Publication
Abstract
Artificial Intelligence (AI)-driven voice assistants, such as Amazon's Alexa and Google Assistant, have become essential components in modern smart home ecosystems, revolutionizing the way users interact with their environments. These voice assistants enable hands-free control over various home automation systems, offering unprecedented levels of convenience and enhancing daily productivity. By integrating with a wide range of smart devices—from lighting and temperature control to security systems and entertainment—AI-driven voice assistants simplify the management of daily routines, allowing users to perform tasks more efficiently with minimal effort.
This study aims to explore the influence of AI-driven voice assistants on user productivity and overall satisfaction within smart homes. Employing both quantitative data collection methods, such as usage statistics and automation completion rates, alongside qualitative insights gathered from user feedback, we conduct a comprehensive analysis of how voice-controlled smart home interactions affect daily activities. The research examines aspects such as task completion speed, automation accuracy, and the seamlessness of multi-device integrations, in addition to the subjective user experience, including perceived ease of use, convenience, and general satisfaction with the system.
Our findings suggest that AI-driven voice assistants offer considerable improvements in user productivity, reducing the time and effort required to complete tasks by streamlining processes and enabling multi-tasking. Additionally, users reported higher satisfaction levels due to the simplicity and efficiency introduced by these technologies. However, the study also highlights ongoing challenges, particularly regarding the assistants' limited ability to understand complex contextual information and the growing concerns over privacy and data security. Despite these issues, the positive impact of AI-driven voice assistants on smart home ecosystems is clear, with potential for further enhancements as the technology evolves.
Keywords
Human-Computer Interaction , AI-Driven Voice Assistants , Natural Language Processing , Voice Recognition Accuracy , Privacy and Data Security .
Metadata
Disciplines: Business and Management
Subjects: Smart Home Market
Cite This Article
APA Style
Cen, Z. & Zhao, Y. (2024). Investigating the impact of ai-driven voice assistants on user productivity and satisfaction in smart homes. Journal of Economic Theory and Business Management, 1(6), 8-14. https://doi.org/10.70393/6a6574626d.323333
Acknowledgments
The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.
FUNDING
INSTITUTIONAL REVIEW BOARD STATEMENT
DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
INFORMED CONSENT STATEMENT
CONFLICT OF INTEREST
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
AUTHOR CONTRIBUTIONS
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