Towards a Reference Ontology on Mulsemedia Systems

To evaluate it, we applied ontology verification and validation techniques, including assessment by humans and a data-driven approach. The results showed that MulseOnto can be used as a consensual conceptual model for exploring the knowledge about the whole chain of mulsemedia systems.

The results include case studies where the framework has been duly applied. Multimedia applications are usually composed by audiovisual content. Traditional multimedia conceptual models, and consequently declarative multimedia authoring languages, do not support the definition of multiple sensory effects. Multiple sensorial media (mulsemedia) applications consider the use of sensory effects that can stimulate touch, smell and taste, in addition to hearing and sight.

In this chapter, we present ontology design patterns (ODPs), which are reusable modeling solutions that encode modeling best practices. ODPs are the main tool for performing pattern-based design of ontologies, which is an approach to ontology development that emphasizes reuse and promotes the development of a common “language” for sharing knowledge about ontology design best practices. We put specific focus on content ODPs (CPs) and show how they can be used within a particular methodology.

In addition, new approaches to interacting with multimedia applications have emerged such as multi-touch interfaces, voice processing, and brain-computer interfaces, giving rise to new kinds of complex interactive systems. In this article, we underpin fundamental challenges for delivering multisensory effects to heterogeneous systems. We propose an interoperable mulsemedia framework for coping with these challenges, meeting the emerging requirements.

The results showed that by pre-processing sensory effects metadata before real-time communication, and selecting the appropriate protocol, response time interval in networked event-based mulsemedia systems can decrease remarkably. Technological advances in computing have allowed multimedia systems to create more immersive experiences for users. Beyond the traditional senses of sight and hearing, researchers have observed that the use of smell, taste, and touch in such systems is becoming increasingly well-received, leading to a new category of multimedia systems called mulsemedia-multiple sensorial media-systems. In parallel, these systems introduce heterogeneous technologies to deliver different sensory effects such as lighting, wind, vibration, and smell, under varied conditions and restrictions. This new paradigm shift poses many challenges, mainly related to mulsemedia integration, delay, responsiveness, sensory effects intensities, wearable and other heterogeneous devices for delivering sensory effects, and remote delivery of mulsemedia components.

Our results are a first step towards the creation of new culinary experiences and innovative gustatory interfaces.

Haptic and motion effects have been widely used for virtual reality applications in order to provide a physical feedback from the virtual world. Such feedback was recently studied to improve the user experience in audiovisual entertainment applications.

No standardized methodology exists to conduct subjective quality assessments of multisensorial media applications. To date, researchers have employed different aspects of audiovisual standards to assess user QoE of multisensorial media applications and thus, a fragmented approach exists. In this article, the authors highlight issues researchers face from numerous perspectives including applicability (or lack of) existing audiovisual standards to evaluate user QoE and lack of result comparability due to varying approaches, specific requirements of olfactory-based multisensorial media applications, and novelty associated with these applications. Finally, based on the diverse approaches in the literature and the collective experience of authors, this article provides a tutorial and recommendations on the key steps to conduct olfactory-based multisensorial media QoE evaluation.

  • This program, organized around the theoretical background of the foundational ontology UFO (Unified Foundational Ontology), aims at developing theories, methodologies and engineering tools with the goal of advancing conceptual modeling as a theoretically sound discipline but also one that has concrete and measurable practical implications.
  • An experimental method was used to model the influence of exploration on perception, considering the application case.
  • Despite existing standards, tools, and recent research devoted to them, there is still a lack of formal and explicit representation of what mulsemedia is.
  • These problems, which are brought forward in the paper, result in low recall and precision of multimedia stimuli retrieval which makes creating emotion elicitation procedures difficult and labor-intensive.
  • MulSeMedia is related to the combination of traditional media (e.g. text, image and video) with other objects that aim to stimulate other human senses, such as mechanoreceptors, chemoreceptors and thermoreceptors.

We proved the usefulness of our ontology model by showing results according to scenario-based experiments. Software Engineering (SE) is a wide domain, where ontologies are useful instruments for dealing with Knowledge Management (KM) related problems.

A sensible media simulator and the implementation of a sensory device are presented to prove the effectiveness of the proposed system. Finally, a correlation between learning styles and sensory effects (that is, wind and vibration effects) is statistically analyzed using the proposed system. The experiment results show that the level of satisfaction with the sensory effects is unaffected overall by the learning styles of the test subjects.

Therefore, mulsemedia applications have been usually developed using general-purpose programming languages. In order to fill in this gap, this paper proposes an approach for modeling sensory effects as first-class entities, enabling multimedia applications to synchronize sensorial media to interactive audiovisual content in a high-level specification. Thus, complete descriptions of mulsemedia applications will be made possible with multimedia models and languages. In order to validate our ideas, an interactive mulsemedia application example is presented and specified with NCL (Nested Context Language) and Lua.

When SE ontologies are built and used in isolation, some problems remain, in particular those related to knowledge integration. The goal of this paper is to provide an integrated solution for better dealing with KM-related problems in SE by means of a Software Engineering Ontology Network (SEON). SEON is designed with mechanisms for easing the development and integration of SE domain ontologies.

Authoring is simplified thanks to a dedicated graphical user interface, allowing either to import external data or to synthesize effects thanks to a force-feedback device. Another key feature of this editor is the playback function which enables to preview the motion effect. Hence this new tool allows non expert users to create immersive haptic-audiovisual experiences.

Whilst work has been done on some user-centred aspects that the distribution of mulsemedia data raises, such as synchronisation, and jitter, this paper tackles complementary issues that temporality constraints pose on the distribution of mulsemedia effects. It aims at improving response time interval in networked event-based mulsemedia systems based upon prior findings in this context. Thus, we reshaped the communication strategy of an open distributed mulsemedia platform called PlaySEM to work more efficiently with other event-based applications, such as games, VR/AR software, and interactive applications, wishing to stimulate other senses to increase the immersion of users. Moreover, we added lightweight communication protocols in its interface to analyse whether they reduce network overhead. To carry out the experiment, we developed mock applications for different protocols to simulate an interactive application working with the PlaySEM, measuring the delay between them.

gerd niephaus

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