Exploring configuration of mixed reality spaces for communication

Zhenyi He, Kenneth Perlin, Karl Toby Rosenberg

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

Abstract

Mixed Reality (MR) enables users to explore scenarios not realizable in the physical world. This allows users to communicate with the help of digital content. We investigate how different configurations of participants and content affect communication in a shared immersive environment. We designed and implemented side-by-side, mirrored face-to-face and eyes-free configurations in our multi-user MR environment and conducted a preliminary user study for our mirrored face-to-face configuration, evaluating with respect to one-to-one interaction, smooth focus shifts and eye contact within a 3D presentation using the interactive Chalktalk system. We provide experimental results and interview responses.

Original languageEnglish (US)
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
StatePublished - May 2 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: May 4 2019May 9 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
CountryUnited Kingdom
CityGlasgow
Period5/4/195/9/19

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Keywords

  • Collaboration
  • Communication
  • Mixed reality

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

He, Z., Perlin, K., & Rosenberg, K. T. (2019). Exploring configuration of mixed reality spaces for communication. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [3312761] (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3290607.3312761