نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
The integration of neuroscience and artificial intelligence has brought about a fundamental transformation in audience behavior analysis and media content optimization in the current era. In terms of objectives, this study examines the applications of artificial intelligence in processing neural data and enhancing personalized media content. Methodologically, the present research employs a synthesis research approach to analyze credible studies in the fields of neuromarketing, machine learning, and deep learning. Key findings indicate that AI algorithms possess the capability to effectively process neural data including EEG and fMRI. These technologies can extract cognitive and emotional patterns from audiences, enabling the identification of the most effective content segments and facilitating advertisement personalization. The study has successfully developed a systematic model for integrating these technologies. Consequently, the fusion of neuroscience and artificial intelligence provides deeper insights into audience behavior and proposes innovative solutions for producing effective content, although the implementation challenges and ethical considerations in this field require special attention.
کلیدواژهها English
