Mental Models, Magical Thinking, and Individual Differences

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dc.contributor.author Turner, Phil
dc.contributor.author Sobolewska, Emilia
dc.date.accessioned 2009-06-03T10:18:44Z
dc.date.available 2009-06-03T10:18:44Z
dc.date.issued 2009
dc.identifier.citation Turner, P. & Sobolewska, E. (2009). Mental Models, Magical Thinking, and Individual Differences. Human Technology, Volume 5 (1), pp. 90-113. URN: NBN:fi:jyu-20094141412. Retrieved from http://www.humantechnology.jyu.fi
dc.identifier.issn 1795-6889
dc.identifier.uri http://hdl.handle.net/123456789/20235
dc.description.abstract Broadly, there are two mutually exclusive accounts of how people (nonspecialist users) reason about and conceptualize interactive technology. The first is based on classical cognitive psychology and is characterized by the term mental model. The second, drawing on concepts from social cognition, observes that people often anthropomorphize technology. We argue that people are able to exhibit both of these quite different styles of cognition, which Baron-Cohen has described as systemizing and empathizing. The former is associated with the drive to analyze, explore, and construct a system, whereas the latter is the ability to spontaneously tune into another’s thoughts and feelings. The propensity to systemize might give rise to a mental model, while the empathizing tendency might tend to anthropomorphize technology. We present an empirical study that lends support for the above position. en
dc.language.iso eng
dc.publisher University of Jyväskylä, Agora Center
dc.relation.ispartofseries Human Technology: An Interdisciplinary Journal on Humans in ICT Environments
dc.relation.uri http://www.humantechnology.jyu.fi
dc.rights © 2009 Phil Turner & Emilia Sobolewska, and the Agora Center, University of Jyväskylä
dc.subject.other human computer interaction en
dc.subject.other cognitive style en
dc.subject.other mental model en
dc.subject.other anthropomorphization en
dc.title Mental Models, Magical Thinking, and Individual Differences
dc.type Article
dc.identifier.urn URN:NBN:fi:jyu-20094141412

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