@article{article_842888, title={Review of the Use of Electroencephalography in User Experience Evaluation Research}, journal={Bilişim Teknolojileri Dergisi}, volume={15}, pages={83–95}, year={2022}, DOI={10.17671/gazibtd.842888}, author={Şahin, Elif Bilge and Çeliktaş, Cem and Onay Durdu, Pınar}, keywords={Kullanıcı Deneyimi, Kullanıcı Deneyimi Değerlendirmesi, EEG, Duygu, Dikkat}, abstract={Nowadays, there is a growing interest in User Experience (UX) evaluation in Human-Computer Interaction (HCI) field to evaluate information systems. Meanwhile, the application of neuroscientific measurement tools in user experience studies is constantly increasing. Within the scope of this study, a systematic mapping is conducted on the use of electroencephalography (EEG), one of the neuroscientific measurement tools, in UX evaluation studies published between 2010-2020. 89 studies are gathered from Web of Science (WoS) database, Science Direct (Elsevier), IEEE Xplore Library, ACM Digital Library, according to the scope of the study, are examined. The aim of this study is to reveal the trends and the use of EEG with the other UX evaluation methods in UX evaluation research. According to the results of the study, the types of data collected by EEG for UX evaluation are emotion and attention, data is generally collected as single episodic experience. In addition, the support vector machine is used for the classification and event-related potential is used for the feature extraction of the EEG data.}, number={1}, publisher={Gazi Üniversitesi}