sensitivity

Terms from Statistics for HCI: Making Sense of Quantitative Data

Experiments, data analysis and visualisation may differ in their sensitivity, that is how easy it is for small differences to be apparent. For example, if you have histograms showing the heights of the 30 tallest mountains in the world, it may be hard to see the difference after the first few, as there are many that are close to 26,000 feet (7,000 m) tall. However, if you use a false baseline at 25,000 feet, the heights are very clearly different. In experimental design distractor tasks are also often useful as they expose mental load.

Used on pages 109, 127

Also known as manipulate sensitivity