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Behind the Curtain of the “Ultimate Empathy Machine": On the Composition of Virtual Reality Nonfiction Experiences

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

Original languageEnglish
Title of host publicationCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Publisher or commissioning bodyAssociation for Computing Machinery (ACM)
Number of pages12
ISBN (Print)9781450359702
DOIs
DateAccepted/In press - 7 Jan 2019
DatePublished (current) - 2 May 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19

Abstract

Virtual Reality nonfiction (VRNF) is an emerging form of immersive media experience created for consumption using panoramic “Virtual Reality" headsets. VRNF promises nonfiction content producers the potential to create new ways for audiences to experience “the real"; allowing viewers to transition from passive spectators to active participants. Our current project is exploring VRNF through a series of ethnographic and experimental studies. In order to document the content available, we embarked on an analysis of VR documentaries produced to date. In this paper, we present an analysis of a representative sample of 150 VRNF titles released between 2012-2018. We identify and quantify 64 characteristics of the medium over this period, discuss how producers are exploiting the affordances of VR, and shed light on new audience roles. Our findings provide insight into the current state of the art in VRNF and provide a digital resource for other researchers in this area.

    Research areas

  • Immersive media, Interaction, Nonfiction, Virtual reality

Event

2019 CHI Conference on Human Factors in Computing Systems, CHI 2019

Duration4 May 20199 May 2019
CityGlasgow
CountryUnited Kingdom
SponsorsACM SIGCHI (External organisation)

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via ACM at https://dl.acm.org/citation.cfm?doid=3290605.3300736 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 3 MB, PDF document

DOI

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