Sonification is the use of sound – mainly non-speech audio signals – for representing or displaying data. Similar to scientific visualization, sonification aims at enabling human listeners to make use of their highly-developed perceptual skills for making sense of the data. In our visually dominated cultures, particularly in the area of computer science, we find that sound is neglected modality, despite the high potential: sound directs our attention, sound accompanies every interaction and enriches it with qualitative information, sound is partly complementary to visual information, sound is processed 24/7, even if we do not look, sound is processed without effort, we constantly apply auditory learning, enabling us to use sound for tasks from exploratory analysis, detection, monitoring, diagnosis and communication.
Research on sonification in the Ambient intelligence group ranges from the development of novel techniques to sonify complex data, e.g. for auditory data mining, through applications of sonification in diverse application areas, such as sports, medical diagnosis or manual interaction.