國立政治大學心理學系114-1學術研討會
講者:
講題:Cognitive, Emotional, and Metacognitive Tendencies of LLMs: Implications for Human–AI Interaction
演講大綱:
Large Language Models (LLMs) are rapidly becoming everyday collaborators in thinking, writing, and decision-making. Yet beyond their technical capabilities, they exhibit response tendencies that shape how humans interact with them. By examining cognitive, emotional, and metacognitive tendencies of LLMs, we can better understand both the promise and pitfalls of human–AI interaction. This talk will outline implications for trust, design, and governance in a world where AI agents increasingly shape how we think, feel, and decide.
講者簡介:
黃老師畢業於臺灣大學數學系學士,擁有臺大物理所碩士,並在波士頓大學認知與神經系統研究所取得博士學位,2024~2025年期間至史丹佛大學擔任訪問學者,目前任教於臺灣大學心理系。
研究專長興趣領域為心理及神經資訊科學、建構神經及認知系統的計算模型、學習和記憶、人類和機器的社會認知與社會互動(人工智慧/機器人)。黃老師也帶領模型建構與資訊學實驗室(M.I.Lab),參與各式跨領域研究,以資訊學技術與心理學的知識,透過網路行為資料, 資料探勘, 巨量資料分析, 模型建構技術為基底,探討自我與他人互動過程的社會認知議題。
講者網頁:
http://mil.psy.ntu.edu.tw/~tren/