This paper develops frameworks to help Internet media designers address end‐user information presentation preferences by advancing structures for assessing metadata design variables. Design variables are then linked to user cognitive styles. An underlying theme is that AI methodologies may be used to help automate the Internet media design process and to provide personalized and customized experiences. User preferences concerning knowledge acquisition in online experiences provide the basis for discussions of cognitive analysis, and are extended into structural implications for media design and interaction. The assumption is made that frameworks for the alignment of design metadata with user metacognitive elements may serve as a reference to aid information design for Internet‐based media.
Maule, R.W. (1998), "Cognitive maps, AI agents and personalized virtual environments in Internet learning experiences", Internet Research, Vol. 8 No. 4, pp. 347-358. https://doi.org/10.1108/10662249810231096Download as .RIS
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