3 accepted papers
Artificial intelligence is often touted as the ultimate automation technology capable of outperforming humans. It is also feared by some because of its potential to eliminate certain jobs. In this paper, we describe scenarios in which man-machine symbiosis, or properly designed combinations of man a…
We consider the problem of selecting and ordering a subset of N' out of N observations to be presented to a human being in the context of a binary hypothesis testing problem. We restrict our attention to i.i.d. Gaussian observations. We propose an extension of the approximate subset sum algorithm, a…
In this paper, we consider the problem of optimally ordering information to a human subject to maximize detection performance in a binary hypothesis testing problem. We begin by proposing a modification of the traditional Bayesian solution to hypothesis testing problems to incorporate the effect of…