Mental Contents in Interacting with a Multiobjective Optimization Program
Pertti Saariluoma,
Katja Kaario,
Kaisa Miettinen and
Marko M. Mäkelä
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Pertti Saariluoma: University of Jyväskylä, Finland
Katja Kaario: University of Jyväskylä, Finland
Kaisa Miettinen: University of Jyväskylä, Finland
Marko M. Mäkelä: University of Turku, Finland
International Journal of Technology and Human Interaction (IJTHI), 2008, vol. 4, issue 3, 43-67
Abstract:
User psychology aims at understanding human-machine interaction from a psychological point of view. Its ultimate goal is to provide knowledge about human psychological properties for interaction designers. In this article, we are particularly interested in applying the theoretical concepts of mental contents (i.e., the information contents of users’ mental representations), in studying interaction with professional software. The immediate motivation for adopting such an approach arises from problems met in designing interaction processes in multiobjective optimization software. These types of software are meant to support complex thought and decision-making processes and this is why interaction design has to meet a number of theoretical problems, which do seldom arise in simpler interaction types. In four experiments, we investigated the types of knowledge required when developing ones’ capability of working with such a thought tool. We observed that in interaction design it is essential to take into account domain, professional and software specific mental content structures.
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jthi00:v:4:y:2008:i:3:p:43-67
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