Workshop on Exploratory Search and Interactive Data Analytics (ESIDA) Los Angeles, USA, March 20, 2019 Hosted by ACM IUI 2019, March 17-20, 201 https://sites.google.com/view/esida2019 Important dates Submission deadline: December 17, 2018 (midnight Hawaii time) Acceptance notification: January 23, 2019 Final manuscript due: February 6, 2019 Workshop Topic and Description In recent years, retrieval techniques operating on text or semantic annotations, have become the industry standard for retrieval from large data collections, such as documents, images, videos, music, medical data. This approach works well with sufficient high-quality meta-data or tagging. However, with the explosive growth of big data collections, it has become apparent that tagging new data quickly and efficiently is not always possible. Secondly, even if instantaneous high-quality data tagging were possible, there would still be many instances, where search by keyword query is problematic. For example, in the case of image retrieval it might be easier for a user to define their query if they are looking for an image of a cat, but how would they specify that the cat should be of a particular shade of ginger with sad looking eyes? A solution to these problems is active engagement of the user in the information retrieval loop, thus enabling the user to not only explore a given dataset more easily but also gradually direct their search to a more specific area of the search space. The aim of this workshop is to explore new methods and interface/system design for interactive data analytics and management in various domains, including specialised text collections (e.g. legal, medical, scientific), multimedia, and bioinformatics, as well as for various tasks, such as semantic information retrieval, conceptual organization and clustering of data collections for sense-making, semantic expert profiling, and document/multimedia recommender systems. The primary audience of the workshop is researchers and practitioners in the area of interactive and personalized system design as well as interactive machine learning both from academia and industry. IUI, with its focus on the intersection of HCI and AI, is a perfect venue where researchers from system/interface design community and the machine learning community can meet. Workshop Target Areas The workshop aims to solicit submissions in all areas of interactive data analytics and exploratory search including: - design, testing and assessment of interactive systems for data analytics - interactive data visualization for exploratory and investigative analysis - interactive classification and clustering of data - user-assisted curation and validation of the analysis process, and generation of data visualizations - user engagement in the semantic analysis process via suitable annotation and correction tools - study of the trade-off between accuracy of the results and user effort - personalization and user modeling related to interactive system design Submissions aimed at solving practical problems in specific application domains are especially welcome, including: - digital libraries - legal document management - personalized online learning systems - news media - biomedical data - multimedia collections - specialized image and video collections, e.g. medical images. We encourage submissions of work in progress, concept papers, case studies, and generally material that will stimulate discussion, generate useful feedback to the authors, encourage research collaborations and vigorous exchange of ideas on promising research directions, in one of the following formats: - full papers (up to 8 pages in the ACM SIGCHI format), which will be presented either as contributed talks or posters - extended abstracts (up to 4 pages in the ACM SIGCHI format), which will be presented as posters with a possibility to be accompanied by a demo. Submission information Submissions to the workshop will be through EasyChair, <https://www.easychair.org/conferences/?conf=esida2019> https://easychair.org/conferences/?conf=esida19 Workshop date March 20, 2019 Workshop location Marriott Marina Del Rey, Los Angeles, CA, USA - https://iui.acm.org/2019/venue_transportation.html Keynote Speaker John O'Donovan: University of California, Santa Barbara, USA Organizers Dorota Glowacka, School of Informatics, University of Edinburgh, dorota.glowacka at ed.ac.uk Evangelos Milios, Faculty of Computer Science, Dalhousie University, eem at cs.dal.ca Axel J. Soto, School of Computer Science, University of Manchester, axel.soto at manchester.ac.uk Fernando V. Paulovich, Faculty of Computer Science, Dalhousie University, paulovich at dal.ca Denis Parra, Department of Computer Science, Pontificia Universidad Católica de Chile, dparra at ing.puc.cl Osnat (Ossi) Mokryn, Department of Information and Knowledge Management, University of Haifa (Israel), omokryn at univ.haifa.ac.il Program Committee (to be updated/confirmed): Jaegul Choo — Korea University, South Korea Casey Dugan — IBM T.J. Watson Research, USA Mennatallah El-Assady — University of Konstanz, Germany Maria Cristina Ferreira de Oliveira — University of São Paulo, Brazil Patrik Floreen — University of Helsinki, Finland María Luján Ganuza — Universidad Nacional del Sur, Argentina Andreas Kerren — Linnaeus University, Sweden Koji Koyamada — Kyoto University, Japan Joel Lanir — University of Haifa, Israel Alan Medlar — University of Helsinki, Finland Martijn Millecamp — Katholieke Universiteit Leuven, Belgium Rosane Minghim — University of São Paulo, Brazil Ilaria Torre — University of Genoa, Italy Chun-Hua Tsai — University of Pittsburg, USA Eduardo Veas — Graz University of Technology, Austria Chaoli Wang — University of Notre Dame, USA