Using an Ethnographic Approach to Collect Emotional Data in Affective Learning Research
Affective computing is an interdisciplinary research field that has made plentiful and substantial achievements in this decade. In previous Artificial Intelligence research, computers are expected to be endowed with intelligence analogous to human intelligence. In affective computing, computers are expected to be endowed with Emotional Intelligence, which means that the computer can recognize and interpret the emotional states of humans and adapt its behavior to give an appropriate response to those emotions. This paper describes the design of an experiment that is used to collect the emotional data for a cognition & emotion support e-learning project. The goal of this experiment is to explore the interrelationship between the teacher and the student from both emotional and cognitive aspects in a teaching situation, and then construct the interaction models of the emotional and cognitive levels. These models will be integrated in an affective learning system which supports the learner both from cognitive and emotional aspects. The paper addresses issues in experimental design including ethnography, ethical and practical problems related to this form of experimental work.
affective learning data collection experiment ethnography contextual data
Xiaomei Tao Qinzhou Niu Mike Jackson Bin Hu
Faculty of Information Science and Engineering, I. Guilin University of Technology Guilin, P.R. Chin Faculty of Information Science and Engineering, I. Guilin University of Technology Guilin, P.R. Chin Business School, TEE, Birmingham City University Birmingham, UK
国际会议
成都
英文
1352-1356
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）