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dc.contributor.advisorShuchih Changen_US
dc.contributor.authorLiu, Yen-Hongen_US
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dc.description.abstractWhile most users currently receive web services from web browser interfaces, pervasive computing is emerging and offering new ways of accessing Internet applications from any device at any location. As a result, there is a growing demand for technology that will allow users to be connected to the Internet from anywhere through devices that are not suitable for the use of traditional keyboard, mouse, and monitor. In this research, mobile phone was chosen as the pervasive device for accessing an Internet application prototype, a voice-enabled web system, through voice user interface technology. The impacts of the forthcoming pervasive computing technology on consumer attitudes, and the acceptance rate of consumers on new pervasive interface, were studied using technology acceptance theories. The study was undertaken in Taiwan, and the research findings may be referenced for the purpose of the design and development of successful business applications to catch the revolutionary opportunity and benefit of voice enabled web systems.en_US
dc.description.tableofcontents摘要 i ABSTRACT ii TABLE OF CONTENTS iii LIST OF FIGURES v LIST OF TABLES vi CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Motivation 2 1.3 Objectives 4 1.4 Organization of Thesis 5 1.5 Research Procedure 6 CHAPTER 2 LITERATURE REVIEW 7 2.1 Voice Application 7 2.1.1 Interactive voice response 7 2.1.2 Speech Recognition 8 2.1.3 Computer telephony integration 9 2.2 Pervasive Computing 9 2.3 Competing Theories 10 2.3.1 Technology Acceptance Model 11 2.3.2 Theory of Planned Behavior 13 2.3.3 Integrated model 15 CHAPTER 3 THE PROPOSED SYSTEM 17 3.1 System Architectures 17 3.2 Applications 18 CHAPTER 4 RESEARCH DESIGN 20 4.1 Research Model and Hypotheses 20 4.2 Measures and Pretests 23 4.3 Survey Respondents 24 4.4 Statistical Analysis 24 CHAPTER 5 DATA ANALYSIS 25 5.1 Data Collection 25 5.2 Characteristics of Respondents 25 5.3 Measurement Assessment 27 5.4 Measurement Model 30 5.5 Model Comparison 33 CHAPTER 6 CONCLUSION 37 6.1 Discussion 37 6.2 Implications 38 6.3 Future Work 39 6.4 Limitation 40 REFERENCE 41 APPENDIX: Formal Questionnaire 47 LIST OF FIGURES Figure 1: The usage of mobile Internet services 2 Figure 2: Trend analysis on the penetration rates of major telecom services 3 Figure 3: Research procedure 6 Figure 4: Implementation of speech recognition (SR) 8 Figure 5: Technology acceptance model 12 Figure 6: Theory of planned behavior 14 Figure 7: The integrated model 16 Figure 8: The system architecture of the proposed system 17 Figure 9: Research models 20 Figure 10: Measurement model 30 Figure 11: Results of TAM 34 Figure 12: Results of TPB 35 Figure 13: Results of integrated model 35 LIST OF TABLES Table 1 Summary of studies using model comparison approaches 11 Table 2 Previous TAM studies 13 Table 3 Previous TPB studies 15 Table 4 Research constructs and measurements 23 Table 5 Collected samples 25 Table 6 Descriptive profile of respondents 26 Table 7 User experiences of mobile phone and Internet 27 Table 8 Summary of measurement scales 28 Table 9 Goodness-of-fit of the measurement model 31 Table 10 Assessing the measurement model 32 Table 11 Inter-construct correlations as discriminant validity 33 Table 12 Overall fit and explanatory power of the models 34 Table 13 Strengths of individual factors 36zh_TW
dc.subjectPervasive computingen_US
dc.subjectConsumer attitudesen_US
dc.subjectTechnology acceptance theoryen_US
dc.subjectVoice recognitionen_US
dc.titleInvestigating users acceptance of voice channel to web accessen_US
dc.typeThesis and Dissertationzh_TW
item.openairetypeThesis and Dissertation-
item.fulltextno fulltext-
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