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Title: The human factors of automatic speech recognition in control room systems
Author: Baber, Christopher
ISNI:       0000 0001 2409 4150
Awarding Body: Aston University
Current Institution: Aston University
Date of Award: 1990
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This thesis addresses the viability of automatic speech recognition for control room systems; with careful system design, automatic speech recognition (ASR) devices can be useful means for human computer interaction in specific types of task. These tasks can be defined as complex verbal activities, such as command and control, and can be paired with spatial tasks, such as monitoring, without detriment. It is suggested that ASR use be confined to routine plant operation, as opposed the critical incidents, due to possible problems of stress on the operators' speech. Some solutions to the problems of stress are given. From a series of studies, it is concluded that the interaction be designed to capitalise upon the tendency of operators to use short, succinct, and task specific styles of speech. From studies comparing different types of feedback, it is concluded that operators be given screen based feedback rather than auditory feedback. Feedback will take two forms: the use of the ASR device will require recognition feedback, which will be best supplied using text; the performance of a process control task will require feedback integrated into the mimic display. This latter feedback can be either textual or symbolic, but it is suggested that symbolic feedback will be more beneficial. Related to both interaction style and feedback is the issue of handling recognition errors. These should be corrected by simple command repetition practices, rather than use error handling dialogues. This thesis also addresses some of the problems of user error in ASR use, and provides a number of recommendations for its reduction. Before using the ASR device, new operators will require some form of training. It is shown that a demonstration by an experienced user of the device can lead to superior performance than instructions. Thus a relatively cheap and very efficient form of operator training can be supplied by demonstration by experienced ASR operators
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Phd
EThOS ID:  DOI: Not available
Keywords: Business and Administrative studies Pattern recognition systems Pattern perception Image processing Automatic control Control theory Human engineering