Subjects: Psychology >> Social Psychology submitted time 2024-01-08
Abstract： While a body of previous research attempted to reveal which of the two decision strategies (i.e., intuition vs. deliberation) led to more prosocial behavior, we went a step further to examine the impact of decision strategies in prosocial behavior on social judgments. Specifically, we examined the link between decision strategies and perceptions of humanness. Prosocial behavior is closely related to humanness. Intuitive prosocial behavior may represent the helper’s genuine goodwill, and thus may be judged as higher in humanness than deliberative prosocial behavior. However, given the complexity of contextual factors as well as humanness, the answer to this question is more complicated than one may think. We hypothesized that intuitive prosocial behavior (vs. deliberative prosocial behavior) would be perceived as higher in the Human Nature (HN) but not the Human Uniqueness (HU) dimension, and only in highly emotional but not low emotional situations.
Four experiments (valid N = 1657) were conducted where participants responded to hypothetical scenarios depicting helpers using different decision strategies in various helping situations. Study 1 investigated the differences in humanness perceptions between intuitive prosocial actors and deliberative prosocial actors in a highly emotional situation. In Study 2, we adopted a 2 (decision strategy: intuitive vs. deliberative) × 2 (situational emotionality: high vs. low) between-subject design, exploring the interaction between situational emotionality and decision strategy on humanness perceptions. Study 3 was a pre-registered study to replicate Study 2 with different scenarios. To better interpret the findings, in Study 4, we introduced a manipulation of behavioral consequences to examine whether consequences would moderate the differences in humanness perceptions between the two decision strategies. In all the studies, HN and HU were measured and analyzed separately.
As hypothesized, people who performed intuitive prosocial behavior were rated higher on HN than those who performed deliberative prosocial behavior in the highly emotional situations (Study 1, t(174) = 5.44, p < 0.001, d = 0.820; Study 2, F(1, 400) = 3.45，p = 0.064，ηp2 = 0.009; Study 3, F(1, 460) = 6.57，p = 0.011，ηp2 = 0.014). However, no significant difference in HU was found between the two groups in these situations. In the low emotional situations, deliberative helpers scored higher on HU than intuitive helpers (Study 2, F(1, 400) = 20.55，p < 0.001，ηp2 = 0.049; Study 3, F(1, 460) = 13.00，p < 0.001，ηp2 = 0.029), and the results on HN were not consistent; deliberative helpers were rated as higher on HN than intuitive helpers in Study 2 but not in Study 3. To reconcile the results, we manipulated behavioral consequences in Study 4, which demonstrated that although deliberative (vs. intuitive) helpers were attributed higher humanness when behavioral consequences were unknown or negative, this difference disappeared when consequences were positive, F(1, 607) = 1.42，p = 0.234，ηp2 = 0.002.
These findings enrich our understanding of prosocial behavior and humanness perceptions in complex situations. First, the results run against our intuition that intuitive actors would always be rated as higher in humanness than deliberative actors, and show that individuals’ perceptions of a prosocial actor depend on the interplay among multiple factors such as decision strategy, situational emotionality and behavioral consequences. Second, the studies demonstrate that even for prosocial behavior, which appears to be largely driven by emotions, rationality still plays an important role in the judgments of the actors’ humanness. Third, the results imply that people place a high value on rationality in performing prosocial behavior probably because they implicitly link intuitive prosocial behavior with less positive consequences.
Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2018-03-05
Abstract：[目的] 利用微博大数据探索熬夜和焦虑、抑郁情绪的关系。 [方法] 本研究根据微博用户在夜间的活动状态, 把100万活跃用户分为熬夜组和非熬夜组，比较两组用户在所发微博中出现的体现焦虑和抑郁情绪的相关词词频。 [结果] 独立样本t检验结果显示，熬夜组的焦虑相关词词频显著高于非熬夜组，t=36.86，p<0.001；熬夜组的抑郁相关词词频显著高于非熬夜组，t=49.71，p<0.001。 [局限] 词频分析与用心理测量量表测量抑郁和焦虑的情感无法完全等同，基于大数据的词频分析虽然提供了一种高效的分析方法，但不能完全替代严格的心理测量。 [结论] 入睡时间过晚会影响睡眠质量；熬夜人群更容易受到焦虑和抑郁情绪的困扰。
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