Scholarly Works, Center for Human-Computer Interaction (CHCI)

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https://hdl.handle.net/10919/83969
Research articles, presentations, and other scholarship

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Browsing Scholarly Works, Center for Human-Computer Interaction (CHCI) by Author "Center for Human-Computer Interaction (CHCI)"

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    Bare-hand volume cracker for raw volume data analysis
    Socha, John J.; Laha, Bireswar; Bowman, Douglas A. (2016-09-28)
    Analysis of raw volume data generated from different scanning technologies faces a variety of challenges, related to search, pattern recognition, spatial understanding, quantitative estimation, and shape description. In a previous study, we found that the volume cracker (VC) 3D interaction (3DI) technique mitigated some of these problems, but this result was from a tethered glove-based system with users analyzing simulated data. Here, we redesigned the VC by using untethered bare-hand interaction with real volume datasets, with a broader aim of adoption of this technique in research labs. We developed symmetric and asymmetric interfaces for the bare-hand VC (BHVC) through design iterations with a biomechanics scientist. We evaluated our asymmetric BHVC technique against standard 2D and widely used 3DI techniques with experts analyzing scanned beetle datasets. We found that our BHVC design significantly outperformed the other two techniques. This study contributes a practical 3DI design for scientists, documents lessons learned while redesigning for bare-hand trackers and provides evidence suggesting that 3DI could improve volume data analysis for a variety of visual analysis tasks. Our contribution is in the realm of 3D user interfaces tightly integrated with visualization for improving the effectiveness of visual analysis of volume datasets. Based on our experience, we also provide some insights into hardware-agnostic principles for design of effective interaction techniques.
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    Technology helps students transcend part-whole concepts
    Norton, Anderson H. III; Wilkins, Jesse L. M.; Evans, Michael A.; Deater-Deckard, Kirby; Balci, Osman; Chang, Mido (2014-02)
    How would your students make sense of the fraction 5/7? Would they interpret it as 5 parts out of 7 equal parts? Could they also understand it as a piece that is 5 times as large as 1/7? The former interpretation aligns with part-whole conceptions, whereas the latter aligns with partitive conceptions. Steffe and Olive (2010) have made such distinctions in students’ fractional knowledge to explain why students experience difficulties with fractions and to help students overcome those difficulties. (For summaries of this work, see Norton and McCloskey 2008 and 2009.) We introduce an educational video game (application, or app) designed to promote students’ development of partitive understanding while demonstrating the critical need to promote that development. The app includes essential game features of immediate feedback, incentives, and summary information for refl ection and discussion (Evans et al. 2013).