Ward Robert, Shingler Polly
Wolfson Centre for Clinical and Cognitive Neuroscience, School of Psychology, Bangor University, UK.
Br J Psychol. 2016 Feb;107(1):30-2. doi: 10.1111/bjop.12167.
Wu, Sheppard, and Mitchell (Br. J. Psychol., 2016; 107, 1-22) found that observers could accurately identify people with extreme but not more average empathy scores. Here, we further consider this U-shaped discrimination function. We first examine a statistical issue regarding the construction of the average groups, which are less homogenous by definition than the extreme groups. We then consider the kinds of questions arising when these results are considered within the adaptive framework of signal theory. Some interesting questions arise relating to the signal sender, including the costs and benefits to the sender in revealing and concealing true empathy levels, and the effects of adopting behavioural norms to conceal true levels of empathy.
吴、谢泼德和米切尔(《英国心理学杂志》,2016年;107卷,第1 - 22页)发现,观察者能够准确识别出共情分数极高而非较为普通的人。在此,我们进一步探讨这种U型辨别函数。我们首先研究一个关于构建平均组的统计问题,从定义上来说,平均组比极端组的同质性更低。然后我们思考在信号理论的适应性框架内考虑这些结果时会出现的各类问题。出现了一些与信号发送者相关的有趣问题,包括发送者在揭示和隐藏真实共情水平时的成本与收益,以及采用行为规范来隐藏真实共情水平的影响。