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在情景式未来思维过程中进行的过程模拟是否会增强对中等收入参与者和贫困人口延迟折扣的减少?

Do process simulations during episodic future thinking enhance the reduction of delay discounting for middle income participants and those living in poverty?

作者信息

O'Donnell Sara, Daniel Tinuke Oluyomi, Koroschetz Jordynn, Kilanowski Colleen, Otminski Aris, Bickel Warren K, Epstein Leonard H

机构信息

Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States.

Department of Psychiatry, Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States.

出版信息

J Behav Decis Mak. 2019 Jul;32(3):231-240. doi: 10.1002/bdm.2108. Epub 2018 Oct 31.

Abstract

Two studies examined whether episodic future thinking (EFT; pre-experiencing future events) reduces discounting of future rewards (DD). No studies have investigated whether process simulations (i.e., simulating the process of executing a future event) amplify EFT's reduction of DD. Study 1 examined the effect of incorporating process simulations into EFT ( = 42, = 43.27; 91% female, family income = $75,976) using a 2 × 2 factorial design with type of episodic thinking (process, nonprocess/general) and temporal perspective (EFT, episodic recent thinking) as between-subjects factors. Study 2 replicated Study 1 in a sample of adults living in poverty ( = 36; = 38.44, 88% female; family income = $25,625). The results of both studies showed EFT reduced DD, but process-oriented EFT did not amplify the effect of EFT. Our findings suggest the key ingredient in EFT's effect on DD is self-projection into the future. This was also the first study to show EFT improves DD in a sample living in poverty.

摘要

两项研究考察了情景式未来思维(EFT;预先体验未来事件)是否会减少对未来奖励的折扣(DD)。尚无研究探讨过程模拟(即模拟执行未来事件的过程)是否会增强EFT对DD的减少作用。研究1采用2×2析因设计,以情景式思维类型(过程、非过程/一般)和时间视角(EFT、情景式近期思维)作为组间因素,考察了将过程模拟纳入EFT的效果(n = 42,M = 43.27;91%为女性,家庭收入 = 75,976美元)。研究2在贫困成年人样本中重复了研究1(n = 36;M = 38.44,88%为女性;家庭收入 = 25,625美元)。两项研究的结果均显示EFT减少了DD,但以过程为导向的EFT并未增强EFT的效果。我们的研究结果表明,EFT对DD产生影响的关键因素是自我投射到未来。这也是第一项表明EFT在贫困样本中改善DD的研究。

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