  -Much work has been devoted to the computational complexity of games.
However, they are not necessarily relevant for estimating the complexity in
human terms. Therefore, human-centered measures have been proposed, e.g. the
depth. This paper discusses the depth of various games, extends it to a
continuous measure. We provide new depth results and present tool
(given-first-move, pie rule, size extension) for increasing it. We also use
these measures for analyzing games and opening moves in Y, NoGo, Killall Go,
and the effect of pie rules.
