Lopes, DS, dos Anjos, RK and Jorge, JA (2018) Assessing the usability of tile-based interfaces to visually navigate 3-D parameter domains. International Journal of Human-Computer Studies, 118. pp. 1-13. ISSN 1071-5819
Abstract
Navigating 3-D parameter domains, such as color and orientation of an object, is a common task performed in most computer graphics applications. Although 1-D sliders are the most common interface for browsing such domains, they provide a tedious and difficult user experience that hampers finding desirable visual solutions. We present the Rhomb-i slider, a novel and visually enriching tile-based interface to navigate arbitrary 3-D parameter domains. Contrary to 1-D sliders, the Rhomb-i slider supports a sketch-based interface that gives simultaneous access to up to two parameters. We conducted a usability study to ascertain whether the proposed Rhomb-i slider is a more natural interface compared to 1-D sliders and other commonly used widgets for different 3-D parameter domains: HSV color space, super-shape curves, and rotation of a 3-D object. On the one hand, qualitative feedback and performance measures reveal that Rhomb-i sliders have similar results when compared to conventional HSV color interfaces, and are the preferred interface to efficiently explore the super-shapes parameter domain. On the other hand, Rhomb-i revealed to be a less efficient and effective interface to rotate a 3D object, thus paving the way to new design explorations regarding this tile-based interface.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier Ltd. This is an author produced version of an article published in the International Journal of Human-Computer Studies. Uploaded in accordance with the publisher's self-archiving policy.This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. |
Keywords: | Sliders; Rhombille tiling; HSV color space; Super-shape curves; 3-D rotation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Mar 2023 10:08 |
Last Modified: | 30 Mar 2023 10:08 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ijhcs.2018.05.005 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:194584 |