The effects of emotion and social consensus on moral decision-making

Reciprocity versus Self-Interest in a Competitive Interaction Context: An Experimental Study

In social interactions, the reciprocity norm implies to adjust one's behavior to that of the other agents. Conversely, behaving according to self-interest involves taking into account the reciprocity principle only if it does not hinder the achievement of one's goals. However, reciprocity and self-interest may conflict with each other, as when returning a kind action involves sacrificing the possibility to achieve a personal objective. The conflict could be exacerbated by some contextual factors, such as competitive pressures. This study investigated, in a competitive interaction context, which principle prevails when the two conflict. To this end, 276 unpaid participants (M = 138) took part in a two-stage experiment entailing a simulated interaction with a fictitious opponent, which behaved selfishly, fairly or altruistically toward them during the first stage. Participants had to decide whether or not to reciprocate the opponent's previous behavior, which in the critical experimental conditions conflicted with the goal to successfully complete the experiment. So, they were faced with a moral dilemma. Competition degree was manipulated to make the conflict between reciprocity and self-interest more or less harsh. Moreover, we tested whether the putative effect of experimental manipulation was mediated by changes in context-related affective states and personal beliefs about morality. Results showed that decision-making was principally influenced by reciprocity. Regardless of the competition degree, participants preferred to engage in reciprocal behavior even when this compromised their personal interest. Affective states and beliefs changed in response to the experimental manipulation, but they did not mediate the effect of the independent variable on decision-making.

Is it true that negative emotions cause more utilitarian judgements? from the influence of emotion and cognition

ABSTRACTThe affect-as-information (AAI) model proposes that emotions influence the accessibility and value of information (Avramova & Inbar, 2013). Furthermore, according to the dual-process model of moral judgement, emotions and cognition influence moral judgement (Greene, 2007; Greene et al., 2001, 2008); however, there is no direct evidence of a causal chain to support this model's proposition. By using a 3 (emotions: positive vs. neutral vs. negative) × 2 (primed rule: save lives vs. do not kill) between-participants design, we examined two hypotheses in two experiments: supraliminal (Experiment 1) and subliminal (Experiment 2) priming. Our results partially supported the AAI model and confirmed that emotions and cognition independently influence moral judgement. Specifically, the positive emotions group made more utilitarian decisions after being primed with the "save lives" rule and more deontological decisions after being primed with the do not kill rule. However, priming did not affect moral judgement in the negative emotion condition. Further, irrespective of whether priming was done, the negative emotion group mostly made utilitarian decisions. Accordingly, we propose a dynamic dual-process model of moral judgement, that can help clarify how emotion and cognition influence moral judgement.

Technology moral sense: Development, reliability, and validity of the TMS scale in Chinese version

Introduction

The aggregation of intelligent technologies such as big data, algorithms, and biometrics poses new moral risks to humanity and has raised awareness of technology ethics. Based on the research on moral issues in the fields of ethics and psychology, we built the concept of technology moral sense (TMS) by investigating three dimensions-technology moral consensus, cognition, and emotion.

Methods

We focused on the field of intelligent surveillance technology, adopted a scale, and conducted a questionnaire survey with more than 1,000 respondents. We used exploratory and confirmatory factor analysis to test two different samples.

Results

First, by combining item analysis and Cronbach's alpha coefficient, we established that all three dimensions are reliable. Our results indicated a Cronbach's alpha coefficient of 0.944, 0.891 and 0.938 for technology moral consensus, emotion, and cognition. Second, exploratory factor analysis verified that there were three factors, the eigenvalues were all greater than one, and the cumulative variance explanation rate was 74.953%, and the factor loading coefficient of the 18 items are greater than 0.5. Finally, we used confirmatory factor analysis to test the fit of the model. The test shows that RMSEA = 0.078, CFI and TLI are greater than 0.9, which indicating the fit was suitable and the construct validity was good.

Discussion

Our findings demonstrated that the new scale is a reliable tool for assessing the technology moral sense in China. The results support the reliability and validity of the Technology Moral Sense (TMS) scale, and explain the existence of the concept of technology moral sense through three dimensions.

Carpe diem or carpe mañana? Emotion priming affects intertemporal choice among Internet addicts and normal Internet users

In this digitalized era, Internet addiction has been a severe problem that needs imperative solutions derived from the same mechanism that leads to its addiction. To uncover a more nuanced mechanism for Internet addiction in association with decision-making focus and emotions and thus generate effective interventions, we conducted three experiments to investigate how various forms of emotion priming affect intertemporal choice among Internet addicts and normal Internet users. We divided the emotions into three categories, namely emotional valence (negative and positive emotions), expected emotion type (expected regret, expected joy), and current emotion type (current regret, current joy). In experiment one, we examined the effect of two participant types (Internet addicts and normal Internet users) with three emotion valences (positive, negative, and neutral). In experiment two, we examined the effect of two participant types (Internet addicts and normal Internet users) with three current emotion types (current regret, joy, and neutral). In experiment three, we examined the effect of two participant types (Internet addicts and normal Internet users) with two expected emotion types (expected regret and expected joy). We conducted a completely randomized experimental design in each experiment and used subjective value as the dependent variable index of intertemporal choice. The results showed that the subjective value of Internet addicts was significantly lower than that of normal Internet users across three studies. The subjective value of individuals primed with positive emotions was significantly higher than those primed with negative emotions, no matter whether they were normal Internet users or addicts (experiment one). The subjective value of individuals primed with expected joy was significantly higher than those primed with expected regret, no matter whether they were normal Internet users or addicts (experiment three). When primed with current joy, however, the Internet addicts' subjective value was significantly lower than when primed with current regret, but this did not apply to normal Internet users (experiment two). These results suggest positive emotions and expected joy enhanced long-term goals and greater rewards focus on intertemporal decision-making compared to negative emotions and expected regret. However, current joy facilitated short-term goals, and smaller rewards focus on intertemporal decision-making compared to current regret. The theoretical and practical implications for Internet addiction are also discussed in this paper.

Coding the negative emotions of family members and patients among the high-risk preoperative conversations with the Chinese version of VR-CoDES

Background

Little is known about family members' and patients' expression of negative emotions among high‐risk preoperative conversations.

Objectives

This study aimed to identify the occurrence and patterns of the negative emotions of family members and patients in preoperative conversations, to investigate the conversation themes and to explore the correlation between the negative emotions and the conversation themes.

Methods

A retrospective study was conducted using the Chinese version of Verona Coding Definitions of Emotional Sequences (VR‐CoDES‐C) to code 297 conversations on high‐risk procedures. Inductive content analysis was used to analyse the topics in which negative emotions nested. The χ² Test was used to test the association between the cues and the conversation themes.

Results

The occurrence rate of family members' and patients' negative emotions was very high (85.9%), much higher when compared to most conversations under other medical settings. The negative emotions were mainly expressed by cues (96.4%), and cue‐b (67.4%) was the most frequent category. Cues and concerns were mostly elicited by family members and patients (71.6%). Negative emotions were observed among seven themes, in which ‘Psychological stress relating to illness severity, family's care and financial burden’ (30.3%) ranked the top. Cue‐b, cue‐c and cue‐d had a significant correlation (p < .001) with certain themes.

Conclusions

Family members and patients conveyed significantly more negative emotions in the high‐risk preoperative conversations than in other medical communications. Certain categories of cues were induced by specific emotional conversation contents.

Patient Contribution

Family members and patients contributed to data.