Browsing by Author "Sadikzade, Riza"
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Conference Object Citation - WoS: 1Citation - Scopus: 4Decoding Olfactory EEG Signals Using Multi-Domain Features and Machine Learning(IEEE, 2024) Sude Pehlivan, Akbugday; Akbuğday, Burak; Yeganli, Faezeh; Akan, Aydin; Rıza Sadıkzade; Akbugday, Sude Pehlivan; Sadikzade, RizaAccurate detection of human emotion is an important topic for affective computing. Especially with the rise of artificial intelligence in the marketing industry, the tools available are subjective and often heavily dependent on sample sizes and demographics. This study explores the neural responses to olfactory stimuli by analyzing EEG data collected from 57 participants exposed to a perfume scent in correlation with self-reported survey results. The electroencephalogram (EEG) signals were processed to extract time-domain, spectral-domain, and nonlinear features, which were subsequently classified using various machine learning algorithms. The classification outcomes were mapped onto a two-dimensional pleasure-arousal plane, with the Medium Gaussian support vector machine (SVM) achieving the highest performance, including 99.8 % validation accuracy and 100 % test accuracy. These results highlight the significant potential of EEG-based approaches in decoding the neural underpinnings of sensory experiences, with implications for applications in neuromarketing and therapeutic contexts.Conference Object From Arousal to Acceptance: A Review of EDA/GSR and BVP Applications in Food Consumer Research(Institute of Electrical and Electronics Engineers Inc., 2025) Turhan, K. Nazan; Sadikzade, RizaConference Object Koku Uyaranın EEG Frontal Alfa Asimetriye Etkisi(IEEE, 2024) Sadikzade, Riza; Unal, SevtapThis research aims to examine the effect of scent on EEG alpha asymmetry. The study was conducted using an experimental design with the participation of 64 volunteers. The impact of scented and unscented products on consumers' alpha asymmetry was evaluated. The findings of the research showed that in the scented condition, the mid-frontal, lateral frontal, and anterior frontal alpha asymmetry values were significantly higher compared to the unscented condition.Conference Object Olfactory Emotion Recognition Using EEG Spectral Topographic Heatmaps and CNNs(Institute of Electrical and Electronics Engineers Inc., 2025) Yeganli, Faezeh; Sadikzade, Riza; Akan, AydinConference Object Citation - Scopus: 2A Review of Neuromarketing Applications in Gastronomy(IEEE, 2024) Sadikzade, Riza; Turhan, K. NazanThis review explores the burgeoning field of neuromarketing within the context of gastronomy, examining how neuroscience-based insights are revolutionizing the way food is perceived, marketed, and consumed. By analyzing key sensory elements such as flavor, aroma, texture, and visual presentation, neuromarketing provides a deeper understanding of how these factors influence consumer preferences and emotional responses. Techniques such as EEG, eye-tracking, and facial expression analysis offer valuable data on how sensory inputs interact with the brain's processing mechanisms, optimizing culinary experiences and restaurant environments. The review highlights the multifaceted applications of neuromarketing in gastronomy, from enhancing the aesthetic appeal of dishes to improving the overall ambiance of dining spaces. It also discusses the potential of neuromarketing to guide healthier eating habits and more sustainable food choices by aligning culinary offerings with consumers' subconscious preferences. Ultimately, the integration of neuromarketing into gastronomy not only enriches the sensory experience of dining but also offers innovative strategies for food design, presentation, and marketing, paving the way for a more consumer-centered approach in the food industry.
