Many difficult scientific discovery tasks can only be solved in
interactive ways, by combining intelligent computing techniques
with intuitive and adaptive user interfaces. It is inevitable to
use human intelligence in scientific discovery systems: human eyes
can capture complex patterns and relationships, along with
detecting the exceptional cases in a data set; the human brain can
easily manipulate perceptions to make decisions.
Ambient intelligence is about this kind of ubiquitous and
autonomous human interaction with information. Scientific discovery
is a process of creative perception and communication, dealing with
questions like: how do we significantly reduce information while
maintaining meaning, or how do we extract patterns from massive
data and growing data resources.
Originating from the SIGCHI Workshop on Ambient Intelligence for
Scientific Discovery, this state-of-the-art survey is organized in
three parts: new paradigms in scientific discovery, ambient
cognition, and ambient intelligence systems. Many chapters share
common features such as interaction, vision, language, and
biomedicine.
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