ACM UMAP 2016 Call for Papers The 24th ACM Conference on User Modeling, Adaptation and Personalization Halifax, Nova Scotia, Canada 13-17 July 2016 Collocated with Hypertext 2016 http://www.um.org/umap2016/ UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIG CHI and SIG WEB, and organized under the auspices of User Modeling Inc. ACM UMAP 2016 covers a wide variety of research areas where adaptation may be applied. This include (but is in no way limited to) a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation: recommender systems; adaptive educational systems; intelligent user interfaces; eCommerce; advertising; digital humanities; social networks; personalized health; entertainment, and many more. Key Areas: UMAP 2016 will explore, study and shape a broad range of dimensions faced by modern user adaptive systems, covering the following Key Areas chaired by leading researchers. User Modelling for Recommender Systems (Area Chairs: Alexander Felfernig & Pasquale Lops) - Semantic recommenders - Social recommenders - User Experience, Explanations, Trust, Control - Context-aware recommender systems - Conversational recommender systems - Implicit and explicit user feedback - Preference elicitation - Machine learning for recommender systems - Case studies of real-world implementations Adaptive & Personalized Educational Systems (Area Chairs: Antonija Mitrovic) - Learner modeling - Intelligent tutoring systems - Adaptive and personalized learning support - Collaborative and group learning - Emerging environments such as MOOCs and educational games - Educational data mining and learning analytic modeling techniques - Learning at scale Modeling affective, motivational, and metacognitive aspects of learning Case studies of real-world implementations Personalization in the Social Web & Crowdsourcing Era (Area Chairs: Alessandro Bozzon & Harith Alani) - Data-driven approaches and big data techniques - Deep learning for personalization with social and crowd-generated data - Social network analysis - Modeling individuals, groups, and communities - Engagement & sustainability for personalization - User awareness and control - Privacy, perceived security, and trust - Adaptations based on personality, society, and culture - Mining of social media and crowd-generated data - Human computation and machine intelligence for personalization - Harnessing wisdom of the crowd for personalization - Case studies of real-world implementations Adaptive, Intelligent, & Multimodal User Interfaces (Area Chairs: Julien Epps & Hatice Gunes) - Multimodal user models - Natural interaction (speech, language, gestures) - Brain-computer interfaces - Adaptive information visualization - Adaptive hypermedia systems - Adaptive collaboration support - User modeling for special needs - Case studies of real-world implementations Architectures, techniques & methodologies for UMAP (Area Chairs: Stephan Weibelzahl & Mihaela Cocea) - Models of perception, action, cognition, and affect - Neurobiological and physiological models - User experience - Ongoing continuous modeling - Lifewide modeling - Data-driven approaches - Non-standard database representations (networks, graphs) - Sensor networks - Handheld and mobile devices - Standards and specifications - Interoperability, semantics - Evaluation methodologies and metrics - Case studies of real-world implementations Submission Categories and Review Process UMAP 2016 will include high quality peer-reviewed papers related to the above key areas. We welcome original, and principled research papers addressing both the theory and practice of UMAP and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts. Authors will be asked to indicate one or more key areas (from the five listed below) at the time of submission. Submissions should be made into one of two categories - long and short papers as defined below. Long papers (8 pages + references) should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed. Short papers (4 pages + references) should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies, although some form of validation is desirable. Maintaining the high quality and impact of the UMAP series, each paper will have three reviews by program committee members and a meta-review presenting the reviewers' consensual view; the review process will be coordinated by the program chairs in collaboration with the corresponding area chairs. Separation of long and short papers will be strictly enforced so papers will not compete across categories but within each category. Papers that receive high scores and are considered promising by reviewers, but didn't make the acceptance cut, will be invited to be resubmitted as posters and/or demos. Submission Details and Publication: Page limits: Long papers - 8 pages + references; Short pages: 4 pages + references. Note that reference do not count towards page limits. Papers that exceed the page limits or formatting guidelines will be returned without review. Papers must be formatted using the ACM SIG proceedings template and submitted via EasyChair. Submission templates: http://www.acm.org/publications/proceedings-template Easychair submission: https://easychair.org/conferences/?conf=umap2016 Accepted papers will be published by ACM and will be available via the ACM Digital Library. At least one author of each accepted paper must register for the conference by May 1, 2016 for the paper to be included in the proceedings. Authors are expected to attend the conference and present the paper there. Important Dates: 23 February 2016: Abstracts for Full and Short Papers (mandatory) 1 March 2016: Full and Short Papers due 25 March 2016: Doctoral consortium papers 15 April 2016: Notification for full, short, posters & DC papers 1 May 2016: Camera-ready for Full, Short, Posters & DC papers (main proceedings) Author Registration Deadline for main proceedings 7 May 2016: Workshop papers & demos, Late-Breaking Results (LBR) 1 June 2016: Notification of workshop papers & Demos, LBR papers 7 June 2016: Camera-ready for Workshop papers & Demos, LBR papers (extended proceedings) Early Registration Deadline (author registration for extended proceedings) 12 July 2016: Regular Registration Deadline 13-17 July 2016: UMAP 2016 Conference On-site Registration The submissions times are 11:59 pm Hawaii time. Organization General Chairs * Julita Vassileva, University of Saskatchewan, Canada * Jamie Blustein, Dalhousie University, Canada Program Chairs * Lora Aroyo, VU Amsterdam, the Netherlands * Sidney D'Mello, University of Notre Dame, USA Workshop and Tutorial Chairs * Federica Cena, University of Torino, Italiy * Jie Zhang, Nanyang Technological University, Singapore Doctoral Consortium Chairs * Vania Dimitrova, University of Leeds, United Kingdom * Maria Bielikova, Slovak University of Technology in Bratislava, Slovakia Poster and Demo Chairs * Darina Dicheva, Winston Salem University, USA * Michel Desmarais, Polytechnique Montreal, Canada Track Chairs User Modelling for Recommender Systems * Alexander Felfernig, University of Graz, Austria * Pasquale Lops, University of Bari, Italy Adaptive & Personalized Educational Systems * Antonija Mitrovic, University of Christchurch, New Zealand * Kalina Yacef, University of Sidney, Australia Personalization in the Social Web & Crowdsourcing Era * Alessandro Bozzon, TU Delft, The Netherlands * Harith Alani, The Open University, UK Adaptive, Intelligent, & Multimodal User Interfaces * Hatice Gunes, University of Cambridge, UK * Julien Epps, University of New South Wales Architectures, Techniques & Methodologies for UMAP * Mihaela Cocea, University of Portsmouth, UK * Stephan Weibelzahl, Private University of Applied Sciences (Goettingen), Germany Publicity Chairs * Denis Parra, PUC Chile, Santiago de Chile * Christoph Trattner, Know-Center, Austria Conference Website http://www.um.org/umap2016/ -- ------------------------------------------------------- Dipl.-Ing. Dr.techn. Christoph Trattner BSc Know-Center Research Center for Big Data Analytics & Data Driven Business Graz University of Technology, Austria E-mail: ctrattner@know-center.at Tel: +43 650 2402801 Homepage: http://christophtrattner.info ------------------------------------------------------- New book: Mining, Modeling, and Recommending 'Things' in Social Media* by M. Atzmueller, A. Chin, C. Scholz, C. Trattner (eds.) http://link.springer.com/978-3-319-14723-9 -------------------------------------------------------