Dissertation/Thesis

Comparing disparity based label segregation in augmented and virtual reality

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Comparing disparity based label segregation in augmented and virtual reality
Συγγραφείς: Stephen D. Peterson, Magnus Axholt, Stephen R. Ellis
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://webstaff.itn.liu.se/~stepe/publ/2008-peterson-vrst.pdf.
Έτος έκδοσης: 2008
Συλλογή: CiteSeerX
Θεματικοί όροι: CR Categories, H.5.2 [Information Systems, User Interfaces, I.3 [Computing Methodologies, Computer Graphics Keywords, Label placement, stereoscopic dis- plays
Περιγραφή: Recent work has shown that overlapping labels in far-field AR envi-ronments can be successfully segregated by remapping them to pre-defined stereoscopic depth layers. User performance was found to be optimal when setting the interlayer disparity to 5-10 arcmin. The current paper investigates to what extent this label segregation tech-nique, label layering, is affected by important perceptual defects in AR such as registration errors and mismatches in accommodation, visual resolution and contrast. A virtual environment matched to a corresponding AR condition but lacking these problems showed a reduction in average response time by 10%. However, the perfor-mance pattern for different label layering parameters was not sig-nificantly different in the AR and VR environments, showing ro-bustness of this label segregation technique against such perceptual issues.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.2727
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.2727
http://webstaff.itn.liu.se/~stepe/publ/2008-peterson-vrst.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.BD70600E
Βάση Δεδομένων: BASE