Abstract
In this paper the “joint systems approach” will be discussed. The
approach is considered as a new paradigm in cognitive systems
engineering (CSE). Its central idea, that human and technology form a
functional unity, is as such not new. Why, then, has this idea become so
appealing right now? In the first part of the paper we seek answers to
this question by analysing the current situation in product design. The
conclusion is that the focus of design is shifting from single products
to intelligent environments. This change in focus induces tensions into
the design process that urge for solutions. One of them is
re-conceptualising the relationship between human and technology,
precisely what the joint system approach is about. Three different joint
system approaches are considered: the joint cognitive systems approach
(JCS), the Risö extended CSE approach, and the joint intelligent systems
(JIS) approach proposed by us. Comparisons are made with regard to how
these approaches understand the joint system to be organised. While the
JCS approach focuses on the human–technology relationship, the other two
consider this relationship as embedded in a context of object-oriented
activity. As a consequence, environment becomes included in the joint
system. In JIS approach we propose the use of the semiotic concept of
habit to characterise the ways of functioning of the joint system.
“Habit” is a tool for identifying generic patterns in the
situation-specific behaviour of the system. Defining habits enables
expressing the meaning or purpose of the system’s functioning. In the
end of the paper, we propose a design process model for the development
of JIS. This approach is aimed at designing systems in usage i.e. to
design of practices.
Original language | English |
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Pages (from-to) | 43-56 |
Journal | Cognition, Technology and Work |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2009 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Cognitive systems engineering
- Design of practice
- Distributed cognitition
- Ecological approach