HCI-DAM 2014 - Workshop on the Interplay between Human-Computer Interaction and Data Analysis and Modeling (HCI-DAM)

The workshop aims to bring together researchers in the fields of human-computer interaction and intelligent data analysis and modeling, acting as a seed for further exchange of ideas and cross-community fertilization.
Human-computer interaction research is essentially human centered and can benefit from a broader and more thorough understanding of the state of the art of the field of data analysis and modeling when tackling challenges such as adequately scaffolding people interacting with and through computers. On the other hand, data analysis and modeling is essentially theory and technology centered and could benefit from the human-centeredness conveyed by the practices and values of the human-computer interaction community. Greater symbiosis between these two communities has the potential of improving the symbiosis between people and computing technology, facilitating the necessary balance between the convenience, pressure and overload that concomitantly characterize our contemporary relation with technology.
The contributions to the workshop should reflect several aspects of Intelligent Computing. From Data Analysis and Modeling perspective the focus may be on proper design data analysis and modeling procedures upon which HCI related research issues find their solutions. From the Human-Computer Interaction point of view, the focus could be on how to use current data analysis processes to enable adaptation, recommendation and user interaction scaffolding.
The workshop will facilitate the discussion of many theoretical and practical aspects of the interplay between human-computer interaction and data analysis and modeling. The main target will be the establishment of a joint understanding of the relevant challenges and resulting research agenda.
Topics of interests (included but not limited to):
Novel interaction techniques for information visualization
Design, development and evaluation of interactive information visualization
Data modeling, verification, validation, analysis and testing for visualization
Interaction, management and visualization of big data
Novel interaction techniques for information retrieval
Design, development and evaluation of interactive information retrieval
Distributed Modelling and Simulation
Interfaces for Distributed Data and Knowledge Processing
Novel intelligent interaction techniques
Design, development and evaluation of intelligent interfaces
Machine learning and data mining for interface design
User modeling and user-adapted interaction
Recommender systems
Decision support systems
Submission Guidelines
All accepted papers will be included in the Symposium Proceedings, which will be published by Springer as part of their series Studies in Computational Intelligence. Authors are invited to submit research and application papers 10 pages (regular papers) or 6 pages (short papers) length and must be formatted according to Springer format for multi-authored works. Latex2e macro packages (preferred) can be also downloaded from here.
Workshop Chairs
David Lamas, University of Tallinn (drl-AT-tlu.ee)
Mihai Mocanu, University of Craiova (mocanu-AT-software.ucv.ro)
Program Committee (tentative)
Birger Larsen, Royal School of Library and Information Science, in Copenhagen, Denmark
Tobias Ley, Tallinn University
Mohamed Smadi, Tallinn University
Panayiotis Zaphiris, Cyprus University of Technology
Costin Bădică, University of Craiova
Dumitru Dan Burdescu, University of Craiova
Cristian Mihăescu, University of Craiova
Costin Pribeanu, ICI Bucharest
?tefan Trăuşan-Matu, University Politehnica of Bucharest
Vladimir Cre?u, University Politehnica of Timi?oara