Accelerated viewpoint panning with rotational gain in 360 degree videos

Seokjun Hong, Jeonghyun Kim

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

2 Citations (Scopus)

Abstract

In this paper, we present an application of rotational gain to horizontal panning for viewing 360 degree videos. Rotational gain refers to the ratio between the rotation velocity in the virtual (video) space to that of the physical, and it allows the user to rotate one's head less quickly than actually needed (without the user noticing such adjustment to some degree). As such it can bring about convenience, and less physical movement, fatigue and possibly even sickness. We implemented a 360 video panning system with both a constant and dynamic gain, and compared user behavior and subjective usability. Our pilot study showed promising results in that with the proper gain value and control scheme, the user will unknowingly use less physical movement than needed, yet maintain reasonable spatial understanding with higher usability.

Original languageEnglish
Title of host publicationProceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology
PublisherAssociation for Computing Machinery
Pages303-304
Number of pages2
Volume02-04-November-2016
ISBN (Electronic)9781450344913
DOIs
Publication statusPublished - 2016 Nov 2
Event22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016 - Munich, Germany
Duration: 2016 Nov 22016 Nov 4

Other

Other22nd ACM Conference on Virtual Reality Software and Technology, VRST 2016
CountryGermany
CityMunich
Period16/11/216/11/4

Keywords

  • 360 video
  • Rotational gain
  • Viewpoint control

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Accelerated viewpoint panning with rotational gain in 360 degree videos'. Together they form a unique fingerprint.

  • Cite this

    Hong, S., & Kim, J. (2016). Accelerated viewpoint panning with rotational gain in 360 degree videos. In Proceedings - VRST 2016: 22nd ACM Conference on Virtual Reality Software and Technology (Vol. 02-04-November-2016, pp. 303-304). Association for Computing Machinery. https://doi.org/10.1145/2993369.2996309