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