多媒体能够对情绪产生影响，而情绪与智力发挥息息相关。通过多媒体诱发情绪来探究情绪对智力发挥的影响，对移动传媒、教育教学等领域具有十分重要的意义。本文基于脑电信号探究多媒体诱发情绪对智力发挥的影响。为此，本文构建了新的情绪诱发视频数据集，设计了基于情绪视频的情绪与智力发挥脑电实验，并创新性地提出机器学习情绪识别方法对智力发挥阶段的真实情绪进行识别，从而探究情绪对智力发挥的影响。结果表明，积极情绪相对于中性情绪在被试的数学计算正确率上有积极影响，但在答题反应时上存在抑制作用，而消极情绪则相反。不同难度的数学计算中，积极情绪在解决中高等难度问题时表现更佳，而消极情绪在解决高难度问题时更有利于智力发挥。结果暗示，积极情绪和消极情绪在解决问题时，可能会针对不同的问题调用不同的影响策略，从而导致在不同难度问题上，情绪对智力发挥的影响也不同。

Multimedia can have an impact on emotions, and emotions are closely related to the intelligence performance. Using multimedia to induce emotions to explore the influence of emotions on the intelligence performance is of great significance to the fields of mobile media and education. This study explores the influence of multimedia-induced emotions on intelligence performance based on EEG. We constructed a new emotion-induced video data set, designed an EEG experiment based on emotion video to explore the influence of emotions on the intelligence performance, and innovatively proposed the use of machine learning emotion recognition methods to identify the true emotions at the stage of intelligence performance. The results show that, compared with neutral emotions, positive emotions have a positive effect on the accuracy of subjects’ mathematical calculations, but have an inhibitory effect on the response time, while negative emotions have the opposite effect. In mathematical calculations of different difficulties, positive emotions perform better when solving medium and high levels of difficulty, while negative emotions are more suitable for solving high level difficult problems. The results imply that positive emotions and negative emotions may use different strategies for different problems, which leads to different effects of emotions on intelligence performance when solving problems of different difficulty.