Martin Adam

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Current place of employment:
Sheehan's of Leicester


Interactive media artist, designer and musician

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Publications by Martin Adam (bibliography)

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Zheng, Su, Bromage, Adrian, Adam, Martin and Scrivener, Stephen A. R. (2007): Surprising creativity: a cognitive framework for interactive exhibits designed for children. In: Proceedings of the 2007 Conference on Creativity and Cognition 2007, Washington DC, USA. pp. 17-26. Available online

Interactive exhibits in museums are providing exciting and dynamic learning experiences with significant potential to stimulate children's creativity. However, current sophisticated interfaces designed to deliver easily accessible information are not teaching the fundamental skills necessarily to foster genuine creative outcomes. The aim of our research is to promote a design methodology that fosters children's creativity, helping them to gain the formative skills necessary to nurture the process of creative learning. There needs to be more encouragement to motivate children's curiosity and the promotion of observational skills that can help them realise the creative possibilities to be derived from everyday experiences. This paper describes the development of the Creative Surprise Model (CSM): a cognitive framework that informs a methodology to support interactive design practitioners. It identifies the motivational link between surprise emotion and the generation of creativity. We demonstrate how it is applied by describing a real life design task.

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Changes to this page (author)

20 Feb 2010: Enabled abstracts to be shown on Martin Adam's author page.
02 Feb 2009: Page was edited
24 Jul 2007: Author was added to the bibliography

Publication statistics

Publication period:2007-2007
Publication count:1
Number of co-authors:3



Productive colleagues

Martin Adam's 3 most productive colleagues in number of publications:

Stephen A. R. Scrivener:16
Adrian Bromage:6
Su Zheng:1


Collaboration count

Number of publications with 3 favourite co-authors:

Stephen A. R. Scrivener:1
Adrian Bromage:1
Su Zheng:1

 

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Mar 19

As a rule, software systems do not work well until they have been used, and have failed repeatedly, in real applications.

-- Dave Parnas

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