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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 reviewersí 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 didnít 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

Program Chairs: Lora Aroyo and Sidney DíMello

Doctoral Consortium Chairs: Vania Dimitrova and Maria Bielikova

Posters and Demos Chairs: Darina Dicheva and TBA

General Chairs: Julita Vassileva and James Blustein
 
Conference Website
http://www.um.org/umap2016/


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Dipl.-Ing. Dr.techn. Christoph Trattner BSc
Know-Center
Research Center for Big Data Analytics & Data Driven Business
Graz University of Technology, Austria
Tel: +43 650 2402801  
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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
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