KEY FACTS:• Submission deadline: UPDATED – 8 April 2018 (12:00pm PT) |
WORK-IN-PROGRESS SUBMISSIONS
We encourages researchers, students and practitioners to submit Work-in-Progress (WiP) papers based on their recent viewpoints, new discoveries, and early-stage design and development in disciplines that are in line with TVX’s areas of interest. The WiP session is geared towards early career researchers, but also caters to seasoned scholars for the presentation of unfinished projects. The WiP track thus provides a unique opportunity for exchanging brave new ideas, for receiving feedback on projects currently in progress and for fostering collaborations.
Accepted submissions will be presented as a short pitch presentation and a physical poster at the conference, and will be included in conference proceedings (indexed in the ACM Digital Library).
Working with the mentoring program, we also provide you with a chance to work with an experienced researcher (mentor) for your submission. The mentor will provide early feedback and guidance. This year, there will also be a focus on help for early researchers to publish their work in the major HCI conferences. Please note that help in this area must be within reason that mentors cannot provide translation services. In addition, please note that this is primarily aimed at those who are in adverse circumstances, or a particularly novel submission which may require additional input. If you require any support in the preparation of your contribution due to mentoring requests, please get in touch with our Inclusion and Accessibility Chairs (inclusion@tvx2018.com).
SUBMISSIONS
Work-in-Progress should be submitted in the form of a maximum 6 pages paper (including figures and references) in PDF format. Work-in-Progress paper submissions are not anonymised, and should include name, affiliation, and contact information of all authors. When submitting your work-in-progress 6 page paper, you will have to choose one of the following areas to submit your work in:
- AI/big data: Use of big data, AI, deep learning and machine learning approaches to increase value of content and experience. This can include advanced computational systems based on content and/or user generated data to support content production, recommendation systems, interactive/synchronous environments, collective intelligence and crowdsourcing, or location-based and context-aware applications and
- Social computing: Media consumption and production space with social technologies, IoT, social media and connected viewing.
- Immersive experiences: Explorations of augmented, mixed and virtual reality, UHD TV, second third and fourth screens for content production, delivery and consumption. Novel forms of content production and content consumption using purpose-built head mounted devices as a stand-alone experience or in combination with traditional viewing devices. Enabling technologies and studies into how users respond to immersive experiences and how engaging/limiting they might find these forms of content Methodologies to evaluate added value and encouraging repeat consumption.
- User experience & interaction design: how and why people consume and interact with online video and television (and with each other) and how such systems should be designed to provide easy, efficient, engaging and novel user experiences, including social aspects. This includes novel user interface designs, interaction system designs, architecture, user-centered design methods and approaches, and quality of experience measurement and monitoring.
- Content production: Content production paradigms including cross-platform services, interactive and transmedia storytelling, personalization, and immersive media production.
- Systems & infrastructures: The architecture, design, deployment, and evaluation of systems and infrastructures that support TV and online video, including the delivery, transmission, and synchronization of media in scenarios such as entertainment, gaming, education, and healthcare.
- Devices & interaction techniques: The design, architecture, usage and evaluation of devices and interaction techniques that enable a connected ecosystem of devices and create valuable new capabilities for online video and television.
- Media studies: Consumption practices, changing behavior as well as adoption and domestication of new TV-related services, and quality of This topic also includes research on ethical, regulatory, and policy issues as well as novel mechanisms for evaluating and measuring the impact of TV and online video.
- Business models & marketing: Novel business models and marketing strategies for the new media landscape of TV and online video (for example OTT services). This topic includes studies around novel ways of advertising models and strategies (for example targeted advertising, programmatic buying).
- Innovative concepts and media art: Innovative design strategies, new concepts, and prototype experiences for TV and online video, including case studies and media artworks and performances.
REVIEW PROCESS
Your submissions will be peer-reviewed in a non-blind manner based on originality, impact, and the quality of presentation. The review process will strive to recognize the potential of the submitted work for its future scientific, societal, economical or industrial impact.
MENTORING
This year we cordially offer mentoring support from seasoned TVX researchers and program committee members in order to assist those who need additional support in their submissions. Recipients of mentoring would typically be those who are submitting to TVX for the first time, those in circumstances which are particular adverse (e.g. a disability or personal circumstances which impact upon the paper preparation process), or a particularly novel submission which may require additional input. Please submit 28th February 2018 to apply for mentoring on your paper. For more details, please visit the Mentoring Program page (https://tvx.acm.org/2018/?page_id=2835).
AT THE CONFERENCE
To maximize the visibility of your work, accepted submissions will be presented as 1) a wip madness speech (1 minute/per person) in the main track of the conference AND 2) a poster (A1 size) in a dedicated poster session.
AFTER THE CONFERENCE
Papers will be published in the conference adjunct proceedings, indexed in the ACM Digital Library.
CONTACT INFORMATION
For further details please get in touch with the Work-in-Progress Chairs: wip@tvx2018.com
Hartmut Koenitz (HKU University, Netherlands)
Donghun Chung (Kwangwoon University, Korea)