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Open Access Towards prediction of Sense of Presence in immersive audiovisual communications

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Tremendous progress has been made in audiovisual communication technologies in the last decades offering a large variety of multimedia experiences. Consequently, Quality of Experience (QoE), which brings a user-centric assessment of the multimedia experience has become popular. Assessment of QoE is challenging because it depends not only on the content and users but also on the context in which the latter consume the former. QoE has become essential in order to allow creators, engineers, designers as well as product and services developers to offer increasingly richer multimedia experiences to users. This paper focuses on QoE in immersive multimedia communications. More specifically, the Sense of Presence (SoP) is explored as an important factor influencing the QoE. To reach this objective, a series of experiments have been conducted in typical situations, where users consume audiovisual content in various contexts, defined by the type of the devices used. Such experiments consisted in presenting one-minute video stimuli to twenty subjects, on three different devices: iPhone, iPad, and Ultra High Definition (UHD)TV. Subjective evaluation scores were recorded together with physiological signals of users. More particulary, Electroencephalography (EEG), Electrocardiography (ECG), and respiration signals were acquired during consumption of audiovisual stimuli tailored to each device. Furthermore, a publicly available multimodal dataset containing all acquired physiological signals together with corresponding subjective ratings was created. The resulted dataset can help in design, implementation and validation of metrics to predict SoP experienced by users in typical use cases.
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Document Type: Research Article

Publication date: 14 February 2016

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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