[AISWorld] Extended CALL FOR PAPERS - Workshop: Designing Human-Computer Assistance Systems (HuCAS) - WI 2017

[Morana, Stefan (IISM)]

Extended  CALL FOR PAPERS - Workshop: Designing Human-Computer Assistance
Systems (HuCAS) - WI 2017 in St. Gallen, Switzerland (February 12th, 2017)

 

MOTIVATION

Initial attempts in information systems (IS) to support users with more
comprehensive, integrated assistance failed miserably, such as the famous
Clippy by Microsoft. More recent assistance functionalities, primarily in
the private life context, such as Apple’s Siri or Google Now, showed their
usefulness (Maedche et al. 2016). One research domain that is already mature
with regard to human-machine assistance is the automotive sector. For more
than 30 years, there has been research into assistance systems that
proactively support drivers (Bengler et al. 2014). Assistance systems are
also investigated in the human-machine interaction context (Wandke 2005).
The IS domain may leverage and learn from the existing (design) knowledge on
assistance systems.

 

By tailoring assistance to users’ current context and needs during the
interaction with the computer, for example by making use of the sensors or
historical user data that many devices nowadays have access to, more
advanced assistance systems can provide IS users with added value. Although
there are various attempts in IS, especially in the
human-computer-interaction community, to study the effects of assistance and
to provide concrete solutions in the form of prototypes, a great deal of
research is still needed. Thus, designing human-computer assistance systems
is a promising research field that deserves more attention in IS research
and related communities.

 

Human-computer assistance systems can be classified along two dimensions:
(1) the degree of interaction enabled by the assistance system, and (2) the
degree of intelligence of the system (Maedche et al. 2016). The degree of
interaction characterizes the assistance systems capability to support users
in an ongoing reciprocal and activating dialog using, potentially, different
channels (Benyon 2010). The degree of intelligence describes the assistance
systems capability to provide guidance or advice (Silver 2006) based on the
user’s current activities and usage environment (Gregor and Benbasat 1999).
Combining both dimensions, interactive and intelligent human-computer
assistance systems enrich the humans’ usage of computer systems in order to
help them to perform their tasks better and make better decisions.

 

INTENDED PARTICIPANTS

We invite researchers as well as practitioners with an interest in the
conceptualization, design, and evaluation of interactive and intelligent
human-computer assistance systems (HuCAS) for supporting users’ task
execution and decision making. Given the broad spectrum of HuCAS and the
topics’ interdisciplinary, we invite researchers and practitioners focusing,
for example, on human-computer interaction, decision support and decision
making, business intelligence and analytics, intelligent user interfaces,
and human behavior in IS to advance the topic in the workshop.

 

WORKSHOP TOPICS

We are interested in manuscripts addressing one of the following topics:

- Theory-grounded conceptualization of human-computer assistance systems in
general and along the two dimensions interactivity and intelligence

- Design of human-computer assistance systems in the form of decision aids,
recommendation systems, virtual assistants, guidance systems, task-support
systems, or digital assistance systems

- Research on the IT-based support of individuals’ working routines in
organizational or private life contexts

- Empirical (qualitative or quantitative) evaluation of human-computer
assistance system artifacts in, for example, laboratory experiments or field
studies

- Research addressing the context and situation when human-computer
assistance systems are required

- Research on the individuals’ cognitive processes when using human-computer
assistance systems and the related outcomes Manuscripts addressing related
topics that are not mentioned explicitly are welcome.

 

SUBMISSIONS

The submissions should be no longer than six pages (DIN A4, 12 pt Times New
Roman, single spaced) including figures, tables, and references. The format
of the submission is an anonymized PDF document that includes a title and
3-5 keywords. No specific template is provided.

 

The manuscripts should be submitted as email attachments to the workshop
chairs ( <mailto:stefan.morana at kit.edu> stefan.morana at kit.edu and
<mailto:jella.pfeiffer at kit.edu> jella.pfeiffer at kit.edu) with the subject
heading "HuCAS Workshop WI 2017".

 

Further information can be found on the HuCAS workshop website:
<http://hucas.ksri.kit.edu> http://hucas.ksri.kit.edu

 

IMPORTANT DATES

- Submission deadline: 30.11.2016 *new*

- Authors notification: 15.01.2017

- Workshop: 12.02.2017

 

WORKSHOP CHAIRS

Stefan Morana, Karlsruhe Institute of Technology (KIT), Germany
(corresponding chair) Jella Pfeiffer, Karlsruhe Institute of Technology
(KIT), Germany

 

PPROGRAM COMITTEE

Alexander Maedche, Karlsruhe Institute of Technology (KIT), Germany Bernd
Ludwig, University of Regensburg, Germany Christian Matt,
Ludwig-Maximilians-University, Munich, Germany Christine Legner, HEC
Lausanne, Switzerland Dirk Werth, AWS-Institute for digitized products and
processes, Germany Michael Scholz, University of Passau, Germany Peter
Fettke, German Research Center for Artificial Intelligence (DFKI), Germany
Shirley Gregor, Australien National University, Australia Verena Dorner,
Karlsruhe Institute of Technology, Germany

 

REFERENCES

Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., and Winner,
H. 2014. “Three Decades of Driver Assistance Systems: Review and Future
Perspectives,” IEEE Intelligent Transportation Systems Magazine (6:4), pp.
6–22.

Benyon, D. 2010. Designing interactive systems: A comprehensive guide to HCI
and interaction design, Harlow, England, New York: Addison Wesley.

Gregor, S., and Benbasat, I. 1999. “Explanations from Intelligent Systems:
Theoretical Foundations and Implications for Practice,” MIS Quarterly
(23:4), pp. 497–530.

Maedche, A., Morana, S., Schacht, S., Werth, D., and Krumeich, J. 2016.
“Catchword: ‘Advanced User Assistance Systems’,” Business & Information
Systems Engineering. 58: 367. 

Silver, M. 2006. “Decisional Guidance: Broadening the Scope,” Advances in
Management Information Systems (6), pp. 90–119.

Wandke, H. 2005. “Assistance in human–machine interaction: A conceptual
framework and a proposal for a taxonomy,” Theoretical Issues in Ergonomics
Science (6:2), pp. 129–155.

 

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
76131 Karlsruhe, Germany

 <mailto:stefan.morana at kit%20edu> stefan.morana at 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

 

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