美国佛罗里达大西洋大学Shihong Huang教授学术报告

来源:信息科学与技术学院  作者:杨燕  日期:2017-07-12  点击数:182
报告题目:Improving Human-in-the-Loop Adaptive Systems Using Brain-Computer Interaction

报告专家:黄世红教授(Florid Atlantic University

报告时间:2017713日(星期四)上午11:00

报告地点:九里校区镜湖宾馆若愚厅

主 持 人:杨燕教授

报告内容简介:

Although self-adaptive systems try to automate operation and reconfiguration, many such systems can benefit from human involvement in the adaptation process. For such “human-in-the-loop” adaptive systems, a critical challenge is to determine whether, when and how to include the human. In this research, we answer questions such as (1) what are human mental states, and (2) how to obtain the human mental model at run time. We identify neural activities related to the human mental state model and show how both human and computer can benefit from using such mental models to optimize autonomous and cooperative interaction. This research represents an important step forward in the evolution of software systems towards a co-adaptive era that involves symbiosis of human and computer solving cooperative tasks.

报告专家简介:

Shihong Huang is a Professor in the Department of Computer & Electrical Engineering and Computer Science (CEECS) at Florid Atlantic University (FAU). She received her M.Sc. and Ph.D. in Computer Science from University of California, Riverside. Her research is broadly in software engineering and specifically in self-adaptive systems, brain computer interaction (BCI), health informatics, and computer applications in clinical and therapeutic fields. Her work on nursing knowledge management was granted a U.S. Patent in 2014. She was the General Chair of the 24th ACM International Conference on Design of Communication (SIGDOC 2006), and is Program Co-Chair of the 9th IEEE International Symposium on Web Site Evolution (WSE 2007). She is a core contributor to the 2014 OMG standard “Essence—Kernel and Language for Software Engineering Methods.”

 

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