With the increasing popularity of the Internet, interactive multimedia learning systems are widely used in both educational and industrial settings. However, as human factors vary across users, they may prefer the design of interactive multimedia learning systems differently. To have a deep understanding of the influence of human factors, we apply a data mining approach to the assessment of users' preferences in using interactive multimedia learning systems. More specifically, the K-modes algorithm is used to group users' preferences. The results indicate that users' preferences could be divided into four groups where computer experience significantly influences their preferences. Implications for the development of interactive multimedia learning systems are also discussed.
|出版狀態||已出版 - 2020|
|事件||20th British Computer Society Conference on Human-Computer Interaction: Engage, HCI 2006 - London, United Kingdom|
持續時間: 11 9月 2006 → 15 9月 2006
|???event.eventtypes.event.conference???||20th British Computer Society Conference on Human-Computer Interaction: Engage, HCI 2006|
|期間||11/09/06 → 15/09/06|