This article presents the results of a study that explored the human side of the multimedia experience. We propose a model that assesses quality variation from three distinct levels: the network, the media and the content levels; and from two views: the technical and the user perspective. By facilitating parameter variation at each of the quality levels and from each of the perspectives, we were able to examine their impact on user quality perception. Results show that a significant reduction in frame rate does not proportionally reduce the user's understanding of the presentation independent of technical parameters, that multimedia content type significantly impacts user information assimilation, user level of enjoyment, and user perception of quality, and that the device display type impacts user information assimilation and user perception of quality. Finally, to ensure the transfer of information, low-level abstraction (network-level) parameters, such as delay and jitter, should be adapted; to maintain the user's level of enjoyment, high-level abstraction quality parameters (content-level), such as the appropriate use of display screens, should be adapted.  Distributed multimedia quality is not defined by a single monotone dimension; it is judged instead using numerous factors that have been shown to influence user criteria concerning presentation excellence, for example, delay or loss of frames, audio clarity, lip synchronisation during speech, as well as the general relationship between visual auditory components [Apteker 1995]. As a result, considerable work has been done looking at different aspects of distributed multimedia video quality at many different levels. Due to these multiple influences, the comparable examination of user-perceived quality becomes complex. To assist in this comparison, this article extends a quality definition model first used by Wikstrand [2003], which, building on the work of Nahrstedt and Steinmetz [1995], segregates quality into three discrete levels: the network level, the media level and content level. Wikstrand showed that all factors that influence distributed multimedia quality can be categorized by assessing the current information abstraction of multimedia data, manipulating relevant parameters, and assessing the outcome at either the same or a different information abstraction. Network-level adaptation concerns the transfer
Gulliver et al. REF found that video frame rate and network characteristics such as bandwidth and video topic impact user perception of information quality.
Defining user perception of distributed multimedia quality
TOMCCAP
Computer Science