ESIDA2022: Fifth Workshop on Exploratory Search and Interactive Data Analytics Online Helsinki, Finland, March 22-25, 2022 |
Conference website | https://sites.google.com/view/esida2022 |
Submission link | https://easychair.org/conferences/?conf=esida2022 |
Abstract registration deadline | January 3, 2022 |
Submission deadline | January 3, 2022 |
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
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.
Submission Guidelines
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. There is no page limit, but we recommend a length of 5000 words or less (excluding figures, tables, and references). The submission format should follow IUI's formatting guidelines.
List of Topics
The workshop aims to solicit submissions in the following areas of interactive data analytics and exploratory search:
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Personalized interactive exploration via interactive data analytics:
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personalization aspects in systems for exploratory search.
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cross-domain/ context-aware/ cross-platform exploratory search systems.
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Data analytics:
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interactive interfaces for data-intensive platforms.
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preprocessing vs. online processing.
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interactive data visualization.
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evaluation of human-centered exploratory search and data analytics.
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Explainable intelligent systems:
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metrics for explainable exploratory search.
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explainability and transparency in expert vs. non-expert systems.
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human-in-the-loop analytics systems.
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efficient vs. explainable analytics.
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user perception of explainability and transparency in interactive intelligent systems.
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Interaction with online algorithms
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conveying awareness of algorithmic fairness and bias in retrieval systems.
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exploratory studies of online algorithms and recommender systems.
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exploratory search of online manipulation systems and algorithms (e.g., fake news and bots).
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interactively modeling users' information needs for high-recall information retrieval.
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new applications of exploratory search and interactive data analytics
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Submissions aimed at solving practical problems in specific application domains are especially welcome, including:
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digital libraries
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legal document management
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personalized online learning systems
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news media
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biomedical data
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multimedia collections
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specialized image and video collections, e.g. medical images
Committees
Organizing committee
- 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, Institute for Computer Science and Engineering, UNS - CONICET, axel.soto[at]cs.uns.edu.ar
- Fernando V. Paulovich, Faculty of Computer Science, Dalhousie University, paulovich at dal.ca
- Osnat (Ossi) Mokryn, Department of Information and Knowledge Management, University of Haifa, omokryn at univ.haifa.ac.il
Invited Speakers
- TBD
Contact
All questions about submissions should be emailed to any of the organizing committees.