The workshop aims to bring together researchers in the fields of human-computer interaction and data science, acting as a seed for further exchange of ideas and cross-community fertilization.

Human-computer interaction research is essentially human-centred and can benefit from a broader and more thorough understanding of the state of the art of the field of data science when tackling challenges such as adequately scaffolding people interacting with and through computers. On the other hand, data science is essentially theory and technology centred and could benefit from the human-centeredness conveyed by the practices and values of the human-computer interaction community. A 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 relationship with technology.

The contributions to the workshop should reflect several aspects of Intelligent Computing. From Data Science perspective the focus may be on proper machine learning and data mining 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 modelling. The main target will be the establishment of a joint understanding of the relevant challenges and resulting research agenda.