Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》
Abstract： People overestimate the intensity and duration of their affective reactions to events in the future. This is called impact bias (Wilson & Gilbert, 2003). Impact bias influences individuals’ satisfaction with their decision making. Few studies have shed light on how to reduce impact bias in affective forecast based on dual-process theories. According to dual-process theories of human thinking, there are two distinct but interacting systems for information processing. System 1 relies on frugal heuristics and produces intuitive responses, while System 2 relies on deliberative analytical processing. System 2 often overrides the input of System 1 when analytical thinking is activated. Thus, we here hypothesize that analytical thinking reduces the impact bias in affective forecasting.In experiment 1, a total of 240 undergraduates were assigned to play an ultimatum game as proposers and asked to predict how they would feel when their proposals were accepted or rejected by responders. At random, they were told their proposals were accepted or rejected. As soon as they knew the result, they were asked to report how they felt. Before the ultimatum game began, participants were randomly assigned to view pictures of The Thinker to prime analytical thinking or geometric figures as a control condition. The results showed that analytical thinking reduced impact bias in affective forecasting by reducing the intensity of predicted emotions.In experiment 2, a total of 52 undergraduates took part in a memory test. They were asked to predict how they would feel if their score on a memory test exceeded 90% or not before they took the test. As soon as they knew the result that they did not exceed 90%, they were asked to report how they felt. Before taking the memory test, participants were randomly assigned to perform a verbal fluency task with words related to analytical thinking to prime analytical thinking or to a verbal fluency task with words not related to analytical thinking as a control condition. The results showed that analytical thinking reduced impact bias in affective forecasting by reducing the intensity of predicted emotions.In experiment 3, a total of 111 women who had only one child were asked to predict how they would feel if they had a second. Before predicting their feelings, they were randomly assigned to view pictures of The Thinker to prime analytical thinking or geometric figures as a control condition. Results showed that analytical thinking reduced the positive affect of having the second child but not the negative affect of having the second child.In sum, the present research shows that analytical thinking reduces impact bias in affective forecasting by reducing the intensity of predicted emotions. It can help us reduce impact bias in affective forecasting when making decisions and promote satisfaction with those decisions. Limitations and further research are here discussed as well.
Subjects: Psychology >> Applied Psychology submitted time 2020-05-07
Abstract： " People overestimate the intensity and duration of their affective reactions to events in the future. This is called impact bias (Wilson & Gilbert, 2003). Impact bias influences individuals’ satisfaction with their decision making. Few studies have shed light on how to reduce impact bias in affective forecast based on dual-process theories. According to dual-process theories of human thinking, there are two distinct but interacting systems for information processing. System 1 relies on frugal heuristics and produces intuitive responses, while System 2 relies on deliberative analytical processing. System 2 often overrides the input of System 1 when analytical thinking is activated. Thus, we here hypothesize that analytical thinking reduces the impact bias in affective forecasting. In experiment 1, a total of 240 undergraduates were assigned to play an ultimatum game as proposers and asked to predict how they would feel when their proposals were accepted or rejected by responders. At random, they were told their proposals were accepted or rejected. As soon as they knew the result, they were asked to report how they felt. Before the ultimatum game began, participants were randomly assigned to view pictures of The Thinker to prime analytical thinking or geometric figures as a control condition. The results showed that analytical thinking reduced impact bias in affective forecasting by reducing the intensity of predicted emotions. In experiment 2, a total of 52 undergraduates took part in a memory test. They were asked to predict how they would feel if their score on a memory test exceeded 90% or not before they took the test. As soon as they knew the result that they did not exceed 90%, they were asked to report how they felt. Before taking the memory test, participants were randomly assigned to perform a verbal fluency task with words related to analytical thinking to prime analytical thinking or to a verbal fluency task with words not related to analytical thinking as a control condition. The results showed that analytical thinking reduced impact bias in affective forecasting by reducing the intensity of predicted emotions. In experiment 3, a total of 111 women who had only one child were asked to predict how they would feel if they had a second. Before predicting their feelings, they were randomly assigned to view pictures of The Thinker to prime analytical thinking or geometric figures as a control condition. Results showed that analytical thinking reduced the positive affect of having the second child but not the negative affect of having the second child. In sum, the present research shows that analytical thinking reduces impact bias in affective forecasting by reducing the intensity of predicted emotions. It can help us reduce impact bias in affective forecasting when making decisions and promote satisfaction with those decisions. Limitations and further research are here discussed as well.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Medical Psychology Subjects: Medicine, Pharmacy >> Preclinical Medicine submitted time 2020-02-19
Abstract： Abstract: Objective: To investigate the influence of COVID-19 on the psychological status of residents in different regions of China in the medium term.Methods: Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS),Social Support Rating Scale (Social Support Rate) and disease awareness survey were performed on 3340 residents in different regions in China. Results: The average scores of depression (40.89 ± 10.901) and anxiety (38.35 ± 8.298) were slightly higher than the norm (P <0.05), but had no clinical significance (depression score> 53; anxiety score> 50). Compared with non-Hubei region, no significant difference was found in depression and anxiety scores. Although average score of each group in the SSRS score was> 30,the younger group was smaller than the older group (P <0.05). The disease cognition score was higher in the medical group than in the non-medical group and higher in the younger group (P <0.05). Correlation analysis showed that there was a significant negative correlation between cognition and anxiety or depression scores (P <0.05). Conclusion: Under the leadership of CPC and Chinese Government, the war against epidemic disease of COVID-19 has achieved Partial victory. The anxiety and depression of the general public, especially in Hubei, have been alleviated to some extent, however it is still slightly worse than that in non-epidemic period. The social masses, especially the elderly masses, are still relatively inadequate in understanding the COVID-19, which needs to be further popularized by the community and medical staff. Further popularization of the disease may be an effective way to eliminate anxiety and depression.
Peer Review Status:Awaiting Review
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