An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery

Autor:	Andruid Kerne, Steven M. Smith, Hyun Choi, Ross Graeber, Eunyee Koh
Rok vydání:	2008
Předmět:	Value (ethics) Measure (data warehouse) Computer science media_common.quotation_subject Human Factors and Ergonomics Cognition Representation (arts) Creativity Data science Computer Science Applications Task (project management) Human-Computer Interaction Information discovery Information integration media_common
Zdroj:	International Journal of Human-Computer Interaction. 24:460-477
ISSN:	1532-7590 1044-7318
DOI:	10.1080/10447310802142243
Popis:	Although sometimes the task that motivates searching, browsing, and collecting information resources is finding a particular fact, humans often use information resources in intellectual and creative tasks that can include comparison, understanding, and discovery. Information discovery tasks involve not only finding relevant information but also seeing relationships among collected information resources and developing new ideas. The hypothesis presented here is that how information is represented impacts the magnitude of human creativity in information discovery tasks. How can we measure this creative cognition? Studies of search have focused on time and accuracy, metrics of limited value for measuring creative discovery. A new experimental method is developed, which measures the emergence of new ideas in information discovery, to evaluate the efficacy of representations. The efficacy of the typical textual list representation for information collections is compared with an alternative representation, comb...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::89e7b94114828f3215ed058a18558b44 https://doi.org/10.1080/10447310802142243 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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