4 Nov
2020
4 Nov
'20
1:49 p.m.
Fourth IUI Workshop on Exploratory Search and Interactive Data Analytics
(ESIDA)
https://sites.google.com/view/esida2021/home
13 April 2021, Virtual
Important Dates:
Submission deadline: December 23, 2020 (midnight Hawaii time)
Acceptance notification: January 31, 2021
Final manuscript due: February 15, 2021
Workshop: April 13, 2021
Workshop Description:
This workshop will be part of the ACM Intelligent User Interfaces 2021
Conference (http://iui.acm.org/2021/). The workshop focuses on systems
that personalize, summarize and visualize the data for supporting
interactive information seeking and information discovery, along with
tools that enable user modeling and methods for incorporating the user
needs and preferences into both analytics and visualization. Our aim is to
bring together researchers and practitioners working on different
personalization aspects and applications of exploratory search and
interactive data analytics. This will allow us to achieve four goals: (1)
propose new strategies for systems that need to convey the rationale
behind their decisions or inference, and the sequence of steps that lead
to specific (search) results; (2) develop new user modeling and
personalization techniques for exploratory search and interactive data
analytics; (3) develop a common set of design principles for this type of
systems across platforms, contexts, users and applications; (4) develop a
set of evaluation metrics for personalization in exploratory search. The
workshop aims to solicit submissions in the following areas of
personalized interactive data analytics and exploratory search:
Personalized interactive exploration via interactive data analytics:
– personalization aspects in systems for exploratory search.
– cross-domain/ context-aware/ cross-platform exploratory search systems.
– interactively modelling the user’s information needs for high-recall
information retrieval.
– new applications of exploratory search and interactive data analytics.
Data analytics:
– interactive interfaces for data-intensive platforms.
– interaction degrees of freedom.
– preprocessing vs. online processing.
– interactive data visualization evaluation of interactive systems for
exploratory search and data analytics.
Metrics for explainable intelligent systems:
– metrics for explainable exploratory search.
– explainability and transparency in expert vs. non-expert systems.
– human-in-the-loop analytics systems.
– efficient vs. explainable analytics.
– user perception of explainability and transparency in interactive
intelligent systems.
Organisers:
Dorota Glowacka,
Department of Computer Science, University of Helsinki (Finland),
glowacka[at]cs.heelsinki.fi
Evangelos Milios,
Faculty of Computer Science, Dalhousie University (Canada),
eem[at]cs.dal.ca
Axel J. Soto,
Institute for Computer Science and Engineering, UNS - CONICET (Argentina),
axel.soto[at]cs.uns.edu.ar
Fernando V. Paulovich,
Faculty of Computer Science, Dalhousie University (Canada),
paulovich[at]dal.ca
Denis Parra,
Department of Computer Science, Pontificia Universidad Católica (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
Submission Information:
We encourage submissions of work in progress, concept papers, case
studies, ongoing research projects, reports on recently completed PhD
dissertations or recently accepted journal papers, 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 ACM sigconf format), which will presented
either as contributed talks or posters
-extended abstracts (up to 4 pages in ACM sigconf format), which will be
presented as posters with a possibility to be accompanied by a demo.
Papers can be submitted through EasyChair:
https://easychair.org/conferences/?conf=esida21