Abstract
Chance discovery is concerned with events or situations that affect human decision making; such events or situations are viewed as opportunities or risks. Perspectives are mental representations that describe partial knowledge of a task domain (cognitive perspective) as well as knowledge about other participants (social perspectives). Based on verbal protocols and a computational model of these protocols, it is argued that perspective taking is a suitable strategy to achieve chance discovery. Therefore the cognitive mechanisms underlying this strategy have been investigated and the results implicate metacognition as necessary requirement to achieve chance discovery.
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Ruediger Oehlmann, Ph.D.: He is a senior lecturer in the Cognitive Science Laboratory, School of Computing and Information Systems, Kingston University, London. He received his degrees in Mathematics, Computer Science and Psychology. His doctoral thesis describes a model of discovery learning, which he has extensively tested using psychological experiments as well as computer programs. His current research interests include perspective taking, creativity, chance discovery and collaborative work in design domains. He is a member of the British Computer Society and the Cognitive Science Society.
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Oehlmann, R. Metacognitive and computational aspects of chance discovery. NGCO 21, 3–12 (2003). https://doi.org/10.1007/BF03042321
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DOI: https://doi.org/10.1007/BF03042321