Gaze analysis of avatar-based navigation with different perspectives in 3D virtual space

Jooyeon Lee, Manri Cheon, Seong Eun Moon, Jong Seok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper explores the relations between perspectives of navigation and visual perception in 3D virtual space, by analyzing avatar-based navigation with the eye-gaze data. We examine how different perspectives and types of avatars affect the users' scopes of visual perception within 3D virtual environments. Throughout this research, we attempt to draw possible connections between the perspectives and cognitive patterns of visual perception. We propose that manipulating perspectives of avatars or those of users has immediate effects on the users' scopes of visual perception and patterns of visual attention.

Original languageEnglish
Title of host publicationHAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages223-226
Number of pages4
ISBN (Electronic)9781450335270
DOIs
Publication statusPublished - 2015 Oct 21
Event3rd International Conference on Human-Agent Interaction, HAI 2015 - Daegu, Korea, Republic of
Duration: 2015 Oct 212015 Oct 24

Publication series

NameHAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction

Other

Other3rd International Conference on Human-Agent Interaction, HAI 2015
CountryKorea, Republic of
CityDaegu
Period15/10/2115/10/24

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All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Artificial Intelligence
  • Software

Cite this

Lee, J., Cheon, M., Moon, S. E., & Lee, J. S. (2015). Gaze analysis of avatar-based navigation with different perspectives in 3D virtual space. In HAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction (pp. 223-226). (HAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction). Association for Computing Machinery, Inc. https://doi.org/10.1145/2814940.2814981