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Track27: Ubiquitous and Mobile Information Systems

Track Chairs

Christine Bauer, Vienna University of Economics and Business, Austria, chris.bauer@wu.ac.at
Wolfgang Maass, Saarland University, Germany, wolfgang.maass@iss.uni-saarland.de

Description

The increasing pervasiveness of devices, networks, and applications does not only allow for sensing the environment; rather applications can adapt dynamically to states or changes in the environment, the social status of passersby, the physiological state of users, and many more. In other words: Our ’physical world’ becomes computerized and intelligent.

However, research in the field of Pervasive/Ubiquitous Computing has mostly been approached from a technological (computing) perspective, with research mostly done by computer scientists. Accordingly, technological capabilities such as recognition of presence, location, movements, postures, etc. are meanwhile highly advanced. When it comes to meaningful applications, though, research covers only a little of the huge potential in the field. Now, the information systems community is challenged to pick up (existing) technology and leverage it towards meaningful applications and assess its effects. This innovative research thread from an IS perspective we call ubiquitous information systems (UIS). As mobile devices and applications get more and more mature, these mobile information systems (Mobile IS) are frequently combined with UIS.

As simple as it may seem, the challenge is multifaceted and complex. For instance, the development of a system that intelligently adapts to the situation requires system designers to anticipate the various characteristics and combinations of context describing the situation. But it is difficult to identify all conceivable situations that an intelligent system may encounter and has to react to. How can we specify in advance which constellations of user specificities, their behaviour, and other situational characteristics may be relevant? Which are adequate methods for identifying and modelling situations for context adaptive pervasive systems?

Once we are convinced to have considered all the relevant contextual cues, another major challenge arises: How should a system react in a specific situation in order to be meaningful? To be in a position to give answer to this question requires integrating the user perspective. Empirical work, user studies, and other systematic user-centred research methods may contribute to this issue. As soon as we are able to provide an intelligent UIS, focus of research may target the users. How to users perceive the system? Do they feel intruded into their privacy? Which positive or negative user or societal effects can be achieved by ubiquitous systems (e.g., memory effects, behavioural effects, attitudinal effects, health effects, to name but a few)? Although previously addressed mainly from the computer science perspective, the field of UIS is interdisciplinary.

In line with the overall conference theme “beyond borders” this track seeks submissions from multifaceted perspectives such as information systems, computer science, and psychology. We especially encourage research that reaches out beyond these disciplines and propose new intriguing perspectives from various application domains (e.g., health care, advertising, automotive, gaming, etc.).

All methodological approaches are welcome, including, but not limited to, qualitative studies, case studies, empirical studies, longitudinal studies as well as conceptual papers. Full papers and work-in-progress papers can be submitted to this track.

Topics of interest

Possible topics include, but are not limited to the following:
  • Design of UIS and Mobile IS
  •  Development of empirical evaluation methods
  •  Green IT for UIS and Mobile IS
  •  Experience management (experiential computing)
  •  UIS and Mobile IS for group support
  •  Communication management for UIS and Mobile IS
  •  Service management in real-world environments
  •  Privacy and Ethics
  •  Business models for UIS and Mobile IS
  •  Impact of UIS and Mobile IS on attitudes, behaviour, performance, perception, learning, and productivity
  •  Specific ubiquitous services and applications including health care, media, banking, logistics, marketing, or supply chain integration

Associate Editors

Anind K. Dey, Carnegie Mellon University, USA
Antonio Krüger, DFKI/Saarland University, Germany
Rikard Harr, Umeå University, Sweden
Shahper Vodanovich, University of Auckland Business School, New Zealand
Katerina Pramatari, Athens University of Economics and Business, Greece
Upkar Varshney, Georgia State University, USA
Stefan Poslad, Queen Mary University London, UK
Patrick Olivier, Newcastle University, UK

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