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Programming a User Model with Data Gathered from a User Profile
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Author(s): Daniel Scherer (State University of Paraiba, Brazil & Federal University of Campina Grande, Brazil), Ademar V. Netto (Federal University of Campina Grande, Brazil), Yuska P. C. Aguiar (Federal University of Campina Grande, Brazil)and Maria de Fátima Q. Vieira (Federal University of Campina Grande, Brazil & University of Strathclyde, UK)
Copyright: 2012
Pages: 23
Source title:
Cognitively Informed Intelligent Interfaces: Systems Design and Development
Source Author(s)/Editor(s): Eshaa M. Alkhalifa (Royal University for Women, Bahrain)and Khulood Gaid (Royal University for Women, Bahrain)
DOI: 10.4018/978-1-4666-1628-8.ch014
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Abstract
In order to prevent human error, it is essential to understand the nature of the user’s behaviour. This chapter proposes a combined approach to increase knowledge of user behaviour by instantiating a programmable user model with data gathered from a user profile. Together, the user profile and user model represent, respectively, the static and dynamic characteristics of user behaviour. Typically, user models have been employed by system designers to explore the user decision-making process and its implications, since user profiles do not account for the dynamic aspects of a user interaction. In this chapter, the user profile and model are employed to study human errors—supporting an investigation of the relationship between user errors and user characteristics. The chapter reviews the literature on user profiles and models and presents the proposed user profile and model. It concludes by discussing the application of the proposed approach in the context of electrical systems’ operation.
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