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 who reject or disable adaptation mechanisms. Therefore, for adaptation to reach the mainstream mechanisms guaranteeing the quality of adaptation (QoA) is 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 means to asses quality of adaptation.
KeywordsCognitive Load Collateral Effect Migration Cost Screen Space Adapt User Interface
This work is partly supported by the PAI06-0093-8836 grant from the Junta de Comunidades de Castilla-La Mancha, Spain.
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