Call for Papers
Designing Human-Computer Assistance Systems (HuCAS)
Pre-WI 2017 Workshop
February, 12th 2017 in St. Gallen, Switzerland
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.
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.
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.
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.
- Submission deadline: 30.11.2016
- Authors notification: 15.01.2017
- Workshop: 12.02.2017
- 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
- 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)
Institute of Information Systems and Marketing (IISM) & Karlsruhe Service Research Institute (KSRI)
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