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Another example is Prezi. Often likened to Microsoft PowerPoint, Prezi is a cloud-based presentation application that allows users to create text, embed video, and make visually aesthetic projects. Prezi's presentations zoom the eye in, out, up and down to create a multi-dimensional appeal.
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 ]
The most common such interface combines a visual modality (e.g. a display, keyboard, and mouse) with a voice modality (speech recognition for input, speech synthesis and recorded audio for output). However other modalities, such as pen-based input or haptic input/output may be used. Multimodal user interfaces are a research area in human ...
In his book The Humane Interface, Jef Raskin defines modality as follows: "An human-machine interface is modal with respect to a given gesture when (1) the current state of the interface is not the user's locus of attention and (2) the interface will execute one among several different responses to the gesture, depending on the system's current state."
A modal window creates a mode that disables user interaction with the main window but keeps it visible, with the modal window as a child window in front of it. Users must interact with the modal window before they can return to the parent window. This avoids interrupting the workflow on the main window.
The MMI Architecture recommendation distinguishes three types of components: the Interaction Manager – IM, the Data Component – DC and the Modality Components – MC. This distinction is similar to the separation between the Controller , the Model and the presentation documents of the View in the MVC pattern.
In recent applications, digital learning platforms have leveraged multimedia instructional design principles to facilitate effective online learning. A prime example includes e-learning platforms that offer users a balanced combination of visual and textual content, segmenting information and enabling user-paced learning.
Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [1] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [2]
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