DocumentCode :
247931
Title :
Quality of interaction experience in stereoscopic 3D TV
Author :
Haiyue Yuan ; Calic, J. ; Kondoz, A.
Author_Institution :
Centre for Vision, Speech & Signal Process., Univ. of Surrey, Guildford, UK
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
748
Lastpage :
752
Abstract :
Quality of Experience has recently become a paramount research topic in multimedia systems, especially in the emerging areas of high-definition and 3D video content. There has been a significant amount of research focusing on 3D content production, compression and delivery. However very little research has been dedicated to the emerging challenges in assessing user experience when interacting with the 3D video content. Interaction tasks such as pointing and selection are critical to the consumer´s experience of the 3D video technology. This paper studies the impact of pointing modalities on the quality of interaction experience with stereoscopic 3D television. The conducted user study compares and evaluates three pointing modalities: standard mouse-based interaction, virtual laser pointer and hand gesture modality, using the ISO 9241-9 standard for multi-directional tapping task. The results suggest that the virtual laser pointer modality can provide better quality of interaction experience than other modalities in terms of user performance and user satisfaction.
Keywords :
quality of experience; stereo image processing; three-dimensional television; visual perception; 3D video content technology; ISO 9241-9 standard; hand gesture modality; high-definition video content; interaction experience quality; mouse-based interaction; multidirectional tapping task; multimedia system; pointing modality; quality of experience; stereoscopic 3D TV; virtual laser pointer; Fatigue; Mice; Quality of service; Standards; Stereo image processing; TV; Three-dimensional displays; Fitt´s Law; Human Computer Interaction; ISO 9241-9; Quality of Experience; Stereoscopic 3D video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025150
Filename :
7025150
Link To Document :
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