While search technologies have evolved to be robust and ubiquitous, the fundamental interaction paradigm has remained relatively stable for decades. With the maturity of the Brain-Machine Interface, we build an efficient and effective communication system between human beings and search engines based on electroencephalogram(EEG) signals, called Brain-Machine Search Interface(BMSI) system. The BMSI system provides functions including query reformulation and search result interaction. In our system, users can perform search tasks without having to use the mouse and keyboard. Therefore, it is useful for application scenarios in which hand-based interactions are infeasible, e.g, for users with severe neuromuscular disorders. Besides, based on brain signals decoding, our system can provide abundant and valuable user-side context information(e.g., real-time satisfaction feedback, extensive context information, and a clearer description of information needs) to the search engine, which is hard to capture in the previous paradigm. In our implementation, the system can decode user satisfaction from brain signals in real-time during the interaction process and re-rank the search results list based on user satisfaction feedback. The demo video is available at http://www.thuir.cn/group/YQLiu/datasets/BMSISystem.mp4.

翻译：虽然搜索技术已经演变为稳健和无处不在,但基本的互动模式几十年来一直相对稳定。随着脑-海洋界面的成熟,我们在人与基于电子脑图信号(称为脑-海洋搜索界面(BMSI)系统)的搜索引擎之间建立了高效和有效的通信系统。BMSI系统提供功能,包括查询重新拟订和搜索结果互动。在我们的系统中,用户可以在不必使用鼠标和键盘的情况下执行搜索任务。因此,它对于无法进行手基互动的应用情景是有用的,例如,对于患有严重神经肌肉障碍的用户来说。此外,根据大脑信号解码,我们的系统可以向搜索引擎提供丰富和宝贵的用户方背景信息(例如实时满意度反馈、广泛的背景信息,以及更清楚地描述信息需求),而搜索引擎在前一种模式中很难捕捉到。在我们的实施中,该系统可以解码用户在互动过程中对实时脑信号的满意度,并根据用户满意度调整搜索结果列表,例如,基于用户满意度反馈的大脑信号,我们系统可以使用。 演示/Ldata 的图像在用户满意度/MIS/MISA上提供。