Interfaces that adapt like humans
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Authors
Alexander, Samuel T.V.
Sarrafzadeh, Hossein
Sarrafzadeh, Hossein
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2004
Supervisors
Type
Conference Contribution - Paper in Published Proceedings
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
affective computing
human-computer interaction
human-computer interaction
ANZSRC Field of Research Code (2020)
Citation
Alexander, S., & Sarrafzadeh, A. (2004, January). Interfaces that adapt like humans. In Computer Human Interaction (pp. 641-645). Springer Berlin Heidelberg.
Abstract
Whenever people talk to each other, non-verbal behaviour plays a very important role in regulating their interaction. However, almost all human-computer interactions take place using a keyboard or mouse – computers are completely oblivious to the non-verbal behaviour of their users. This paper outlines the plan for an interface that aims to adapt like a human to the non-verbal behaviour of users. An Intelligent Tutoring System (ITS) for counting and addition is being implemented in conjunction with the New Zealand Numeracy Project. The system’s interface will detect the student’s non-verbal behaviour using in-house image processing software, enabling it to adapt to the student’s non-verbal behaviour in similar ways to a human tutor. We have conducted a video study of how human tutors interpret the non-verbal behaviour of students, which has laid the foundation for this research.
Publisher
Springer
Permanent link
Link to ePress publication
DOI
0.1007/978-3-540-27795-8_70
Copyright holder
Springer
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