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Over the two past decades, various HCI quality evaluation methods have been proposed. Each one has its own strengths and its own shortcomings. Different methods are combined to enhance the evaluation results. To obtain better coverage of design problems and to increase the system performance, subjective and objective methods can complement each other. However, the variability of these methods features poses a challenge to effectively integrate between them. The purpose of this paper is to enhance the evaluation of HCI quality by suggesting new approach intended for improving evaluation results. This method supports a mapping model between evaluation data. It aims to specify new quality indicators that effectively integrate qualitative and quantitative data based on a set of pre-defined quality criteria. Qualitative (items) and quantitative data are respectively extracted from highly cited HCI quality questionnaires and from existing tools.

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Choosing the appropriate usability evaluation methods is a key part of the usability evaluation process of interactive adaptive systems. This step needs the consideration of different factors, leading to a multi-criteria decision analysis problem. In this paper, we present a review of the main factors reported in the literature which can affect the selection of usability evaluation methods for interactive adaptive systems. Three of the most commonly used usability evaluation methods are selected and classified according to these factors. The results of this research are used by applying a decision aid method in order to guide the choice of suitable usability evaluation methods for a given adaptive system in the field of tourism.