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<p>This dissertation explores the potential for computational systems to analyze and  support individual and collaborative human sense-making activities. In this context  human sense-making refers to the act of mentally and physically relating pieces  of information so as to develop an understanding of a particular situation. Human  sense-making activities such as brainstorming, decision-making, and problem solving  sessions often produce a lot of data such as notes, sketches, and documents. The  participants of sense-making activities usually develop a good understanding of  the relations among these individual data items. These relations define the context.  Because the relations remain within the minds of the participants they are neither  accessible to outsiders and computational systems nor can they be recorded or  backed up. This dissertation outlines a first set of computational mechanisms that  construct relations from the spatial arrangement, use, and storage of data items.  A second set of computational mechanisms takes advantage of these relations by  helping users to keep track of, search for, exchange, arrange, and visualize data items.  The computational mechanisms are both adaptive and evocative, meaning that the  computational mechanisms dynamically adapt to users and changing circumstances  while also trying to influence the human sense-making process.
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<br>Subjects: Decision support systems; Design and construction; Management information systems; Human-computer interaction</div>
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Keel, Paul Erich.</div>
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