Challenges in designing a brain-machine search interface

Author:

Liu Yiqun1,Mao Jiaxin2,Xie Xiaohui1,Zhang Min1,Ma Shaoping1

Affiliation:

1. Tsinghua University

2. Renmin University of China

Abstract

While search engines have reshaped how human beings learn and think, the interaction paradigm of search has remained relatively stable for decades. With the development of neural science and biomedical engineering, it is possible to build a direct communication pathway between a computing device and the human brain via Brain-machine Interfaces (BMIs), which may revolutionize the search paradigm in a predictable future. Therefore, in this paper, we extensively discuss the possibility, benefits, and potential challenges in using BMI as a new interface for search, and call for more research efforts in this promising direction.

Funder

Natural Science Foundation of China

Beijing Academy of Artificial Intelligence

Tsinghua University Guoqiang Research Institute

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Management Information Systems

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparing point‐wise and pair‐wise relevance judgment with brain signals;Journal of the Association for Information Science and Technology;2024-06-18

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