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    Interfaces that adapt like humans

    Alexander, Samuel T.V.; Sarrafzadeh, Hossein

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    Interfaces that Adapt Like Humans-1.pdf (685.2Kb)
    Date
    2004
    Citation:
    Alexander, S., & Sarrafzadeh, A. (2004, January). Interfaces that adapt like humans. In Computer Human Interaction (pp. 641-645). Springer Berlin Heidelberg.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/2380
    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.
    Keywords:
    affective computing, human computer interaction
    ANZSRC Field of Research:
    080199 Artificial Intelligence and Image Processing not elsewhere classified, 120304 Digital and Interaction Design
    Copyright Holder:
    Springer

    Copyright Notice:
    All rights reserved
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    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use. These documents or images may be used for research or private study purposes. Whether they can be used for any other purpose depends upon the Copyright Notice above. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Conference Papers [150]

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