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The Influence of Label Design on Search Performance and Noticeability in Wide Field of View Augmented Reality Displays

  • In Augmented Reality (AR), search performance for outdoor tasks is an important metric for evaluating the success of a large number of AR applications. Users must be able to find content quickly, labels and indicators must not be invasive but still clearly noticeable, and the user interface should maximize search performance in a variety of conditions. To address these issues, we have set up a series of experiments to test the influence of virtual characteristics such as color, size, and leader lines on the performance of search tasks and noticeability in both real and simulated environments. The first experiment showed that limited FOV will severe-ly limit search performance, but that appropriate placement of labels and leaders within the periphery can alleviate this problem without interfering with walking or decreasing user comfort. In the second experiment, we found that different types of motion are more no-ticeable in optical versus video see-through displays, but that blue coloration is most noticeable in both. Results can aid in designing more effective view management techniques, especially for wider field of view display.

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Document Type:Article
Author:Ernst Kruijff, Jason Orlosky, Naohiro Kishishita, Christina Trepkowski, Kiyoshi Kiyokawa
Parent Title (English):IEEE Transactions on Visualization and Computer Graphics
First Page:2821
Last Page:2837
Pubmed Id:http://www.ncbi.nlm.nih.gov/pubmed?term=30004877
Date of first publication:2018/07/10
This work was partially funded through the Deutsche Forschungsgemeinschaft (DFG, grants Kr 4531/1-1 and 4531/2-1), partially by the United States Department of the Navy, Office of Naval Research Grant #N62909-18-1-2036, and the JSPS Grant-in-aid for Scientific Research #15H02738.
Tag:Augmented reality; Head Mounted Display; Perception; Visualization; peripheral vision
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2018/07/14