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課號與課程名稱：ECON5170 [U] Mini-Course in Eye Movement analysis with Hidden Markov Models 微課程—眼動實驗經濟學專題 (1,0)
課程時間：2019.8.12-16, 2:00-5:00pm
地點：社科研 609
授課教師： 王道一老師與蕭惠文老師和陳萬師老師合開 （英語授課） Instructor: 蕭惠文老師Janet Hsiao ([email protected]) Associate Professor, Department of Psychology, University of Hong Kong Instructor: 陳萬師老師Antoni Chan ([email protected]) Associate Professor, Department of Computer, City University of Hong Kong *Office hour: After class or by email appointment
報名連結：https://forms.gle/D7VTcco3SUbwDke5A
備註： 1. 一學分微課程，開學前密集授課，開學後再行選課 2. 上課請自備筆電，並於課前安裝好MATLAB於筆電 3. Syllabus: http://homepage.ntu.edu.tw/~josephw/MiniCourse_EMHMM_syllabus_19F.pdf 4. Course Information: http://homepage.ntu.edu.tw/~josephw/MiniCourse_EyetrackingHMM_19F.htm 5. Register: https://forms.gle/D7VTcco3SUbwDke5A
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1. 8/12 (Mon) Introduction to EMHMM In the first half of the class, we will introduce current methods in eye movement data analysis to illustrate the advantages of the EMHMM method using face recognition research as an example. We will also briefly introduce EMHMM with co-clustering and Eye Movement analysis with Switching Hidden Markov Models (EMSHMM) so that students can choose to use them for their projects. In the second half of the class, we will provide an EMHMM Matlab Toolbox tutorial with sample data for students to practice using the toolbox on their own laptops.2. 8/13 (Tue) Using EMHMM in Experimental Research In the first half of the class, we will present an EMHMM simulation study and provide recommendations for using EMHMM in experimental research. In the second half of the class, students will be provided with a sample experiment file in Eyelink Experimental Builder and learn to develop their own mini experiment. 3. 8/14 (Wed) EMHMM with Co-Clustering and Hands-on Data Collection In the first half of the class, we will introduce EMHMM with co-clustering using a scene perception task as an example with a short tutorial. In the second half of the class, students will collect data for their mini-experiment for the project presentation on the last day. 4. 8/15 (Thu) EMSHMM and Hands-On Data Analysis In the first half of the class, we will introduce Eye Movement analysis with Switching Hidden Markov Models (EMSHMM) using a decision-making task as an example with a short tutorial. In the second half of the class, students will perform data analysis for their mini-experiment and prepare for the project presentation on the last day. 5. 8/16 (Fri) Project presentation
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聯絡人:王道一老師 |