Semiotic engineering was originally proposed as a semiotic approach
to designing user interface languages. Over the years, with
research done at the Department of Informatics of the Pontifical
Catholic University of Rio de Janeiro, it evolved into a semiotic
theory of human-computer interaction (HCI). It views HCI as
computer-mediated communication between designers and users at
interaction time. The system speaks for its designers in various
types of conversations specified at design time. These
conversations communicate the designers' understanding of who the
users are, what they know the users want or need to do, in which
preferred ways, and why. The designers' message to users includes
even the interactive language in which users will have to
communicate back with the system in order to achieve their specific
goals. Hence, the process is, in fact, one of communication about
communication, or metacommunication. Semiotic engineering has two
methods to evaluate the quality of metacommunication in HCI: the
semiotic inspection method (SIM) and the communicability evaluation
method (CEM). Up to now, they have been mainly used and discussed
in technical contexts, focusing on how to detect problems and how
to improve the metacommunication of specific systems. In this book,
Clarisse de Souza and Carla Leito discuss how SIM and CEM, which
are both qualitative methods, can also be used in scientific
contexts to generate new knowledge about HCI. The discussion goes
into deep considerations about scientific methodology, calling the
reader's attention to the essence of qualitative methods in
research and the kinds of results they can produce. To illustrate
their points, the authors present an extensive case study with a
free open-source digital audio editor called Audacity. They show
how the results obtained with a triangulation of SIM and CEM point
at new research avenues not only for semiotic engineering and HCI
but also for other areas of computer science such as software
engineering and programming.
Table of Contents: Introduction / Essence of Semiotic
Engineering / Semiotic Engineering Methods / Case Study with
Audacity / Lessons Learned with Semiotic Engineering Methods / The
Near Future of Semiotic Engineering
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