer-based owchart design requires the user to learn the so ware rst, which o en results in a steep learning curve. Paper-drawn owcharts don't provide feedback. We propose a system that allows users to draw their owcharts directly on paper combined with a mobile phone app that takes a photo of the owchart, interprets it, and generates and executes the resulting code. Flow2Code uses o -line sketch recognition and computer vision algorithms to recognize owcharts drawn on paper. To gain practice and feedback with owcharts, the user needs only a pencil, white paper, and a mobile device. e paper describes a tested system and algorithmic model for recognizing and interpreting o ine owcharts as well as a novel geometric feature, Axis Aligned Score (AAS), that enables fast accurate recognition of various quadrilaterals.
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    Interactive swept surface modeling in virtual reality with motion-tracked controllers
    (Association for Computing Machinery, Inc (ACM), 2017) McGraw, Tim; Garcia, Esteban; Sumner, Drew; Holger Winnemoeller and Lyn Bartram
    In this work we describe an interactive technique which enables gestural curve and surface design in an immersive virtual environment. We use a pair of motion tracked controllers to allow the user to intuitively control a Hermite spline curve which can be swept through space to create surfaces, or to de ne the location and orientation of cloned meshes. A head mounted display and tracked controllers replace the traditional keyboard and mouse for view selection and object interaction. Natural and expressive body motions allow the user to specify the parameters which de ne the curves and surfaces. Results are demonstrated using the HTC Vive VR system.
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    A taxonomy of motion applications in data visualization
    (Association for Computing Machinery, Inc (ACM), 2017) Arenas, Irene de la Torre -; Cruz, Pedro; Holger Winnemoeller and Lyn Bartram
    We propose a new taxonomy that explains the roles of motion in data visualization, focusing especially on their communicative aspects. Our taxonomy clarifies the main axis in how visualization designers can employ motion in data portrayal.