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A multimodal interface provides several distinct tools for input and output of data. Multimodal human-computer interaction involves natural communication with virtual and physical environments. It facilitates free and natural communication between users and automated systems, allowing flexible input (speech, handwriting, gestures) and output ...
The Multimodal Architecture and Interfaces specification is based on the MVC design pattern, that proposes to organize the user interface structure in three parts: the Model, the View and the Controller. [3] This design pattern is also shown by the Data-Flow-Presentation architecture from the Voice Browser Working Group. [4]
For example, in digital components of lessons, there are often pictures, videos, and sound bites as well as the text to help students grasp a better understanding of the subject. Multimodality also requires that teachers move beyond teaching with just text, as the printed word is only one of many modes students must learn and use.
In software engineering, the adapter pattern is a software design pattern (also known as wrapper, an alternative naming shared with the decorator pattern) that allows the interface of an existing class to be used as another interface. [1]
The term "fluent interface" was coined in late 2005, though this overall style of interface dates to the invention of method cascading in Smalltalk in the 1970s, and numerous examples in the 1980s. A common example is the iostream library in C++ , which uses the << or >> operators for the message passing, sending multiple data to the same ...
In the context of human–computer interaction, a modality is the classification of a single independent channel of input/output between a computer and a human. Such channels may differ based on sensory nature (e.g., visual vs. auditory), [1] or other significant differences in processing (e.g., text vs. image). [2]
Perhaps the first substantive example of a two-modal logic is Arthur Prior's tense logic, with two modalities, F and P, corresponding to "sometime in the future" and "sometime in the past". A logic [1] with infinitely many modalities is dynamic logic, introduced by Vaughan Pratt in 1976 and having a separate modal operator for every regular ...
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...