  Interactive intelligent systems, i.e., interactive systems that employ AI
technologies, are currently present in many parts of our social, public and
political life. An issue reoccurring often in the development of these systems
is the question regarding the level of appropriate human and computer
contributions. Engineers and designers lack a way of systematically defining
and delimiting possible options for designing such systems in terms of levels
of automation. In this paper, we propose, apply and reflect on a method for
human-computer configuration design. It supports the systematic investigation
of the design space for developing an interactive intelligent system. We
illustrate our method with a use case in the context of collaborative ideation.
Here, we developed a tool for information extraction from idea content. A
challenge was to find the right level of algorithmic support, whereby the
quality of the information extraction should be as high as possible, but, at
the same time, the human effort should be low. Such contradicting goals are
often an issue in system development; thus, our method proposed helped us to
conceptualize and explore the design space. Based on a critical reflection on
our method application, we want to offer a complementary perspective to the
value-centered design of interactive intelligent systems. Our overarching goal
is to contribute to the design of so-called hybrid systems where humans and
computers are partners.
