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This chapter introduces empiricism: philosophies of science based on the notion that science is based on observations of facts, from which generalisations can be made. A short piece of fiction is first used to illustrate this notion. Building on this story, the methods of Francis Bacon are described as a prominent example of early empiricism. This is followed by a brief treatment of positivism and its influence on different branches of science and on society. Some possible limitations for empiricism are outlined, in particular the theory-dependence and fallibility of observations. It is argued that observing without theory is inefficient as a scientific method, since we then do not know which observations are relevant. The chapter concludes with a section acknowledging that despite its limitations, empiricism still has an important role to play in science, and the limitations are revisited in an attempt to explain this.
This chapter introduces philosophies of science based on the notion that science functions within structures of theories, where some theories are fundamental and protected from falsification. A short piece of fiction illustrates this notion. Building on this story, Kuhn’s paradigms are introduced, including the concepts of scientific revolutions, paradigm shifts and incommensurability between paradigms. Some problematic aspects of paradigms are mentioned, such as the seeming lack of real scientific revolutions historically and whether progress and preservation of knowledge in science are really possible given the incommensurability between paradigms that replace each other. It is acknowledged that paradigm thinking has had a strong lasting role both within science and in society, but not always in a way Kuhn would have recognised. Lakatos’ research programmes are introduced as a similar but different approach, and the ‘new experimentalism’ is mentioned as a quite different way of dealing with theory-dependence and theory structures in science.
This chapter discusses how statistics support scientific practice by providing evidence for new ideas despite natural variation we see between people, systems and contexts. In particular, the frameworks of severe testing and new experimentalism are used to show how experiments can add to knowledge in HCI, even in the absence of strong theories of interaction.
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