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The User Experience Design of Virtual and Augmented Reality for Environmental and Ecological Information - Focusing on the Conservatory of Seoul Botanic Park -

환경생태정보 전달을 위한 가상·증강현실 사용자 경험디자인 연구 - 서울식물원 온실을 중심으로 -

  • Zoh, Kyung Jin (Graduate School of Environmental Studies, Seoul National University) ;
  • Lee, Yumi (Graduate School of Environmental Studies, Seoul National University) ;
  • Song, Youngkeun (Graduate School of Environmental Studies, Seoul National University) ;
  • Jeong, Wookju (College of Agriculture and Life Sciences, Seoul National University)
  • 조경진 (서울대학교 환경대학원 환경조경학과) ;
  • 이유미 (서울대학교 환경대학원 환경조경학과) ;
  • 송영근 (서울대학교 환경대학원 환경조경학과) ;
  • 정욱주 (서울대학교 농업생명과학대학 조경.지역시스템공학부)
  • Received : 2022.02.28
  • Accepted : 2022.03.22
  • Published : 2022.04.29

Abstract

The purpose of this research is to examine the user experience design that effectively exhibits botanical information through a virtual habitat built with 3D modeling and scanning data for the conservatory at Seoul Botanic Park. Seoul Botanic Park's conservatory contains environmental and ecological information on the wide spectrum of diverse plants under twelve cities all over the world. However, the exhibition method, which focuses on maps and information boards, has limitations in delivering diverse plant and habitat information to visitors. Virtual and augmented reality can be used as an effective tool for educating and experiencing the contents of various plant species as it can convey the ecological and environmental conditions of the habitat and local culture at diverse levels. This study experimented with constructing virtual habitats using the Unreal Engine and effectively communicating various botanical information through the interaction. With the introduction of a virtual habitat, we intend to enhance the user experience of park visitors and ultimately explore the possibility of using virtual and augmented reality to convey multi-layered environmental and ecological information of landscape.

Keywords

Acknowledgement

본 연구는 2018년도 서울대학교 융·복합 연구지원 사업으로 수행된 연구임

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