【IAA Seminar 2023.12.14｜鍾子平老師 最大化觀眾參與度：來自大腦生物標記的洞見】
Maximizing Viewer Engagement: Insights from Brain Biomarkers

｜時間：2023.12.14 (四) 10:00-12:00
｜地點：HC105演講廳，陽明交大 光復校區人社三館1F

Efficiently designing multimedia content to maximize viewer engagement and influence is a pivotal research pursuit in applied art, digital art, human factors, and affective computing. This study first examines brain/body biomarkers associated with the human experience across visual, auditory, and textural presentations.
We aim to discern the brain’s responses to diverse stimuli, seeking to craft more impactful multimedia content that establishes a profound connection with viewers. The subsequent focus involves the development of a real-time brain-computer interface capable of detecting and responding to the viewer’s emotional state, facilitating a personalized and engaging experience. This presentation will also highlight a pilot study that uses electroencephalogram (EEG), eye-gaze tracking, and large language models to examine neural states during a reading comprehension task.
This research aims to reshape the landscape of multimedia content design and consumption by providing insights that can lead to revolutions in the field.

講座僅有現場！歡迎非本所校內外人士旁聽

講者介紹
♦鍾子平 教授
Dr. Tzyy-Ping Jung

♦學經歷
教授 加州大學聖地牙哥分校（UCSD）神經運算所 Co-Director／斯沃茨神經運算中心 Associate Director
陽明交大、清大、成大玉山學者
University of California San Diego, National Yang Ming Chiao Tung University, National Tsing Hua University, and National Cheng Kung University

♦簡介
Dr. Tzyy-Ping Jung is the Co-Director of the Center for Advanced Neurological Engineering and holds the position of Associate Director at the Swartz Center for Computational Neuroscience at the University of California, San Diego, CA, USA. Additionally, he has an adjunct professorship at various universities in Taiwan and China. His research is centered on integrating diverse fields such as cognitive science, computer science and engineering, neuroscience, bioengineering, and electrical engineering.
Renowned for his substantial contributions to blind source separation techniques in biomedical applications, Dr. Jung holds the prestigious titles of IEEE Fellow and Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). Jung’s work is interdisciplinary and well-cited by peers (>42,000 total citations and h-index = 88, according to Google Scholar).