Gender perception and expression by autonomous anthropomorphic entities are necessary in many digitally based educational teaching and learning activities. It is natural for a participant to expect the presence or the absence of a specific gender during his or her interaction with an anthropomorphic device, computer, human–computer interface or artificial entity such as robots. This work-in-progress classifies different gender forms according to how the entity presents itself to human participants.
History
Editor
Teh GB; Choy SC
Parent Title
Empowering 21st Century Learners Through Holistic and Enterprising Learning: Selected Papers from Tunku Abdul Rahman University College International Conference 2016