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Introduction

Natural language interfaces (NLIs) have become increasingly popular in recent years, providing users with a more intuitive and user-friendly way to interact with technology. However, these interfaces are often designed with high-literacy populations in mind, neglecting the needs of low-literacy populations who may struggle to read or write. This thesis aims to explore the optimization of NLIs for low-literacy populations, addressing the unique challenges and considerations that come with designing interfaces for this user group.

1.1 Introduction

1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter Two: Literature Review
2.1 Overview of NLIs
2.2 Importance of Accessibility in Technology
2.3 Challenges of Low-Literacy Populations
2.4 Design Considerations for Low-Literacy Interfaces
2.5 Case Studies of NLIs for Low-Literacy Populations
2.6 Evaluation Metrics for Low-Literacy Interfaces
2.7 Advancements in NLI Technology
2.8 Ethical Considerations in Designing for Low-Literacy Populations
2.9 Future Directions in NLI Optimization for Low-Literacy Populations
2.10 Summary of Literature Review

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Participant Recruitment
3.4 Data Analysis Procedures
3.5 Pilot Testing
3.6 Validity and Reliability
3.7 Ethical Considerations
3.8 Research Limitations

Chapter Four: Discussion of Findings
4.1 Participant Demographics
4.2 Usability Testing Results
4.3 User Feedback and Suggestions
4.4 Comparison with Existing NLIs
4.5 Design Recommendations for Low-Literacy Interfaces
4.6 Implications for NLI Development
4.7 Limitations of the Study
4.8 Future Research Directions

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Implications for Practice
5.3 Contributions to the Field
5.4 Limitations of the Study
5.5 Recommendations for Future Research
5.6 Conclusion

Thesis Overview: Natural language interfaces (NLIs) have the potential to revolutionize the way low-literacy populations interact with technology. However, the current interface designs often overlook the specific needs and challenges faced by this user group. This thesis aims to address this gap by exploring the optimization of NLIs for low-literacy populations. Through a comprehensive literature review, research methodology, and discussion of findings, this thesis will provide valuable insights and recommendations for designing more inclusive and accessible NLIs for individuals with low literacy skills. By bridging the gap between technology and literacy levels, this research has the potential to make a meaningful impact on the lives of low-literacy populations, empowering them to fully engage with and benefit from technological advancements.

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