Special Session on Human-centric Internet and Multimedia Systems
- Submission deadline:
December 15, 2017January 19, 2018 (extended)
- Acceptance notification: February 21, 2018
- Camera ready deadline: April 19, 2018
- Online submission: https://submissions.mmsys2018.org/humancentric
- Submission format: 6-12 pages, using ACM style format (double-blind). Please see the submission guidelines for more information about the process.
- Reproducibility: obtain an ACM reproducibility badge by making datasets and code available (authors will be contacted to make their artifacts available after paper acceptance)
Special Session chairs
- Tobias Hoßfeld, University of Duisburg-Essen, Germany
- Lea Skorin-Kapov, University of Zagreb, Croatia
- Peter Reichl, University of Vienna, Austria
- Jörg Ott, TU Munich, Germany
- Ragnhild Eg, Westerdals Oslo School of Arts, Communication and Technology, Norway
Scope & goals
Internet services and multimedia services are nowadays facing a human-centric paradigm in the design of architectures and protocols, the operation and management of systems, but also in the assessment of those services. Multimedia and consumer services aim to satisfy its customers by delivering high Quality of Experience (QoE), aiming for more extensive user engagement through improvements in perceived quality and immersive techniques. At the same time, the competitive edge depends on cost-efficient operations. Empowered by the cloud and emerging concepts like deep learning, new algorithms and protocols are attracting attention. Among other applications, these enable the design of services and devices that anticipate and respond to the user’s perception and behavior, learn usage patterns, measure context information, or even emulate user and device interactions. Despite the new possibilities, financial, timely and legal considerations impose restrictions on their use and introduce potential trade-offs, such as weighing QoE, privacy and fairness among users up against production, hardware and operation costs. Likewise for the Internet of Things (IoT) and data-centric Internet services, the Quality of Information (QoI) is the crucial quality indicator. Measurement data may be obtained from mobile sensors, like smart devices or IoT devices, which may also rely on crowdsourcing approaches. Again, several trade-offs arise concerning QoI, costs and privacy.
This special session addresses recent technologies and latest advances, their benefits and challenges to creating human-centric Internet services and multimedia systems. This includes the study of user intent and user behavior, the analysis of trade-offs as well as metrics, measures, and measurement tools to assess QoE, QoI, costs, along with ethical considerations like privacy. Topics of interest include, but are not limited to the following:
Topics of Interest:
- User-centric algorithms in multimedia systems covering e.g. QoE and user engagement
- Human-centric algorithms for Internet data services, e.g. Internet of Things, Smart Cities
- Design of human-centric architectures and protocols
- Human-centric operation and management of Internet and multimedia services
- Machine learning approaches in human-centric Internet and multimedia systems
- Trade-off between QoE and aspects like costs, energy, fairness, privacy, etc.
- Methodologies, theoretical modeling and frameworks for human-centric Internet
- Metrics, measures, and measurement tools for Quality of Information and Quality of Experience addressing IoT services and consumer services
- Ethical and legal aspects in designing algorithms, collecting data, network measurements, subjective experiments
Papers should be between six and twelve pages long (in PDF format) including references prepared in the ACM style and written in English. Hence MMSys papers enable authors to present entire multimedia systems or research work that builds on considerable amounts of earlier work in a self-contained manner. MMSys papers are published in the ACM Digital Library; they are available for just as long as journal papers and authors should not feel compelled by space limitations to publish extended works on top of an MMSys paper. Authors who submit very specific, detailed research work are encouraged to use less than 12 pages. The papers are double-blind reviewed.