TY  - JOUR
AB  - 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.
VL  - 8
IS  - 4
SN  - 1066-2243
DO  - 10.1108/10662249810231096
UR  - https://doi.org/10.1108/10662249810231096
AU  - Maule R. William
PY  - 1998
Y1  - 1998/01/01
TI  - Cognitive maps, AI agents and personalized virtual environments in Internet learning experiences
T2  - Internet Research
PB  - MCB UP Ltd
SP  - 347
EP  - 358
Y2  - 2024/04/16
ER  -