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

Wang, Dawei; Kong, Xiangwei; Nie, Xinxiao; Shang, Yuxi; Xu, Shike; He, Yunbo; Maguire, Phil; Hu, Yixin

doi:10.1080/10508422.2020.1830404

Cited by 8 publications

(5 citation statements)

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“…Hume argued that since we cannot completely eradicate self-interest, it is better to transform the problem by providing an effective constraint than by the agreement concluded by all members of society, which is achieved through social interaction, a general sense of the common good manifested. Therefore, (Kay and Saucier, 2020) and that can influence moral decisions (Wang et al, 2021).…”

Section: Technology Moral Consensusmentioning

confidence: 99%

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

Huang

2023

Front. Psychol.

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IntroductionThe 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.MethodsWe 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.ResultsFirst, 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.DiscussionOur 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.

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Section: Technology Moral Consensusmentioning

confidence: 99%

“…Similarly, when people face the moral problems brought by technology, they also need to form moral consensus. With this dimension, we can capture not only what individuals think technology is moral, but also the moral consensus that society needs ( Kay and Saucier, 2020 ) and that can influence moral decisions ( Wang et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

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

Huang

2023

Front. Psychol.

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“…Previous research has shown that emotions can greatly impact individual attitudes and behaviors, especially decision-making (Lerner and Keltner, 2001 ; Li et al, 2011 ; Wang et al, 2021 ; Karen et al, 2022 ). A considerable amount of studies have shown that emotions can influence people's decision-making behaviors (Loewenstein and Lerner, 2003 ; Bechara and Damasio, 2005 ; Clore and Huntsinger, 2007 ; Sohn et al, 2015 ; Herman et al, 2018 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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

Wen

2022

Front. Psychol.

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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.

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“…16,17 Additionally, family members might be unable to fully process the information if their emotional distress has not been addressed. 18 As negative emotions are correlated with insomnia, 19 poor interpersonal relationship, 20 poor judgement 21 and extreme behaviours, 22 we believe that it is very important to identify negative emotions and explore an appropriate coping strategy in the context of poor doctor-patient relationships in China. Patients and their family members, who have inadequate medical knowledge, might experience more negative emotions when confronting decisions on critical health issues such as cancer diagnosis, treatment options and major operations with high risks.…”

Section: Introductionmentioning

confidence: 99%

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

Qian

Liu

Yin

et al. 2022

Health Expectations

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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 χ 2 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.

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

Cited by 8 publications

References 50 publications

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

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

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

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

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