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  • coherence  (1)
  • human-computer interaction (HCI)  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Artificial intelligence review 6 (1992), S. 333-364 
    ISSN: 1573-7462
    Keywords: natural-language processing ; natural-language discourse ; semantics ; intention ; coherence ; context ; OSCON
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract One of the most difficult problems within the field of Artificial Intelligence (AI) is that of processing language by computer, or natural-language processing. A major problem in natural-language processing is to build theories and models of how individual utterances cling together into a coherent discourse. The problem is important because, to properly understand natural language, a computer should have some sense of what it means for a discourse to be coherent and rational. Theories, models and implementations of natural-language processing argue for a measure of coherence based on three themes: meaning, structure, and intention. Most approaches stress one theme over all the others. Their future lies in the integration of components of all approaches. A theory of intention analysis solves, in part, the problem of natural-language dialogue processing. A central principle of the theory is that coherence of natural-language dialogue can be modelled by analysing sequences of intention. The theory of intention analysis has been incorporated within a computational model, called Operating System CONsultant (OSCON), implemented in Quintus Prolog, which understands, and answers in English, English questions about computer operating systems. Theories and implementations of discourse processing will not only enable people to communicate better with computers, but also enable computers to better communicate with people.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Artificial intelligence review 10 (1996), S. 275-298 
    ISSN: 1573-7462
    Keywords: anthropocentrism ; emotion ; face recognition ; human-centredness ; human-computer interaction (HCI) ; IDIOMS ; interfaces ; natural-language processing ; OSCON
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract One of the most important problems in human-computer interaction is that of maximising communication between the user and the computer. We claim that optimum communication will be facilitated when the computer can analyse and respond to the intentions of the computer user. We propose a philosophy for computer interface design in which the computer analyses the intentions of users through verbal and nonverbal media. With respect to verbal media we describe a computer program called Operating System CONsultant (OSCON) which can analyse users' intentions from English in the domain of computer operating systems. With respect to nonverbal media we argue that computers will be better able to analyse people's intentions when recognising the media of facial expression, touch, and sound. Some results and implications from a recent experiment on cross-cultural emotions in faces are discussed. We describe the IDIOMS (Intelligent Decision-making In On-line Management Systems) project which implements a design philosophy for capturing users' concepts and intentions. We argue that this approach will ensure the computers will become more understanding of their users and this will result in a more sensitive human-computer interface.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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