Mental Models of Disappearing Systems: Challenges for a Better Understanding. Schmitt, F., Cassens, J., Kindsmüller, M. C., & Herczeg, M. In Cassens, J., Kofod-Petersen, A., Zacarias, M., & Wegener, R., editors, Proceedings of the Sixth International Workshop on Modelling and Reasoning in Context, of CEUR Workshop Proceedings, pages 61–72, Lisbon, Portugal, August, 2010. CEUR-WS.org.
Mental Models of Disappearing Systems: Challenges for a Better Understanding [link]Paper  abstract   bibtex   
In this paper, we describe our current research concerning users’ mental models of what can be called “disappearing computer systems”. This notion comprises computer systems, applications, and appliances related to ubiquitous, pervasive, or ambient computing which blend more or less seamlessly into the users’ natural environment. Mental models enable users to formulate expectations about which interactions with the system are possible and how the system will react to certain interactions. Disappearing computers lack certain cues regarding the inner workings of the system. We thus hypothesize that the mental models users build of such a system will show defects and inaccuracies that are directly related to the distributed character of interface and interaction. Our current research aims at identifying the nature of these defects, understanding their effects on human computer interaction, and developing means of avoiding them through appropriate design of both user interface and underlying system. For this purpose, we are developing an ambient, context aware computing framework with which we generate and test hypotheses in an action research paradigm. One of its components will be described along with possible future additions. The theoretical foundation of our work lies in such diverse fields as systemic functional theory of language, activity theory, and cognitive science approaches to mental models.
@InProceedings{Schmitt-Cassens-Kindsmuller-Herczeg-MRC-2010,
  keywords =  {paper},
  author =    {Felix Schmitt and Jörg Cassens and Martin C. Kindsmüller and Michael Herczeg},
  title =     {Mental Models of Disappearing Systems: Challenges for a Better Understanding},
  booktitle = {Proceedings of the Sixth International Workshop on Modelling and Reasoning in Context},
  editor =    {Jörg Cassens and Anders Kofod-Petersen and Marielba Zacarias and Rebekah Wegener},
  year =      2010,
  pages =     {61--72},
  series =    {CEUR Workshop Proceedings},
  issn =      {1613-0073},
  address =   {Lisbon, Portugal},
  month =     {August},
  pdf =       {http://ceur-ws.org/Vol-618/paper6.pdf},
  url =       {http://ceur-ws.org/Vol-618/},
  publisher = {CEUR-WS.org},
  abstract =  {In this paper, we describe our current research concerning users’ mental models of what can be called “disappearing computer systems”. This notion comprises computer systems, applications, and appliances related to ubiquitous, pervasive, or ambient computing which blend more or less seamlessly into the users’ natural environment. Mental models enable users to formulate expectations about which interactions with the system are possible and how the system will react to certain interactions. Disappearing computers lack certain cues regarding the inner workings of the system. We thus hypothesize that the mental models users build of such a system will show defects and inaccuracies that are directly related to the distributed character of interface and interaction. Our current research aims at identifying the nature of these defects, understanding their effects on human computer interaction, and developing means of avoiding them through appropriate design of both user interface and underlying system. For this purpose, we are developing an ambient, context aware computing framework with which we generate and test hypotheses in an action research paradigm. One of its components will be described along with possible future additions. The theoretical foundation of our work lies in such diverse fields as systemic functional theory of language, activity theory, and cognitive science approaches to mental models.}
}

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