[Asis-l] First CFP: JASIST Special Issue on Neuro-Information Science

[Jacek Gwizdka]

CFP: JASIST Special Issue on Neuro-Information Science

http://bit.ly/CFP_JASIST_SI_NeuroIS

Summary and Scope
=================
The field of neuroscience has fruitfully contributed to a wide variety of
other fields, for example, economics, marketing and information systems. In
the last decade, wide adoption and influence of neuro-physiological (NP)
research tools also led the creation of several new sub-fields, including
neuroeconomics, neuromarketing and NeuroIS.  There is now a growing
interest in the use of NP methods in human-information interaction (HII)
and interactive information retrieval (IIR) research. The latter interest
has been motivated, at least partially, by researchers who regularly
utilize search logs, direct searcher observation and questionnaires and
interviews as data collection methods and are concerned with the
limitations of these traditional methods. Experimental data obtained from
NP methods is expected to complement the more traditional data sources and,
together, contribute to improving and deepening the understanding of HII
(*1). The deeper understanding offers potential for the development of new
information search models.  The long-term and primary goal is to create
robust and predictive models that go beyond behavioral data.  A secondary
and additional goal is to develop new search models that can account for
physiological and neurological responses to information stimuli and the
influence of cognitive and affective states on users' information behavior.
The NP methods of potential usefulness to HII include, functional magnetic
resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS),
electro-encephalography (EEG), magneto-encephalography (MEG), eye-tracking
(esp. pupilometry). Example research questions include, investigating which
cognitive functions are engaged in assessing relevance; establishing
differences in NP signals collected when users are assessing relevant
vis-a-vis not relevant information; establishing differences in brain
activity between easy and difficult search tasks; relating individual
differences in search task performance to differences in activations of
brain regions.

Early applications of NP methods to HII has resulted in two emerging
threads of active research: (1) the investigation of inferring relevance
assessment and (2) the study of human responses to search tasks. The
results from the two research threads have been disseminated through a
number of recent publications that appeared at major international
conferences (e.g., ACM CHIIR, ACM SIGIR, ECIR) as well as (less frequently)
in scholarly journals (e.g., JASIST). Importantly, a few of these early
publications have garnered best-paper awards at major conferences and
scholarly venues (including JASIST). Unfortunately, many IIR researchers
and more broadly information science scholars in general are largely
unaware of the new NP methods and NP applications. This special issue aims
to increase the awareness of NP methods and their applicability and to
showcase the state-of-the-art work in this area, as well as to to examine
challenges in applying NP methods to HII and IIR research.


Topics of Interest
==================
Topics of interest for this special issue include, but are not limited to,
the following:

* Application of NP-methods in measuring antecedents of HII behaviors and
NP correlates of HII behaviors;
* HII and IIR studies that utilize NP methods;
* Adaptive or personalized search and retrieval systems that incorporate NP
data (e.g., brain-computer or gaze-based interfaces specialized for search);
* NP-based search and retrieval systems for special populations (e.g.,
older adults, people with cognitive disabilities);
* Models and theories of HII informed by NP theories and data;
* Methods for incorporating NP data in HII research and limitations of NP
methods;
* Ethical considerations in application of NP methods in HII research;

The NP methods of interest include, but are not limited to: fMRI, fNIRS,
EEG, MEG, eye-tracking (esp. pupillometry).

Submission Guidelines
=====================
Before submitting your manuscript, please ensure you have carefully read
JASIST Submission Guidelines. The complete manuscript should be submitted
through JASIST's Submission System. To insure that you submit to the
correct special issue, please select "Special Issue on Neuro-Information
Science" as your manuscript type.

Submission Deadlines
====================
Abstract Submission Due: July 31, 2017
       (abstracts are **required**, please email to:
jasist.si.neurois at gmail.com)
Paper Submission Due: November 15, 2017 (submit to:
https://mc.manuscriptcentral.com/jasist)
First Review Notification: January 15, 2018
Revision Due: March 15, 2018
Final Notification: May 15, 2018


Guest Editors
===============
Jacek Gwizdka, iSchool, University of Texas at Austin, USA,
jacekg at ischool.utexas.edu
Heather O'Brien, iSchool, University of British Columbia, Canada,
h.obrien at ubc.ca,
Kelly Giovanello, Biomedical Research Imaging Center, University of North
Carolina, USA, kgio at email.unc.edu
Yashar Moshfeghi, CS, University of Glasgow, UK
Yashar.Moshfeghi at glasgow.ac.uk
Max Wilson, CS, University of Nottingham , UK, Max.Wilson at nottingham.ac.uk


(*1) Mostafa, J., & Gwizdka, J. (2016). Deepening the Role of the User:
Neuro-Physiological Evidence As a Basis for Studying and Improving Search.
In Proceedings of the 2016 ACM on Conference on Human Information
Interaction and Retrieval (pp. 63-70). New York, NY, USA: ACM.
https://doi.org/10.1145/2854946.2854979




Best
- Jacek

Jacek Gwizdka, PhD(Toronto) MASc(Toronto) MEng(TULodz)
'Pluralitas non est ponenda sine necessitate' - William
of Ockham (1285-1349)
Research Talk <http://bit.ly/Jacek_RU_talk_2015> on NeuroIR          |
       http://gwizdka.com/research
Assistant Professor at School of Information, University of Texas at Austin
1616 Guadalupe St,  Austin, TX 78701, USA |  Office 5.532 (5th floor)
Information eXperience (IX) lab Co-Director   |  ACM Senior Member
Distinguished Fellow of the Kosciuszko Foundation Collegium of Eminent
Scientists
<http://jsg.tel/>