Adaptive user interfaces have the advantage of being able to dynamically change their aspect and/or behaviour depending on the characteristics of the context of use, i.e. to improve user experience(UX). UX is an important quality factor that has been primarily evaluated with classical measures but to a lesser extent with physiological measures, such as emotion recognition, skin response, or brain activity.In a previous exploratory experiment involving users with different profiles and a wide range of ages, we analysed user experience in terms of cognitive load, engagement, attraction and memorisation when employing twenty graphical adaptive menus through the use of an Electroencephalogram (EEG) device. The results indicated that there were statistically significant differences for these four variables. However, we considered that it was necessary to confirm or reject these findings using a more homogeneous group of users.We conducted an operational internal replication study with 40 participants. We also investigated the potential correlation between EEG signals and the participants' user experience ratings, such as their preferences.The results of this experiment confirm that there are statistically significant differences between the EEG variables when the participants interact with the different adaptive menus. Moreover, there is a high correlation among the participants' UX ratings and the EEG signals, and a trend regarding performance has emerged from our analysis.These findings suggest that EEG signals could be used to evaluate UX. With regard to the menus studied, our results suggest that graphical menus with different structures and font types produce more differences in users' brain responses, while menus which use colours produce more similarities in users' brain responses. Several insights with which to improve users' experience of graphical adaptive menus are outlined.

翻译：自适应用户界面具有根据使用情境特征动态改变其外观和/或行为的优势，即用于改善用户体验（UX）。用户体验是一个重要的质量因素，此前主要采用经典测量方法进行评估，而较少采用生理测量方法，如情绪识别、皮肤反应或大脑活动。在先前一项涉及不同画像和广泛年龄段用户的探索性实验中，我们通过使用脑电图（EEG）设备，分析了用户在使用二十种图形自适应菜单时的用户体验，具体从认知负荷、参与度、吸引力和记忆性四个维度展开。结果表明，这四个变量存在统计学显著差异。然而，我们认为有必要使用更同质化的用户群体来确认或推翻这些发现。我们开展了一项操作性的内部复制研究，共有40名参与者。我们还研究了EEG信号与参与者用户体验评分（如偏好）之间的潜在相关性。该实验的结果证实，当参与者与不同自适应菜单交互时，EEG变量之间存在统计学显著差异。此外，参与者的UX评分与EEG信号之间存在高度相关性，并且我们的分析中浮现出性能方面的趋势。这些发现表明，EEG信号可用于评估UX。就所研究的菜单而言，我们的结果表明，具有不同结构和字体类型的图形菜单会在用户大脑响应中产生更多差异，而使用颜色的菜单则在用户大脑响应中产生更多相似性。本文概述了若干用于改善图形自适应菜单用户体验的洞见。