Vocalized pause

Vocalized pause

Term explanation

Definition and meaning

A vocalized pause is a filler sound — such as 'um', 'uh', 'er', or 'like' — used involuntarily by speakers when they pause to think or gather their thoughts. While occasional pauses are natural, frequent vocalized pauses can undermine a speaker's credibility, reduce clarity, and make a presentation feel less polished. Reducing vocalized pauses is a common goal in public speaking coaching, and is typically addressed through practice, conscious awareness, and the deliberate use of silent pauses instead.

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Other glossary terms

Computer Based Training (CBT)

Computer-based training (CBT) refers to self-paced educational programs delivered through software on a computer, without requiring an internet connection or live instructor. CBT packages typically include multimedia content, simulations, and assessments. This format was widely adopted in the 1990s and 2000s as an alternative to classroom training, offering consistency and repeatability. Today, CBT is largely succeeded by web-based training (WBT), though it remains in use where internet access is limited or security is a concern.

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Slide Sorter view

The Slide Sorter view in PowerPoint shows thumbnails of all your slides in horizontal rows.The view is useful for applying global changes to several slides at once. Also it's useful for deleting and rearranging slides.

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Screen presentation

A screen presentation refers to a presentation delivered entirely via a computer or device screen, without a physical projection setup. It is common in video calls, webinars, and remote meetings where the presenter shares their screen with participants. Screen presentations place greater emphasis on slide clarity, font size, and content structure, since the audience views content on varying screen sizes. They are increasingly the dominant format as remote and hybrid work has grown.

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AI Hallucination

AI hallucination describes the phenomenon where an LLM confidently produces content that is factually incorrect, fabricated, or entirely made up — presented as though it were true. Hallucinations occur because language models generate statistically probable text based on training patterns, without access to verified facts. In enterprise contexts, hallucinations in presentations are a serious risk. AI grounding — anchoring outputs to verified company data — is the primary strategy for preventing hallucinations in production AI systems.

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