Adaptive systems are often constrained by the complexity of designing for unexpected uses and preferences, integrating new software into existing systems, and supporting users in understanding and controlling system structure. In our system, Domino adaptation is driven by recommendations generated from logs of users’ activity. More efficient and enjoyable functionality can be gained through contact with other users who have been in a similar context. We demonstrate the use and utility of the approach by presenting a prototype game in which players can adapt their system with recommended upgrades in order to progress through the game with improved tools, increased efficiency and enjoyment.
分享
引用
