Making health information personal: how anecdotes bring concepts to life

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Show simple item record Ricketts, Mitchell S.
dc.contributor.editor Hai-Jew, Shalin 2013-09-03T18:54:17Z 2013-09-03T18:54:17Z 2013-09-03
dc.description.abstract Research suggests people often fail to understand the personal relevance of generalized health information. To make health information more meaningful, communicators can employ anecdotes that take the form of instructive stories about the illnesses or injuries of particular people. Appropriate anecdotes may help audiences internalize health information by triggering insights such as: “I see how that could happen to me…I’d better take action.” Vivid anecdotes appear to activate many of the same neurological pathways that help us extract meaning from direct experience and observation. By eliciting vivid imagery, provoking deep thought, and forging lasting memories, anecdotes may shape beliefs and behaviors to nearly the same extent as a lived event. This chapter explores methods for integrating anecdotes into health messages to increase personal relevance and prompt important changes in health-related behavior. en_US
dc.language.iso en_US en_US
dc.publisher Information Science Reference en_US
dc.relation.uri en_US
dc.rights This chapter appears in Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality edited by Shalin Hai-Jew. Copyright 2014, IGI Global, Posted by permission of the publisher. en_US
dc.subject Health information en_US
dc.subject Anecdotes en_US
dc.subject Health messages en_US
dc.title Making health information personal: how anecdotes bring concepts to life en_US
dc.type Book chapter (publisher version) en_US 2014 en_US
dc.citation.doi doi:10.4018/978-1-4666-4462-5 en_US
dc.citation.epage 36 en_US
dc.citation.isbn 978-1-4666-4462-5 en_US
dc.citation.jtitle Advances in educational technologies and instructional design (AETID) en_US
dc.citation.spage 1 en_US
dc.citation.btitle Packaging digital information for enhanced learning and analysis: data visualization, spatialization, and multidimensionality en_US
dc.contributor.authoreid mrickett en_US

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