PanoCue: An Efficient Visual Cue with a Omnidirectional Panoramic View for Finding a Target in 3D Space

Seung A. Chung, Hwayeon Joh, Eunji Lee, Uran Oh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Finding a specific object is one of the basic tasks in both physical and virtual environments. However, visually scanning large scenes can be inefficient and frustrating, especially when the target is outside of one's field of view. As a result, there have been several studies for supporting target finding tasks in a three-dimensional environment with various visual cues. However, most studies focused on conveying either the relative position or the distance of the target to users. In this study, we propose PanoCue, which is a visual cue that overlays a panorama view of the surroundings at the center of the user's field of view for conveying both the position and the distance of a target in a 3D space with respect to the user's location and head orientation. For evaluation, we conducted a user study with 20 participants where they were asked to find a target under different visual cue conditions: PanoCue, Radar, Arrow, and a baseline without cues. As a result, we found that the presence of visual cues improves task performance and that PanoCue significantly reduces the travel distance. Findings also showed that our feedback design received positive ratings in terms of easiness, fatigue, and satisfaction.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages218-223
Number of pages6
ISBN (Electronic)9781665412988
DOIs
StatePublished - 2021
Event20th IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021 - Virtual, Online, Italy
Duration: 4 Oct 20218 Oct 2021

Publication series

NameProceedings - 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021

Conference

Conference20th IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021
Country/TerritoryItaly
CityVirtual, Online
Period4/10/218/10/21

Bibliographical note

Funding Information:
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2020-0-01460) supervised by the IITP(Institute of Information & Communications Technology Planning & Evaluation).

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Empirical studies in interaction design
  • Human-centered computing
  • Human-centered computing
  • Human-centered computing
  • Mixed / augmented reality
  • User interface design

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