Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

Tangible User Interfaces - Design and Applications: Exploring design principles and applications of tangible user interfaces (TUIs) for enhancing user engagement and interaction with digital content

PDF
  • Dr. Daniela Ramos
Dr. Daniela Ramos
Associate Professor of Computer Science, University of São Paulo, Brazil
Cover

Published 09-08-2023

Keywords

  • Tangible User Interfaces,
  • TUIs
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Daniela Ramos, “Tangible User Interfaces - Design and Applications: Exploring design principles and applications of tangible user interfaces (TUIs) for enhancing user engagement and interaction with digital content”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 187–196, Aug. 2023, Accessed: Nov. 22, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/120

Abstract

Tangible User Interfaces (TUIs) represent a unique approach to human-computer interaction, bridging the physical and digital worlds. This paper explores the design principles and applications of TUIs, highlighting their potential to enhance user engagement and interaction with digital content. We delve into the underlying concepts of TUIs, discuss key design considerations, and showcase a range of innovative applications across various domains. By examining the benefits and challenges of TUIs, we aim to provide insights into how this technology can be leveraged to create more intuitive and immersive user experiences.

PDF

Downloads

Download data is not yet available.

References

  1. Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.
  2. Tillu, Ravish, Muthukrishnan Muthusubramanian, and Vathsala Periyasamy. "Transforming regulatory reporting with AI/ML: strategies for compliance and efficiency." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 145-157.
  3. K. Joel Prabhod, “ASSESSING THE ROLE OF MACHINE LEARNING AND COMPUTER VISION IN IMAGE PROCESSING,” International Journal of Innovative Research in Technology, vol. 8, no. 3, pp. 195–199, Aug. 2021, [Online]. Available: https://ijirt.org/Article?manuscript=152346
  4. Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
  5. Perumalsamy, Jegatheeswari, Chandrashekar Althati, and Muthukrishnan Muthusubramanian. "Leveraging AI for Mortality Risk Prediction in Life Insurance: Techniques, Models, and Real-World Applications." Journal of Artificial Intelligence Research 3.1 (2023): 38-70.
  6. Venkatasubbu, Selvakumar, Subhan Baba Mohammed, and Monish Katari. "AI-Driven Storage Optimization in Embedded Systems: Techniques, Models, and Real-World Applications." Journal of Science & Technology 4.2 (2023): 25-64.
  7. Devan, Munivel, Lavanya Shanmugam, and Chandrashekar Althati. "Overcoming Data Migration Challenges to Cloud Using AI and Machine Learning: Techniques, Tools, and Best Practices." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 1-39.
  8. Mohammed, Subhan Baba, Bhavani Krothapalli, and Chandrashekar Althat. "Advanced Techniques for Storage Optimization in Resource-Constrained Systems Using AI and Machine Learning." Journal of Science & Technology 4.1 (2023): 89-125.
  9. Krothapalli, Bhavani, Lavanya Shanmugam, and Subhan Baba Mohammed. "Machine Learning Algorithms for Efficient Storage Management in Resource-Limited Systems: Techniques and Applications." Journal of Artificial Intelligence Research and Applications 3.1 (2023): 406-442.
  10. Althati, Chandrashekar, Bhavani Krothapalli, and Bhargav Kumar Konidena. "Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 38-79.
  11. Pakalapati, Naveen, Bhargav Kumar Konidena, and Ikram Ahamed Mohamed. "Unlocking the Power of AI/ML in DevSecOps: Strategies and Best Practices." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 176-188.
  12. Katari, Monish, Musarath Jahan Karamthulla, and Munivel Devan. "Enhancing Data Security in Autonomous Vehicle Communication Networks." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 496-521.
  13. Krishnamoorthy, Gowrisankar, and Sai Mani Krishna Sistla. "Exploring Machine Learning Intrusion Detection: Addressing Security and Privacy Challenges in IoT-A Comprehensive Review." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 114-125.
  14. Reddy, Sai Ganesh, et al. "Harnessing the Power of Generative Artificial Intelligence for Dynamic Content Personalization in Customer Relationship Management Systems: A Data-Driven Framework for Optimizing Customer Engagement and Experience." Journal of AI-Assisted Scientific Discovery 3.2 (2023): 379-395.
  15. Prabhod, Kummaragunta Joel. "Advanced Machine Learning Techniques for Predictive Maintenance in Industrial IoT: Integrating Generative AI and Deep Learning for Real-Time Monitoring." Journal of AI-Assisted Scientific Discovery 1.1 (2021): 1-29.
  16. Tembhekar, Prachi, Lavanya Shanmugam, and Munivel Devan. "Implementing Serverless Architecture: Discuss the practical aspects and challenges." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 560-580.
  17. Devan, Munivel, Kumaran Thirunavukkarasu, and Lavanya Shanmugam. "Algorithmic Trading Strategies: Real-Time Data Analytics with Machine Learning." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 522-546.
  18. Tatineni, Sumanth, and Karthik Allam. "Implementing AI-Enhanced Continuous Testing in DevOps Pipelines: Strategies for Automated Test Generation, Execution, and Analysis." Blockchain Technology and Distributed Systems 2.1 (2022): 46-81.
  19. Sadhu, Ashok Kumar Reddy, and Amith Kumar Reddy. "A Comparative Analysis of Lightweight Cryptographic Protocols for Enhanced Communication Security in Resource-Constrained Internet of Things (IoT) Environments." African Journal of Artificial Intelligence and Sustainable Development 2.2 (2022): 121-142.
  20. Pelluru, Karthik. "Unveiling the Power of IT DataOps: Transforming Businesses across Industries." Innovative Computer Sciences Journal 8.1 (2022): 1-10.
  21. Makka, A. K. A. “Administering SAP S/4 HANA in Advanced Cloud Services: Ensuring High Performance and Data Security”. Cybersecurity and Network Defense Research, vol. 2, no. 1, May 2022, pp. 23-56, https://thesciencebrigade.com/cndr/article/view/285.

Similar Articles

You may also start an advanced similarity search for this article.