论文标题

人类判断中的离散,经常性和可扩展模式是情感图片评分的基础

Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings

论文作者

Azcona, Emanuel A., Kim, Byoung-Woo, Vike, Nicole L., Bari, Sumra, Lalvani, Shamal, Stefanopoulos, Leandros, Woodward, Sean, Block, Martin, Katsaggelos, Aggelos K., Breiter, Hans C.

论文摘要

每个动作都有结果的操作钥匙任务已被类似于“想要”的构造,并在人类中产生合法的关系,以量化对方法和回避行为的偏好。尚不清楚没有操作框架的评级任务是否可以类似于“喜欢”,它显示出类似的合法关系。我们研究了由两个不同的组织收集的三个独立的参与者(n = 501、506和4,019名参与者),使用相同的7点李克特量表,将来自国际情感图片集的图片的正面偏好评价为负面偏好。没有操作框架的图片评分与文献中有关操作键盘任务的文献中所报告的功能产生了相似的价值功能,限制功能和权衡功能,所有这些功能都具有高于0.75的良好性。这些价值,限制和权衡功能在其数学表述中是离散的,在所有三个独立的人群中都经常出现,并在单个曲线和组曲线之间进行了缩放。在所有三个实验中,损失厌恶的计算均显示95%的置信区间低于2的值,这反对相对于收益的强烈超重超重,正如先前报道的有关键盘任务或限制性不确定性的机会游戏的报道。这三个队列的图形特征是相似的,并认为偏好评估符合合法的四个标准中的三个,提供了一种简单,短且低成本的方法,用于定量评估偏好,而无需强制选择决策,机会游戏或操作员按键。使用屏幕(例如手机),可以在任何数字设备上轻松实现此方法。

Operant keypress tasks, where each action has a consequence, have been analogized to the construct of "wanting" and produce lawful relationships in humans that quantify preferences for approach and avoidance behavior. It is unknown if rating tasks without an operant framework, which can be analogized to "liking", show similar lawful relationships. We studied three independent cohorts of participants (N = 501, 506, and 4,019 participants) collected by two distinct organizations, using the same 7-point Likert scale to rate negative to positive preferences for pictures from the International Affective Picture Set. Picture ratings without an operant framework produced similar value functions, limit functions, and trade-off functions to those reported in the literature for operant keypress tasks, all with goodness of fits above 0.75. These value, limit, and trade-off functions were discrete in their mathematical formulation, recurrent across all three independent cohorts, and demonstrated scaling between individual and group curves. In all three experiments, the computation of loss aversion showed 95% confidence intervals below the value of 2, arguing against a strong overweighting of losses relative to gains, as has previously been reported for keypress tasks or games of chance with calibrated uncertainty. Graphed features from the three cohorts were similar and argue that preference assessments meet three of four criteria for lawfulness, providing a simple, short, and low-cost method for the quantitative assessment of preference without forced choice decisions, games of chance, or operant keypressing. This approach can easily be implemented on any digital device with a screen (e.g., cellphones).

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