k_Kahneman

The basic “ticker” is binary — Each observation is classified as either Unpleasant or Pleasant. This determination is fairly reliable in hindsight.

At each timing, the subject chooses a few positive/negative adjectives (probably MCQ) to describe her mood over the current episode (i.e. since the previous observation). She then assigns an intensity to each adjective. The episode is classified as Unpleasant if any (single) negative adjective has higher intensity than every positive adjective.

In other words, a good (or normal) mood is the absence of unhappiness, or a mostly-positive mood. (What if there is one minor negative feeling and no positive feeling? I guess that would be rare, because most of the time people are at peace with something/someone that they are spending time with. )

U index for a given day is defined as 25% if 25% of the waking hours are unpleasant.

Refreshing and powerful in its simplicity. Useful in identifying bad moods and depressions. Powerful in trend identification.

— xpSelf .. the U-index is mostly about xpSelf, not rmSelf
— hedonimeter .. is a related measurement