-------- Forwarded Message --------
CALL FOR PAPERS - Business and Information Systems Engineering
(BISE)
+++ Special Issue: User Assistance for Intelligent Systems
(15.07.2019) +++
Intelligent systems have become ubiquitous in modern life and
increasingly
shift the performance of tasks away from humans (Davenport und
Kirby 2016).
Although this development has many advantages, the interplay
between
intelligent systems and humans remains a societal and
technological
challenge. On the one hand, taking humans out of the loop may lead
to
“mindless” ways of working and cause a range of errors due to
unforeseen
task complexities. On the other hand, human capabilities cannot
always cope
with intelligent systems’ functionalities (Brynjolfsson und McAfee
2016). In
sum, intelligent systems have increased their capabilities and
functionalities with a rapid pace and thereby widened the gap to
the humans’
(cognitive) capabilities to comprehend and utilize these systems.
One way to support humans in the usage of intelligent systems is
providing
user assistance that can be instantiated in many different forms
such as
decision aids, recommendation agents, virtual assistants, guidance
systems,
task-support systems, conversational agents, chatbots, or
robo-advisors.
Recent assistance functionalities in the private life context
(e.g.,
navigation and mobility assistants or smart home assistants) have
demonstrated their usefulness. Furthermore, technology giants
(e.g., Amazon,
Google, and Microsoft) have announced to release even smarter
digital
assistants to the market. In an organizational context, recent
assistance
functionalities support users in semi-automatic invoice processing
and
intelligent calendar management. In light of these increasingly
available
assistance functionalities, the role of user assistance for
interactive
intelligent systems deserves more research.
We define user assistance as a specific capability of intelligent
systems
that support users in performing their tasks better. Thereby, user
assistance results in a human-, task-, and context-dependent
augmentation of
task performance. It bridges the gap between the system’s
functionalities
and the human’s individual capabilities with the goal of
positively
influencing task outcomes (Benyon 2014; Maedche et al. 2016). User
assistance for intelligent systems can be classified along two
dimensions:
(1) the degree of interactivity enabled by user assistance, and
(2) the
degree of intelligence of user assistance. The degree of
interactivity
characterizes the assistance systems capability to support humans
in an
ongoing reciprocal and activating dialog using, potentially,
different
channels. Highly interactive systems are able to provide feedback
and
reference earlier points in communication. They furthermore allow
the user
to control and influence the communication process (Kiousis 2002).
The
degree of intelligence describes a system’s capability to provide
assistance
to the user based on the person, the context, and the current
activity. It
covers aspects of artificial intelligence such as the intention to
create
machines with minds (Haugeland 1987) and emotional intelligence,
i.e. the
capabilities to manage, understand, use, and perceive emotions
(Mayer et al.
2001).
This special issue welcomes a diversity of submissions and is
hence open for
conceptual, empirical, and/or theoretical research focusing on
user
assistance for intelligent systems. Thereby, we seek for
manuscripts that
include, but are not limited to, the following topics:
* Research on the IT-based support of individuals’ working
routines in
organizational or private life contexts
* Emerging methods and tools for research into user assistance and
interactive intelligent systems
* Empirical (qualitative or quantitative) evaluation of user
assistance
artifacts in, e.g. laboratory experiments, focus groups /
interviews
studies, online surveys, or field studies
* Research focusing on the potential detrimental aspects of user
assistance
for intelligent systems (e.g., privacy concerns, societal issues,
technology
induced stress)
* Research addressing the context and situation when user
assistance is
required
* Understanding and designing anthropomorphism in user assistance
systems
* Research on individuals’ cognitive and emotional processes when
using user
assistance and the related outcomes
Further information on the special issue can be found here:
http://www.bise-journal.com/?p=1551
-- Submission Guidelines --
Please submit papers by July 15th 2019 at the latest via the
journal’s
online submission system (
http://www.editorialmanager.com/buis/).
Please
observe the instructions regarding the format and size of
contributions to
Business & Information Systems Engineering (BISE). Papers
should adhere to
the submission general BISE author guidelines.
All papers will be reviewed anonymously (double-blind process) by
at least
two referees with regard to relevance, originality, and research
quality. In
addition to the editors of the journal, including those of this
special
focus, distinguished international professionals with scientific
and
practical backgrounds will be involved in the review process.
-- Schedule --
Anticipated publication date: June 2020
Paper submission due: 15.07.2019
Notification of authors: 30.09.2019
Revision due: 10.11.2019
Notification of authors: 15.12.2019
Completion of a second revision (if needed): 19.01.2020
-- Editors --
Stefan Morana (corresponding editor)
stefan.morana@kit.edu
Karlsruhe Institute of Technology
Jella Pfeiffer
jella.pfeiffer@kit.edu
Karlsruhe Institute of Technology
Marc. T. P. Adam
marc.adam@newcastle.edu.au
The University of Newcastle
Karlsruhe Institute of Technology (KIT)
Department of Economics and Management
Institute of Information Systems and Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Research Group “Information Systems & Service Design”
Dr. Stefan Morana
+49 721 608-41587
Fritz-Erler-Straße 23
76133 Karlsruhe, Germany
<mailto:stefan.morana@kit%20edu> stefan.morana@kit edu |
<http://issd.iism.kit.edu/> issd.iism.kit.edu |
<http://www.iism.kit.edu/>
iism.kit.edu |
<http://www.ksri.kit.edu/> ksri.kit.edu
KIT – The Research University oft he Helmholtz Association