System Feedback

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The algorithm may take a while to deliver a result. While this is happening, the user wants to know what is taking place.

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The user has submitted an image, sound clip, or video file for processing and wants to understand what effect the processing has had. 

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Users want to know how accurate results are when the system presents the results of a calculation.

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When a machine learning system is being trained through the user's repeated inputs, the user wants to know that this is the case.

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The user wants to compare what they originally inputted to the resulting output, in order to better understand how they can achieve the output they desire.

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When an algorithm processes the user’s bodily position in real time via pattern recognition, the user wants to understand what the system sees and how they can affect that.  

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When a system uses visual pattern recognition to assign data to an image or video, the user wants to understand how the system sees the world.

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The system can do a lot of interesting things, but the user doesn't want to be bombarded with learning about all of them all at once.

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When the algorithm relies on being trained by a particular user, that user wants to know how far they are through the training process. 

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Where machine learning content detection is used to flag and hide offensive comments left online, users want their comments treated fairly.