In this work, we consider a binary hypothesis testing problem involving a group of human decision-makers. Due to the nature of human behavior, each human decision-maker observes the phenomenon of interest sequentially up to a random length of time. The humans use a belief model to accumulate the log-likelihood ratios until they cease observing the phenomenon. The belief model is used to characterize the perception of the human decision-maker towards observations at different instants of time, i.e., some decision-makers may assign greater importance to observations that were observed earlier, rather than later and vice-versa. The global decision-maker is a machine that fuses human decisions using the Chair-Varshney rule with different weights for the human decisions, where the weights are determined by the number of observations that were used by the humans to arrive at their respective decisions.

翻译：在这项工作中,我们考虑的是涉及一组人类决策者的二元假设测试问题。由于人类行为的性质,每个人类决策者都按顺序观察兴趣现象,直到随机的时间长度。人类使用一种信仰模型来积累日志可能性比率,直到他们不再观察该现象为止。信仰模型用来描述人类决策者对不同时间时刻的观察的看法,即一些决策者可能更加重视早期而不是较晚和反之亦然的观察。全球决策者是一种机器,它利用主席-瓦什尼规则将人类决定结合起来,对人的决定给予不同的权重,其权重根据人类用来作出各自决定的观察次数来决定。