Measuring stereoscopic image quality experience with interpretation based quality methodology

Jukka Häkkinen, Takashi Kawai, Jari Takatalo, Tuomas Leisti, Jenni Radun, Anni Hirsaho, Göte Nyman

Research output: Contribution to journalConference article

67 Citations (Scopus)

Abstract

Stereoscopic technologies have developed significantly in recent years. These advances require also more understanding of the experiental dimensions of stereoscopic contents. In this article we describe experiments in which we explore the experiences that viewers have when they view stereoscopic contents. We used eight different contents that were shown to the participants in a paired comparison experiment where the task of the participants was to compare the same content in stereoscopic and non-stereoscopic form. The participants indicated their preference but were also interviewed about the arguments they used when making the decision. By conducting a qualitative analysis of the interview texts we categorized the significant experiental factors related to viewing stereoscopic material. Our results indicate that reality-likeness as well as artificiality were often used as arguments in comparing the stereoscopic materials. Also, there were more emotional terms in the descriptions of the stereoscopic films, which might indicate that the stereoscopic projection technique enhances the emotions conveyed by the film material. Finally, the participants indicated that the three-dimensional material required longer presentation time, as there were more interesting details to see.

Original languageEnglish
Article number68081B
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6808
DOIs
Publication statusPublished - 2008 Dec 18
EventImage Quality and System Performance V - San Jose, CA, United States
Duration: 2008 Jan 282008 Jan 30

Keywords

  • Image quality
  • Stereoscopic film
  • Stereoscopic quality

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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