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Towards a Subjectively Devised Parametric User Model for Analysing and Influencing Behaviour Online Using Neuroeconomics

Towards a Subjectively Devised Parametric User Model for Analysing and Influencing Behaviour Online Using Neuroeconomics

Jonathan Bishop, Mark M. H. Goode
ISBN13: 9781466650718|ISBN10: 1466650710|EISBN13: 9781466650725
DOI: 10.4018/978-1-4666-5071-8.ch005
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MLA

Bishop, Jonathan, and Mark M. H. Goode. "Towards a Subjectively Devised Parametric User Model for Analysing and Influencing Behaviour Online Using Neuroeconomics." Gamification for Human Factors Integration: Social, Education, and Psychological Issues, edited by Jonathan Bishop, IGI Global, 2014, pp. 80-95. https://doi.org/10.4018/978-1-4666-5071-8.ch005

APA

Bishop, J. & Goode, M. M. (2014). Towards a Subjectively Devised Parametric User Model for Analysing and Influencing Behaviour Online Using Neuroeconomics. In J. Bishop (Ed.), Gamification for Human Factors Integration: Social, Education, and Psychological Issues (pp. 80-95). IGI Global. https://doi.org/10.4018/978-1-4666-5071-8.ch005

Chicago

Bishop, Jonathan, and Mark M. H. Goode. "Towards a Subjectively Devised Parametric User Model for Analysing and Influencing Behaviour Online Using Neuroeconomics." In Gamification for Human Factors Integration: Social, Education, and Psychological Issues, edited by Jonathan Bishop, 80-95. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5071-8.ch005

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Abstract

The quantitative-qualitative and subjectivity-objectivity debates plague research methods textbooks, divide academic departments, and confuse post-modernists as to their existence. Those from the objective-quantitative camps will usually demand methods assume parametric principles from the start, such as homogeneity and normal distribution. Many of the subjective-qualitative camps will insist on looking and the individual meanings behind what someone is saying through their narratives and other discourses. The objective-quantitative camps on the other hand think anything that does not involve systematic acquisition and analysis or data cannot be valid. This chapter presents an approach to derive a parametric user model for understanding users that makes use of the premises and ideals of both these camps.

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