Subtle cueing for visual search in augmented reality

Weiquan Lu, Been Lirn Henry Duh, Steven Feiner

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

39 Citations (Scopus)

Abstract

Visual search in augmented reality environments is an important task that can be facilitated through different cueing methods. Current cueing methods rely on explicit cueing, which can potentially reduce visual search performance. In comparison, this paper proposes a subtle cueing method that improves visual search performance while being clutter-neutral. Two empirical user studies were conducted to evaluate our subtle cueing method in outdoor scenes. The results show that subtle cueing functions well within a narrow Feature Congestion range, and could be a feasible alternative to explicit cueing.

Original languageEnglish
Title of host publicationISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers
Pages161-166
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event11th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2012 - Atlanta, GA, United States
Duration: 5 Nov 20128 Nov 2012

Publication series

NameISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers

Conference

Conference11th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2012
Country/TerritoryUnited States
CityAtlanta, GA
Period5/11/128/11/12

Keywords

  • Outdoor scenes
  • Subtle visual cueing
  • Visual search

ASJC Scopus subject areas

  • Artificial Intelligence

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