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Objective and Subjective Assessment of Stereoscopically Separated Labels in Augmented Reality
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
NASA Ames Research Center.
2009 (English)In: Computers & graphics, ISSN 0097-8493, Vol. 33, no 1, 23-33 p.Article in journal (Refereed) Published
Abstract [en]

We present a new technique for managing visual clutter caused by overlapping labels in complex information displays. This technique, label layering, utilizes stereoscopic disparity as a means to segregate labels in depth for increased legibility and clarity. By distributing overlapping labels in depth, we have found that selection time during a visual search task in situations with high levels of visual overlap is reduced by 4s or 24%. Our data show that the stereoscopically based depth order of the labels must be correlated with the distance order of their corresponding objects, for practical benefits. An algorithm using our label layering technique accordingly could be an alternative to traditional label placement algorithms that avoid label overlap at the cost of distracting view plane motion, symbology dimming or label size reduction.

Place, publisher, year, edition, pages
Elsevier , 2009. Vol. 33, no 1, 23-33 p.
Keyword [en]
Label placement, User interfaces, Visual clutter, Augmented reality, Air traffic control
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-17515DOI: 10.1016/j.cag.2008.11.006OAI: oai:DiVA.org:liu-17515DiVA: diva2:209910
Available from: 2009-03-27 Created: 2009-03-27 Last updated: 2009-12-07Bibliographically approved
In thesis
1. Stereoscopic Label Placement: Reducing Distraction and Ambiguity in Visually Cluttered Displays
Open this publication in new window or tab >>Stereoscopic Label Placement: Reducing Distraction and Ambiguity in Visually Cluttered Displays
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

With increasing information density and complexity, computer displays may become visually cluttered, adversely affecting overall usability. Text labels can significantly add to visual clutter in graphical user interfaces, but are generally kept legible through specific label placement algorithms that seek visual separation of labels and other objects in the 2D view plane. This work studies an alternative approach: can overlapping labels be visually segregated by distributing them in stereoscopic depth? The fact that we have two forward-looking eyes yields stereoscopic disparity: each eye has a slightly different perspective on objects in the visual field. Disparity is used for depth perception by the human visual system, and is therefore also provided by stereoscopic 3D displays to produce a sense of depth.

This work has shown that a stereoscopic label placement algorithm yields user performance comparable with existing algorithms that separate labels in the view plane. At the same time, such stereoscopic label placement is subjectively rated significantly less disturbing than traditional methods. Furthermore, it does not allow for potentially ambiguous spatial relationships between labels and background objects inherent to labels separated in the view plane. These findings are important for display systems where disturbance, distraction and ambiguity of the overlay can negatively impact safety and efficiency of the system, including the reference application of this work: an augmented vision system for Air Traffic Control towers.

Place, publisher, year, edition, pages
Linköping: Linköping University Electroic Press, 2009. 75 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1293
Keyword
Label placement, user interfaces, stereoscopic displays, augmented reality, virtual reality, visual clutter
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-51742 (URN)978-91-7393-469-5 (ISBN)
Public defence
2009-12-18, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 14:15 (English)
Opponent
Supervisors
Available from: 2009-12-07 Created: 2009-11-16 Last updated: 2015-09-22Bibliographically approved

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Peterson, Stephen D.Axholt, Magnus

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