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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62519
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computet science
S M joshi college hadapsar
Computet science
S M joshi college hadapsar
The increasing urbanization of modern cities necessitates innovative solutions to improve efficiency, safety, and sustainability. Autonomous robotics has emerged as a transformative technology that enhances urban mobility, waste management, healthcare, and public safety. This research explores the integration of autonomous robots into smart cities, highlighting their applications, challenges, and potential benefits. Through a detailed analysis, this paper examines the role of artificial intelligence (AI), machine learning, and sensor technologies in enabling autonomous systems. The study also addresses ethical concerns, cybersecurity risks, and policy considerations for deploying robotics in urban environments. Finally, recommendations are provided to guide future advancements and implementations of autonomous robotics in smart cities. Smart homes use technology to make daily tasks easier and more convenient. As more people startusing smart home devices, it’s important that these systems are easy for everyone to use, regardless of their tech skills. Human-Computer Interaction (HCI) plays a crucial role in making smart homes user- friendly. HCI looks at how people interact with technology, ensuring that users can control their devices easily, whether through voice commands, touchscreens, or gestures.
KEYWORDS
The research emphasizes how multimodal interfaces (MMUIs) in smart homes can improve the user experience by offering different ways to interact with technology, such as voice commands, touchscreens, and gestures. These systems are designed to make everyday tasks—like controlling lights, adjusting the temperature, or managing energy—more convenient and accessible for everyone, regardless of their tech skills or physical abilities. By allowing users to choose the interaction method that suits their needs at the moment, MMUIs can make smart homes more adaptable and user-friendly. However, implementing these systems comes with challenges. Issues like poor voice recognition in noisy environments or difficulties in gesture control due to lighting can affect the user experience. Additionally, privacy and security are significant concerns, as these systems often involve continuous data collection, which could lead to unauthorized access or data misuse. The research also highlights the importance of making these systems accessible to diverse groups, such as the elderly or people with disabilities, while ensuring they are cost-effective for widespread adoption. Ethical concerns, such as biases in voice recognition, also need to be addressed to ensure fairness and inclusivity. In summary, while multimodal interfaces can enhance the convenience and flexibility of smart homes, careful attention to security, privacy, usability, accessibility, and ethical considerations is essential for creating systems that are both effective and trustworthy
Müller, M. A., Koch, T., & Füllsack, M. (2021). Designing user-friendly multimodal interfaces for smart homes. Human-Computer Interaction, 36(4), 289–309. [DOILink:https://doi.org/10.1080/07370024.2021.188910] Shneiderman, B., Plaisant, C., & Cohen, M. (2016). Designing the user interface: Strategies for effective human-computer interaction. Pearson. - [Link: https://www.pearson.com/store/p/designing-the-user-interface/P100000290231] Yun, S., Kim, Y., & Kwon, Y. (2019). Voice recognition and gesture-based controls in smart home systems: Privacy and security challenges. International Journal of Human-Computer Studies, 130, 105–117. - [DOI Link:https://doi.org/10.1016/j.ijhcs.2019.05.002] Bergstrom, R., & Clark, M. (2020). The impact of multimodal interaction on everyday tasks in smart homes. In Proceedings of the 2020 ACM International Conference on Interactive Surfaces and Spaces (pp. 90–98). ACM. - [DOI Link: https://doi.org/10.1145/3385957.3387520]
Publication Date
5/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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