Stereoscopic Label Placement: Reducing Distraction and Ambiguity in Visually Cluttered Displays
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
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.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1293
Label placement, user interfaces, stereoscopic displays, augmented reality, virtual reality, visual clutter
National CategoryComputer Science
IdentifiersURN: urn:nbn:se:liu:diva-51742ISBN: 978-91-7393-469-5OAI: oai:DiVA.org:liu-51742DiVA: diva2:277279
2009-12-18, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 14:15 (English)
Wann, John, Professor
Ynnerman, Anders, ProfessorCooper, Matthew, Univ.lekt
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