Quality of Adaptation: User Cognitive Models in Adaptation Quality Assessment

Adaptation capabilities are becoming more and more popular in applications due to several facts, including heterogeneity of users, devices and physical contexts of use where applications are currently used. Adaptation is not per se good, and poor adaptations usually lead to disappointed users that reject or disable adaptation mechanisms. Therefore, in order for adaptation to reach the mainstream mechanisms to guarantee the quality of adaptation (QoA) are required. In this paper one of those mechanisms is proposed, which is based on results coming from cognitive models developed in the literature as a mean to asses quality of adaptation.