Multi-modal Interaction - Integration Techniques: Investigating integration techniques for multi-modal interaction, combining inputs from different modalities such as voice, touch, and gesture

Authors

  • Dr. Aisha Bashir Professor of Computer Science, University of Khartoum, Sudan Author

Keywords:

Multi-modal Interaction, User Context

Abstract

Multi-modal interaction (MMI) enables users to interact with computers using various input modalities, such as voice, touch, and gesture. This paper explores integration techniques for MMI, focusing on how different modalities can be combined to enhance user experience and interaction efficiency. We discuss key challenges, including modality fusion, synchronization, and user context recognition. Several integration strategies are reviewed, including parallel processing, sequential processing, and hierarchical processing. We also examine the impact of modalities on user engagement and task performance. This research provides insights into the design and implementation of effective multi-modal interaction systems.

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References

Sadhu, Ashok Kumar Reddy. "Enhancing Healthcare Data Security and User Convenience: An Exploration of Integrated Single Sign-On (SSO) and OAuth for Secure Patient Data Access within AWS GovCloud Environments." Hong Kong Journal of AI and Medicine 3.1 (2023): 100-116.

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.

Perumalsamy, Jegatheeswari, Manish Tomar, and Selvakumar Venkatasubbu. "Advanced Analytics in Actuarial Science: Leveraging Data for Innovative Product Development in Insurance." Journal of Science & Technology 4.3 (2023): 36-72.

Selvaraj, Amsa, Munivel Devan, and Kumaran Thirunavukkarasu. "AI-Driven Approaches for Test Data Generation in FinTech Applications: Enhancing Software Quality and Reliability." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 397-429.

Katari, Monish, Selvakumar Venkatasubbu, and Gowrisankar Krishnamoorthy. "Integration of Artificial Intelligence for Real-Time Fault Detection in Semiconductor Packaging." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 473-495.

Tatineni, Sumanth, and Naga Vikas Chakilam. "Integrating Artificial Intelligence with DevOps for Intelligent Infrastructure Management: Optimizing Resource Allocation and Performance in Cloud-Native Applications." Journal of Bioinformatics and Artificial Intelligence 4.1 (2024): 109-142.

Prakash, Sanjeev, et al. "Achieving regulatory compliance in cloud computing through ML." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).

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.

Makka, Arpan Khoresh Amit. “Integrating SAP Basis and Security: Enhancing Data Privacy and Communications Network Security”. Asian Journal of Multidisciplinary Research & Review, vol. 1, no. 2, Nov. 2020, pp. 131-69, https://ajmrr.org/journal/article/view/187.

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Published

08-02-2023

How to Cite

[1]
Dr. Aisha Bashir, “Multi-modal Interaction - Integration Techniques: Investigating integration techniques for multi-modal interaction, combining inputs from different modalities such as voice, touch, and gesture”, Distrib Learn Broad Appl Sci Res, vol. 10, pp. 119–128, Feb. 2023, Accessed: Nov. 21, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/72

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