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CINCH: a cooperatively designed marking interface for 3D pathway selection

Published: 15 October 2006 Publication History

Abstract

To disentangle and analyze neural pathways estimated from magnetic resonance imaging data, scientists need an interface to select 3D pathways. Broad adoption of such an interface requires the use of commodity input devices such as mice and pens, but these devices offer only two degrees of freedom. CINCH solves this problem by providing a marking interface for 3D pathway selection. CINCH interprets pen strokes as pathway selections in 3D using a marking language designed together with scientists. Its bimanual interface employs a pen and a trackball (see Figure 1), allowing alternating selections and scene rotations without changes of mode. CINCH was evaluated by observing four scientists using the tool over a period of three weeks as part of their normal work activity. Event logs and interviews revealed dramatic improvements in both the speed and quality of scientists' everyday work, and a set of principles that should inform the design of future 3D marking interfaces. More broadly, CINCH demonstrates the value of the iterative, participatory design process that catalyzed its evolution.

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cover image ACM Conferences
UIST '06: Proceedings of the 19th annual ACM symposium on User interface software and technology
October 2006
354 pages
ISBN:1595933131
DOI:10.1145/1166253
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 October 2006

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Author Tags

  1. 3D selection
  2. brain visualization
  3. gestures
  4. marking interfaces
  5. pathway selection
  6. pen-based interfaces

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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  • (2024)InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational NotebooksIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332717030:1(944-954)Online publication date: 1-Jan-2024
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