초록 열기/닫기 버튼
This comprehensive study delves into the current landscape of Voice Recognition Technologies (VRT), focusing on trends, implementation practices, and the challenges faced by users. Google Assistant, Amazon’s Alexa, and Apple’s Siri serve as pivotal subjects, providing a foundational basis for examination. The research commences with an extensive literature review, meticulously filtering and streamlining relevant literature on the subject. Employing a qualitative approach, the study conducts open-ended interviews, posing ten main questions directly linked to the central theme. The qualitative analysis is complemented by academic evidence in the final chapters, ensuring a robust foundation for the study's outcomes. The findings underscore the significant technological strides made by voice recognition; however, challenges persist, including hands-free connectivity, privacy and security concerns, and the issue of voice imprinting. These challenges, identified through user experiences and theoretical insights, illuminate the path for future research and development, guiding the evolution of VRT towards a more seamless, secure, and user-friendly future. This research not only contributes to academic knowledge but also holds practical implications for technology experts, policymakers, and businesses, paving the way for informed decision-making and innovation in the dynamic field of voice recognition.
