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

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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. 10, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/72

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