CAREER: Bridging Cognitive Science and Sensor Technology: Non-intrusive and Multi-modality Sensing in Human-Machine Interactions

该学院早期职业发展(CALEAR)奖的目标是一项综合研究和教育计划，重点是研究人机系统的非侵入式生物传感范例和多模式认知推理方法。正在研究的范式的变革性本质是在机器表面建立微型传感元件，以便在人机交互过程中通过自然接触实时非侵入性地获取人体生理信号。这种新的推理方法受到人类生物学习行为的启发，旨在根据包括生理信号在内的个性化和多通道线索以及各种线索-状态关系机制的整合来推断人类的认知状态。将建立交通和医学两个试验台，以验证理论工作。该项目将把研究成果转化为各种不同的受训者的教育课程，包括研究生、本科生和K-12学生。少数群体和代表性不足的群体将被招募到这一跨学科领域。该计划将通过与政府机构、行业和国际合作者的密切互动来吸引和培训普通公众。预计该项目将在将传感器技术应用于人类认知系统建模方面取得突破性成果，并对全球公共安全和人类健康产生巨大影响。

The objectives of this Faculty Early Career Development (CAREER) award are an integrated research and education plan focused on investigation of a non-intrusive biosensing paradigm and multi-modality cognitive inference approach for human-machine systems. The transformative nature of the paradigm under investigation is to build miniature sensing elements on machine surfaces, so that human physiological signals can be acquired non-intrusively in real-time through natural contacts during human-machine interactions. The new inference approach is inspired by human biological learning behaviors and aims to infer human cognitive states based upon individualized and multi-modality cues, including physiological signals, along with integration of various cue-state relation mechanisms. Two test-beds in transportation and medicine will be established to validate the theoretical work. This project will transfer research outcomes into education curricula for a wide variety of trainees, including graduate, undergraduate, and K-12 students. Minorities and underrepresented groups will be recruited into this interdisciplinary field. This program will engage and train the general public through close interactions with government agencies, industries, and international collaborators. It is anticipated that the program will produce groundbreaking results in applying sensor technology to human cognitive system modeling, and have huge impacts on public safety and human health worldwide.