Using an Ethnographic Approach to Collect Emotional Data in Affective Learning Research
Keywords:
Affective learning, data collection experiment, ethnography, contextual data.Abstract
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.
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
