Emotional Aspects and Quality of Experience for Multifactor Evaluation of Audiovisual Content

Abstract

The present paper investigates multifactor audiovisual-content quality evaluation strategies, in mediated communication. The primary aims of the work are to identify, describe and model the mechanisms that the attributes of source content and its encoding properties influence the communication process and the involved emotional aspects in terms of Quality of Experience (QoE), information perception and understanding. Mediated learning constitutes a demanding thus suitable investigation case-study, where communication efficiency can be monitored with the use of applicable Quality of Learning (QoL) parameters, such as the learning outcome and its relation to the prior knowledge status. Real-world e-learning scenarios are utilized for sentiment analysis tests combined with QoE/QoL evaluation, using both subjective scores and perceptually-adapted metrics. This experimental research attempts to monitor communication efficiency and its relation to the quality and emotional impact of the mediated content, offering new insights in mediated learning and broader audiovisual communication services.