[Siguse-l] CFP: SIGIR Workshop Search as Learning (SAL) 2016

Jacek Gwizdka asis at gwizdka.com
Sat Apr 9 16:04:42 EDT 2016

SIGIR Workshop:
Search as Learning (SAL) 2016


July 21, 2016, Pisa, Italy

Search systems to date are viewed more as tools for the retrieval of
content to satisfy immediate information needs, than as part of larger
complex information environments in which humans learn while interacting
with information content. Since users increasingly learn informally while
searching as well as use search systems as tools for self-study, there is a
growing recognition of the importance to address the challenges of
designing, developing, and evaluating search systems (algorithms,
interfaces, etc.) that foster discovery and enhance learning outside of
formal educational settings.

The Search as Learning Workshop aims to flesh out research directions
and methodologies,
and survey state-of-the-art approaches in this important emerging research
area. Further, this workshop wishes to bring together researchers with
backgrounds in information science (IS), human computer interaction (HCI),
and information retrieval (IR), with the goal of
integrating conceptual, experimental, and simulation-based approaches
and methodologies
from within these different fields, thus allowing the transformation of
search systems as isolated information access tools into systems that
provide support for learning directly and that consider the broader
outcomes of searching beyond a set of search results.

Topics of interest include the following (but are not limited to):

- Understanding searching as a human learning process.
- When and how learning occurs in the search process.
- The relationship between the learning process and searchers' work task
- Features and functionalities to foster learning.
- Search interface design in support of learning.
- The implications of searching for learning for different
populations:  children,
low literacy searchers, non-experts.
- The role of affect and engagement on learning while searching.
- Methods and measures to assess learning performance and experience.
- Learning analytics for search contexts.
- Collaborative aspects of searching as learning.
- Indicators of learning (while searching).
- Interaction monitoring, modelling, and optimization for learning outcomes.

The submissions will be peer reviewed (single-blind) and must be
formatted according
to the ACM SIG proceedings template. We invite position papers on the topic
(up to 2 pages) as well as reports on ongoing research (up to 4 pages). We
accept submissions through EasyChair:

Important Dates:
Submission Deadline (tentative): May 1, 2016
Notification of Acceptance: May 21, 2016
Final Papers Due: June 5, 2016
Workshop Date: July 21, 2016

Jacek Gwizdka, University of Texas at Austin, USA
Preben Hansen, Stockholm University, Sweden
Claudia Hauff, TU Delft, Netherlands
Jiyin He, CWI, Netherlands
Noriko Kando, National Institute of Informatics, Japan

Programme committee:
Leif Azzopardi, University of Glasgow
Pia Borlund, University of Copenhagen
Kevyn Collins-Thompson, University of Michigan
David Elsweiler, University of Regensburg
Kalervo Järvelin, University of Tampere
Jussi Karlgren,  KTH
Rick Kopak, University of British Columbia
Andreas Nurnberger,  Otto-von-Guericke University of Magdeburg
Jeremy Pickens, Catalyst
Rebecca Reynolds, Rutgers University
Soo Young Rieh,  University of Michigan
Hitomi Saito, Aichi University of Education
Pertti Vakkari, University of Tampere
Christa Womser-Hacker, University of Hildesheim

Please contact us at sal2016 at nii.ac.jp for further information about the

Jacek Gwizdka, PhD   http://gwizdka.com/research
'Pluralitas non est ponenda sine necessitate' - William
of Ockham (1285-1349)
Research Talk <http://bit.ly/Jacek_RU_talk_2015> on NeuroIR
Assistant Professor at School of Information, University of Texas at Austin
1616 Guadalupe St,  Austin, TX 78701, USA |  Office 5.442 (5th floor)
Information eXperience (IX) lab Co-Director   |  ACM Senior Member
Distinguished Fellow of the Kosciuszko Foundation Collegium of Eminent
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