Mapping illocutionary speech in human interaction to human-machine interaction
With the current development of automated technology, it is becoming more important to facilitate interaction between humans and machines. Human-computer interaction can be discussed and analysed from different points of view, for example psychology, cognitive science, or communication. This project...
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2011
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sg-ntu-dr.10356-465312023-03-04T18:49:04Z Mapping illocutionary speech in human interaction to human-machine interaction Audelia Gumarus Dharmawan Lee Sian Guan, Stephen School of Mechanical and Aerospace Engineering Peer Mohideen Sathikh DRNTU::Engineering::Industrial engineering::Man-machine systems With the current development of automated technology, it is becoming more important to facilitate interaction between humans and machines. Human-computer interaction can be discussed and analysed from different points of view, for example psychology, cognitive science, or communication. This project studied and analysed two influential human-to-human communication theories, Speech Acts Theory and Theory of Communicative Action, and adapted them to create ideal guidelines for human-to-machine interaction, especially for the case of interactive machines. The guidelines called Framework version 1.0 were then used to analyse four existing interactive machines of different functions to see how the machines score against the guidelines. Framework version 1.0 was used to design an improved ATM flow. The improved ATM flow was then validated through tests. The outcome of the tests revealed that only two points in the framework need to be revised. The first one is that the usage of common indirect speech acts is permitted while the second one advises the usage of familiar and common directives on top of unambiguous directives. An improved framework called Framework 1.1 was thus introduced. The results of the validation tests showed that the framework is effective for human-to-machine interaction. At the end of the report, future work was proposed to further enhance the framework. The Framework version 1.1 can be tested on other interactive machines of different functions from those of an ATM. Bachelor of Engineering (Mechanical Engineering) 2011-12-13T08:11:03Z 2011-12-13T08:11:03Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46531 en Nanyang Technological University 107 p. application/pdf |
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DRNTU::Engineering::Industrial engineering::Man-machine systems Audelia Gumarus Dharmawan Mapping illocutionary speech in human interaction to human-machine interaction |
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With the current development of automated technology, it is becoming more important to facilitate interaction between humans and machines. Human-computer interaction can be discussed and analysed from different points of view, for example psychology, cognitive science, or communication. This project studied and analysed two influential human-to-human communication theories, Speech Acts Theory and Theory of Communicative Action, and adapted them to create ideal guidelines for human-to-machine interaction, especially for the case of interactive machines. The guidelines called Framework version 1.0 were then used to analyse four existing interactive machines of different functions to see how the machines score against the guidelines.
Framework version 1.0 was used to design an improved ATM flow. The improved ATM flow was then validated through tests. The outcome of the tests revealed that only two points in the framework need to be revised. The first one is that the usage of common indirect speech acts is permitted while the second one advises the usage of familiar and common directives on top of unambiguous directives. An improved framework called Framework 1.1 was thus introduced. The results of the validation tests showed that the framework is effective for human-to-machine interaction.
At the end of the report, future work was proposed to further enhance the framework. The Framework version 1.1 can be tested on other interactive machines of different functions from those of an ATM. |
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Lee Sian Guan, Stephen |
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Lee Sian Guan, Stephen Audelia Gumarus Dharmawan |
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Final Year Project |
author |
Audelia Gumarus Dharmawan |
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Audelia Gumarus Dharmawan |
title |
Mapping illocutionary speech in human interaction to human-machine interaction |
title_short |
Mapping illocutionary speech in human interaction to human-machine interaction |
title_full |
Mapping illocutionary speech in human interaction to human-machine interaction |
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Mapping illocutionary speech in human interaction to human-machine interaction |
title_full_unstemmed |
Mapping illocutionary speech in human interaction to human-machine interaction |
title_sort |
mapping illocutionary speech in human interaction to human-machine interaction |
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2011 |
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http://hdl.handle.net/10356/46531 |
_version_ |
1759857666218262528 |