← Notes Toward a Theory of Attention

Chapter 2 · 3

A Simple Model

1 min read

Let AA be the total attention available in some interval — a morning, say — and suppose it is divided among nn tasks, with aia_i the share given to task ii. The conservation claim from the previous chapter is just the constraint in Equation 1: the shares sum to the whole, no more and no less.

i=1nai=A\sum_{i=1}^{n} a_i = A(1)

So far this is only bookkeeping. The content arrives when we ask what each share buys. A reasonable first guess is that the value returned by a task has diminishing returns in the attention spent on it — the tenth minute on a problem is worth less than the first. Write the return on task ii as in Equation 2, with viv_i a task-specific weight and the square root standing in for "diminishing":

ri=viair_i = v_i \sqrt{a_i}(2)

Maximising total return iri\sum_i r_i subject to the budget in Equation 1 gives a tidy result: attention should be spread so that the marginal return is equal across tasks. Pour everything into one task and you leave easy gains on the table elsewhere; spread it too thin and nothing clears the threshold of usefulness. The optimum is neither monomania nor scatter — a conclusion we will lean on in the final chapter.

References