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A beautiful face is good when we're judged by others, a moral character is better. 别人评价我们时,漂亮的脸蛋是好的,但品德更好。
Pub Date : 2025-04-23 DOI: 10.1093/scan/nsae071
Julia Baum, Rasha Abdel Rahman

Moral beauty, reflected in one's actions, and facial beauty both affect how we are judged. Here, we investigated how moral and facial beauty interact to affect social judgments and emotional responses, employing event-related brain potentials (ERPs). All participants (female) associated positive, neutral, or negative verbal information with faces scoring high or low on attractiveness and performed ratings of the faces as manipulation checks. In a separate test phase, the faces were presented again, and participants made valenced social judgments of the persons. Results show a dominance of moral beauty in valenced social judgments as well as ERPs related to reflexive and evaluative emotional responses (early posterior negativity and late positive potential), whereas facial attractiveness mattered little. In contrast, facial attractiveness affected visual processing (N170). Similarly, relatively shallow impressions of attractiveness and likability that require no knowledge about the person were influenced by both facial attractiveness and social-emotional information. This pattern of dominant effects of social-emotional information regardless of attractiveness shows that when it comes to our emotional responses and social judgments, moral beauty is what matters most, even in the face of physical beauty.

道德美(反映在一个人的行为中)和面部美都会影响人们对我们的评价。在这里,我们利用事件相关脑电位研究了道德美和面部美如何交互影响社会判断和情绪反应。参与者(均为女性)将正面、中性或负面的语言信息与吸引力高或低的面孔联系起来,并对这些面孔进行评分作为操纵检查。在另一个测试阶段,这些面孔再次出现,参与者对这些人进行社会价值判断。结果显示,道德美在有价值的社会判断以及与反射性和评价性情绪反应相关的ERPs(早期后负性,EPN,晚期正电位,LPP)中占主导地位,而面部吸引力则影响甚微。相反,面部吸引力会影响视觉处理(N170)。同样,对吸引力和好感度的相对肤浅的印象也同时受到面部吸引力和社会情感信息的影响。这种无论吸引力如何,社会情感信息都起主导作用的模式表明,当涉及到我们的情感反应和社会判断时,道德美才是最重要的,即使面对的是外表美。
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引用次数: 0
A beautiful face is good when we're judged by others, a moral character is better. 当我们被别人评价时,漂亮的脸蛋是好的,道德品质更好。
Pub Date : 2025-04-23 DOI: 10.1093/scan/nsae071
Julia Baum, Rasha Abdel Rahman

Moral beauty, reflected in one's actions, and facial beauty both affect how we are judged. Here, we investigated how moral and facial beauty interact to affect social judgments and emotional responses, employing event-related brain potentials (ERPs). All participants (female) associated positive, neutral, or negative verbal information with faces scoring high or low on attractiveness and performed ratings of the faces as manipulation checks. In a separate test phase, the faces were presented again, and participants made valenced social judgments of the persons. Results show a dominance of moral beauty in valenced social judgments as well as ERPs related to reflexive and evaluative emotional responses (early posterior negativity and late positive potential), whereas facial attractiveness mattered little. In contrast, facial attractiveness affected visual processing (N170). Similarly, relatively shallow impressions of attractiveness and likability that require no knowledge about the person were influenced by both facial attractiveness and social-emotional information. This pattern of dominant effects of social-emotional information regardless of attractiveness shows that when it comes to our emotional responses and social judgments, moral beauty is what matters most, even in the face of physical beauty.

道德美,反映在一个人的行为上,以及面部美,都会影响人们对我们的评价。在此,我们利用事件相关脑电位(ERPs)研究了道德和面部美如何相互作用影响社会判断和情绪反应。所有参与者(女性)都将正面、中性或负面的语言信息与吸引力得分高或低的面孔联系起来,并对这些面孔进行评级,作为操纵检查。在另一个单独的测试阶段,这些面孔再次出现,参与者对这些人做出有价值的社会判断。结果显示,道德美在有价值的社会判断以及与反身性和评价性情绪反应(早期后验负性和晚期正性电位)相关的erp中占主导地位,而面部吸引力则不太重要。相反,面部吸引力影响视觉加工(N170)。同样,不需要了解这个人的吸引力和可爱性的相对肤浅的印象受到面部吸引力和社会情感信息的影响。这种不考虑吸引力的社会情感信息的主导效应模式表明,当涉及到我们的情绪反应和社会判断时,道德美是最重要的,即使面对外表美。
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引用次数: 0
Is what I think what you think? Multilayer network-based inter-brain synchrony approach. 我想的和你想的一样吗?基于多层网络的脑间同步方法。
Pub Date : 2025-04-17 DOI: 10.1093/scan/nsaf028
Heegyu Kim, Sangyeon Kim, Sung Chan Jun, Chang S Nam

Social interaction plays a crucial role in human societies, encompassing complex dynamics among individuals. To understand social interaction at the neural level, researchers have utilized hyperscanning in several social settings. These studies have mainly focused on inter-brain synchrony and the efficiency of paired functional brain networks, examining group interactions in dyads. However, this approach may not fully capture the complexity of multiple interactions, potentially leading to gaps in understanding inter-network differences. To overcome this limitation, the present study aims to bridge this gap by introducing methodological enhancements using the multilayer network approach, which is tailored to extract features from multiple networks. We applied this strategy to analyze the triad condition during social behavior processes to identify group interaction indices. Additionally, to validate our methodology, we compared the multilayer networks of triad conditions with group synchrony to paired conditions without group synchrony, focusing on statistical differences between alpha and beta waves. Correlation analysis between inter-brain and group networks revealed that this methodology accurately reflects the characteristics of actual behavioral synchrony. The findings of our study suggest that measures of paired brain synchrony and group interaction may exhibit distinct trends, offering valuable insights into interpreting group synchrony.

社会互动在人类社会中起着至关重要的作用,包含了个体之间复杂的动态。为了从神经层面理解社会互动,研究人员在几种社会环境中使用了超扫描。这些研究主要集中在脑间同步和成对功能脑网络的效率上,研究了成对的群体相互作用。然而,这种方法可能不能完全捕获多个交互的复杂性,可能导致理解网络间差异的差距。为了克服这一限制,本研究旨在通过引入多层网络方法的方法增强来弥补这一差距,多层网络方法是为从多个网络中提取特征而量身定制的。我们运用这一策略分析社会行为过程中的三合一条件,以确定群体互动指标。此外,为了验证我们的方法,我们比较了具有群体同步的三重条件和没有群体同步的成对条件的多层网络,重点关注α波和β波之间的统计差异。脑间网络和群体网络的相关性分析表明,该方法准确地反映了实际行为同步性的特征。我们的研究结果表明,成对脑同步和群体互动的测量可能表现出不同的趋势,为解释群体同步提供了有价值的见解。
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引用次数: 0
The heart of social pain: examining resting blood pressure and neural sensitivity to exclusion. 社交痛苦的核心:检查静息血压和神经对排斥的敏感性。
Pub Date : 2025-04-15 DOI: 10.1093/scan/nsaf025
Sarah J Dembling, Nicole M Abaya, Peter J Gianaros, Tristen K Inagaki

Previous work suggests blood pressure (BP) relates to social algesia, where those with higher BP are more tolerant of social pain. The neural correlates of this association, however, are unknown. Based on findings suggesting neural regions involved in physical pain are activated during social pain, the current study explores whether BP relates to subjective and neural responses to social pain, apart from emotional responding. BP was measured, after which participants completed emotional processing and social exclusion functional magnetic resonance imaging (fMRI) paradigms. Results replicated previous findings, with higher systolic BP related to lower trait sensitivity to social pain. However, there were no associations between BP and reported sensitivity to social pain during social exclusion. Moreover, after accounting for adiposity, we found no association between BP and anterior insula (AI) or dorsal anterior cingulate cortex (dACC) activity to exclusion. Finally, there were no reliable associations between BP and reported valence or arousal, or AI and dACC activity to emotional images. Findings partly replicate and extend prior findings on BP and emotional responding to social pain; however, they appear inconsistent with predictions at the neural level. Future experimental manipulation of BP may allow for causal inferences and adjudication of conceptual perspectives on cardiovascular contributions to social algesia.

先前的研究表明,血压(BP)与社交疼痛有关,血压高的人更能忍受社交疼痛。然而,这种关联的神经关联尚不清楚。研究结果表明,与生理疼痛相关的神经区域在社交疼痛时被激活,目前的研究探讨了BP是否与社交疼痛的主观和神经反应有关,除了情绪反应。测量血压后,参与者完成情绪加工和社会排斥功能磁共振成像(fMRI)范式。结果重复了先前的发现,较高的收缩压与较低的社交疼痛敏感性相关。然而,在社会排斥期间,BP和报告的社会疼痛敏感性之间没有关联。此外,在考虑肥胖因素后,我们发现BP与前脑岛(AI)或前扣带皮层背侧(dACC)活性之间没有关联。最后,BP和报告的效价或觉醒之间,或AI和dACC活动与情绪图像之间没有可靠的联系。研究结果部分重复和扩展了先前关于血压和社交痛苦情绪反应的研究结果;然而,它们似乎与神经层面的预测不一致。未来的实验操作BP可能允许因果推理和判定心血管对社会痛觉的贡献的概念观点。
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引用次数: 0
The heart of social pain: examining resting blood pressure and neural sensitivity to exclusion. 社交痛苦的核心:检查静息血压和神经对排斥的敏感性。
Pub Date : 2025-04-15 DOI: 10.1093/scan/nsaf025
Sarah J Dembling, Nicole M Abaya, Peter J Gianaros, Tristen K Inagaki

Previous work suggests blood pressure (BP) relates to social algesia, where those with higher BP are more tolerant of social pain. The neural correlates of this association, however, are unknown. Based on findings suggesting neural regions involved in physical pain are activated during social pain, the current study explores whether BP relates to subjective and neural responses to social pain, apart from emotional responding. BP was measured, after which participants completed emotional processing and social exclusion functional magnetic resonance imaging (fMRI) paradigms. Results replicated previous findings, with higher systolic BP related to lower trait sensitivity to social pain. However, there were no associations between BP and reported sensitivity to social pain during social exclusion. Moreover, after accounting for adiposity, we found no association between BP and anterior insula (AI) or dorsal anterior cingulate cortex (dACC) activity to exclusion. Finally, there were no reliable associations between BP and reported valence or arousal, or AI and dACC activity to emotional images. Findings partly replicate and extend prior findings on BP and emotional responding to social pain; however, they appear inconsistent with predictions at the neural level. Future experimental manipulation of BP may allow for causal inferences and adjudication of conceptual perspectives on cardiovascular contributions to social algesia.

先前的研究表明,血压(BP)与社交疼痛有关,血压高的人更能忍受社交疼痛。然而,这种关联的神经关联尚不清楚。研究结果表明,与生理疼痛相关的神经区域在社交疼痛时被激活,目前的研究探讨了BP是否与社交疼痛的主观和神经反应有关,除了情绪反应。测量血压后,参与者完成情绪加工和社会排斥功能磁共振成像范式。结果重复了先前的发现,较高的收缩压与较低的社交疼痛敏感性相关。然而,在社会排斥期间,BP和报告的社会疼痛敏感性之间没有关联。此外,在考虑肥胖因素后,我们发现BP与前脑岛(AI)或前扣带皮层背侧(dACC)活性之间没有关联。最后,BP和报告的效价或觉醒之间,或AI和dACC活动与情绪图像之间没有可靠的联系。研究结果部分重复和扩展了先前关于血压和社交痛苦情绪反应的研究结果;然而,它们似乎与神经层面的预测不一致。未来的实验操作BP可能允许因果推理和判定心血管对社会痛觉的贡献的概念观点。
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引用次数: 0
Is what I think what you think? Multilayer network-based inter-brain synchrony approach. 我所想的就是你所想的吗?基于多层网络的脑间同步方法。
Pub Date : 2025-04-09 DOI: 10.1093/scan/nsaf028
Heegyu Kim, Sangyeon Kim, Sung Chan Jun, Chang S Nam

Social interaction plays a crucial role in human societies, encompassing complex dynamics among individuals. To understand social interaction at the neural level, researchers have utilized hyperscanning in several social settings. These studies have mainly focused on inter-brain synchrony and the efficiency of paired functional brain networks, examining group interactions in dyads. However, this approach may not fully capture the complexity of multiple interactions, potentially leading to gaps in understanding inter-network differences. To overcome this limitation, the present study aims to bridge this gap by introducing methodological enhancements using the multilayer network approach, which is tailored to extract features from multiple networks. We applied this strategy to analyze the triad condition during social behavior processes to identify group interaction indices. Additionally, to validate our methodology, we compared the multilayer networks of triad conditions with group synchrony to paired conditions without group synchrony, focusing on statistical differences between alpha and beta waves. Correlation analysis between inter-brain and group networks revealed that this methodology accurately reflects the characteristics of actual behavioral synchrony. The findings of our study suggest that measures of paired brain synchrony and group interaction may exhibit distinct trends, offering valuable insights into interpreting group synchrony.

社会互动在人类社会中起着至关重要的作用,包含了个体之间复杂的动态。为了从神经层面理解社会互动,研究人员在几种社会环境中使用了超扫描。这些研究主要集中在脑间同步和成对功能脑网络的效率上,研究了成对的群体相互作用。然而,这种方法可能不能完全捕获多个交互的复杂性,可能导致理解网络间差异的差距。为了克服这一限制,本研究旨在通过引入多层网络方法的方法增强来弥补这一差距,多层网络方法是为从多个网络中提取特征而量身定制的。我们运用这一策略分析社会行为过程中的三合一条件,以确定群体互动指标。此外,为了验证我们的方法,我们比较了具有群体同步的三重条件和没有群体同步的成对条件的多层网络,重点关注α波和β波之间的统计差异。脑间网络和群体网络的相关性分析表明,该方法准确地反映了实际行为同步性的特征。我们的研究结果表明,成对脑同步和群体互动的测量可能表现出不同的趋势,为解释群体同步提供了有价值的见解。
{"title":"Is what I think what you think? Multilayer network-based inter-brain synchrony approach.","authors":"Heegyu Kim, Sangyeon Kim, Sung Chan Jun, Chang S Nam","doi":"10.1093/scan/nsaf028","DOIUrl":"10.1093/scan/nsaf028","url":null,"abstract":"<p><p>Social interaction plays a crucial role in human societies, encompassing complex dynamics among individuals. To understand social interaction at the neural level, researchers have utilized hyperscanning in several social settings. These studies have mainly focused on inter-brain synchrony and the efficiency of paired functional brain networks, examining group interactions in dyads. However, this approach may not fully capture the complexity of multiple interactions, potentially leading to gaps in understanding inter-network differences. To overcome this limitation, the present study aims to bridge this gap by introducing methodological enhancements using the multilayer network approach, which is tailored to extract features from multiple networks. We applied this strategy to analyze the triad condition during social behavior processes to identify group interaction indices. Additionally, to validate our methodology, we compared the multilayer networks of triad conditions with group synchrony to paired conditions without group synchrony, focusing on statistical differences between alpha and beta waves. Correlation analysis between inter-brain and group networks revealed that this methodology accurately reflects the characteristics of actual behavioral synchrony. The findings of our study suggest that measures of paired brain synchrony and group interaction may exhibit distinct trends, offering valuable insights into interpreting group synchrony.</p>","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11980598/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Within-person dynamics of attention to race and expression of race bias: a real-time test of the self-regulation of prejudice model. 关注种族和种族偏见表达的人内动态:偏见自我调节模型的实时测试。
Pub Date : 2025-04-09 DOI: 10.1093/scan/nsaf026
Paul J Brancaleone, Roberto U Cofresí, Hannah I Volpert-Esmond, David M Amodio, Tiffany A Ito, Bruce D Bartholow

Prior research has supported some aspects of a theorized prejudice self-regulation model. We provide the first test of the full model-based process of bias regulation as it unfolds in real time. Event-related potentials (ERPs) were recorded from White undergraduates at two large American universities (N = 130; 40% female) during a racial stereotype priming task. Attention to Black male face primes, indexed by the P2 ERP, increased following self-regulation failures. In turn, within-person, trial-to-trial variability in attention to Black male faces predicted variability in bias expression. The latter effect was moderated by individual differences in internal motivation to respond without prejudice (IMS). Specifically, among lower-IMS individuals, trials in which Black faces elicited relatively larger P2 amplitudes (relative to an individual's own average P2 amplitude) were associated with increased behavioral race bias. In contrast, and consistent with theory, among higher-IMS individuals trials in which Black faces elicited larger relative P2 amplitudes were associated with decreased bias. Findings provide direct evidence supporting the temporal sequencing of race-bias regulation and identify within-person variability in attention to race as a potential mechanism for determining when and in whom bias will be regulated.

先前的研究已经支持了理论化的偏见自我调节模型的某些方面。我们提供了完整的基于模型的偏见调节过程的第一个测试,因为它是实时展开的。事件相关电位记录了来自美国两所大型大学的白人本科生(N = 130;40%是女性)在种族刻板印象启动任务中。自我调节失败后,对黑人男性面孔启动的关注(由P2 ERP索引)增加。反过来,在个人内部,对黑人男性面孔的注意力的不同试验预测了偏见表达的不同。后一种效应被无偏见回应(IMS)的内在动机的个体差异所缓和。具体来说,在ims较低的个体中,黑人面孔引发相对较大的P2振幅(相对于个体自己的平均P2振幅)的试验与增加的行为种族偏见有关。相反,与理论一致的是,在ims较高的个体中,黑人面孔引起的相对P2振幅较大的试验与偏倚减少有关。研究结果为种族偏见调节的时间顺序提供了直接证据,并确定了个人对种族的关注可变性是决定何时以及在谁身上调节偏见的潜在机制。
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引用次数: 0
Within-person dynamics of attention to race and expression of race bias: a real-time test of the self-regulation of prejudice model. 关注种族和种族偏见表达的人内动态:偏见自我调节模型的实时测试。
Pub Date : 2025-04-09 DOI: 10.1093/scan/nsaf026
Paul J Brancaleone, Roberto U Cofresí, Hannah I Volpert-Esmond, David M Amodio, Tiffany A Ito, Bruce D Bartholow

Prior research has supported some aspects of a theorized prejudice self-regulation model. We provide the first test of the full model-based process of bias regulation as it unfolds in real time. Event-related potentials (ERPs) were recorded from White undergraduates at two large American universities (N = 130; 40% female) during a racial stereotype priming task. Attention to Black male face primes, indexed by the P2 ERP, increased following self-regulation failures. In turn, within-person, trial-to-trial variability in attention to Black male faces predicted variability in bias expression. The latter effect was moderated by individual differences in internal motivation to respond without prejudice (IMS). Specifically, among lower-IMS individuals, trials in which Black faces elicited relatively larger P2 amplitudes (relative to an individual's own average P2 amplitude) were associated with increased behavioral race bias. In contrast, and consistent with theory, among higher-IMS individuals trials in which Black faces elicited larger relative P2 amplitudes were associated with decreased bias. Findings provide direct evidence supporting the temporal sequencing of race-bias regulation and identify within-person variability in attention to race as a potential mechanism for determining when and in whom bias will be regulated.

先前的研究已经支持了理论化的偏见自我调节模型的某些方面。我们提供了完整的基于模型的偏见调节过程的第一个测试,因为它是实时展开的。事件相关电位记录了来自美国两所大型大学的白人本科生(N = 130;40%是女性)在种族刻板印象启动任务中。自我调节失败后,对黑人男性面孔启动的关注(由P2 ERP索引)增加。反过来,在个人内部,对黑人男性面孔的注意力的不同试验预测了偏见表达的不同。后一种效应被无偏见回应(IMS)的内在动机的个体差异所缓和。具体来说,在ims较低的个体中,黑人面孔引发相对较大的P2振幅(相对于个体自己的平均P2振幅)的试验与增加的行为种族偏见有关。相反,与理论一致的是,在ims较高的个体中,黑人面孔引起的相对P2振幅较大的试验与偏倚减少有关。研究结果为种族偏见调节的时间顺序提供了直接证据,并确定了个人对种族的关注可变性是决定何时以及在谁身上调节偏见的潜在机制。
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引用次数: 0
Neural dynamics of mental state attribution to social robot faces. 社交机器人面孔的心理状态归因神经动力学
Pub Date : 2025-04-02 DOI: 10.1093/scan/nsaf027
Martin Maier, Alexander Leonhardt, Florian Blume, Pia Bideau, Olaf Hellwich, Rasha Abdel Rahman

The interplay of mind attribution and emotional responses is considered crucial in shaping human trust and acceptance of social robots. Understanding this interplay can help us create the right conditions for successful human-robot social interaction in alignment with societal goals. Our study shows that affective information about robots describing positive, negative, or neutral behaviour leads participants (N = 90) to attribute mental states to robot faces, modulating impressions of trustworthiness, facial expression, and intentionality. Electroencephalography recordings from 30 participants revealed that affective information influenced specific processing stages in the brain associated with early face perception (N170 component) and more elaborate stimulus evaluation (late positive potential). However, a modulation of fast emotional brain responses, typically found for human faces (early posterior negativity), was not observed. These findings suggest that neural processing of robot faces alternates between being perceived as mindless machines and intentional agents: people rapidly attribute mental states during perception, literally seeing good or bad intentions in robot faces, but are emotionally less affected than when facing humans. These nuanced insights into the fundamental psychological and neural processes underlying mind attribution can enhance our understanding of human-robot social interactions and inform policies surrounding the moral responsibility of artificial agents.

心理归因和情绪反应的相互作用被认为是塑造人类对社交机器人的信任和接受的关键。了解这种相互作用可以帮助我们创造合适的条件,使人类与机器人的社会互动与社会目标保持一致。我们的研究表明,描述机器人积极、消极或中性行为的情感信息导致参与者(N=90)将心理状态归因于机器人的面孔,从而调节对可信度、面部表情和意向性的印象。来自30名参与者的脑电图记录显示,情感信息影响了大脑中与早期面部感知(N170成分)和更复杂的刺激评估(晚期正电位,LPP)相关的特定处理阶段。然而,没有观察到快速情绪大脑反应的调节,通常在人脸(早期后极性,EPN)中发现。这些发现表明,对机器人面孔的神经处理在被认为是无意识的机器和有意识的代理人之间交替进行:人们在感知过程中迅速将精神状态归为一类,从字面上看到机器人脸上的善意或恶意,但在情感上受到的影响比面对人类时要小。这些对心智归因背后的基本心理和神经过程的细微洞察,可以增强我们对人类与机器人社会互动的理解,并为围绕人工代理的道德责任制定政策提供信息。
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引用次数: 0
Neural dynamics of mental state attribution to social robot faces. 社交机器人面部心理状态归因的神经动力学。
Pub Date : 2025-04-02 DOI: 10.1093/scan/nsaf027
Martin Maier, Alexander Leonhardt, Florian Blume, Pia Bideau, Olaf Hellwich, Rasha Abdel Rahman

The interplay of mind attribution and emotional responses is considered crucial in shaping human trust and acceptance of social robots. Understanding this interplay can help us create the right conditions for successful human-robot social interaction in alignment with societal goals. Our study shows that affective information about robots describing positive, negative, or neutral behaviour leads participants (N = 90) to attribute mental states to robot faces, modulating impressions of trustworthiness, facial expression, and intentionality. Electroencephalography recordings from 30 participants revealed that affective information influenced specific processing stages in the brain associated with early face perception (N170 component) and more elaborate stimulus evaluation (late positive potential). However, a modulation of fast emotional brain responses, typically found for human faces (early posterior negativity), was not observed. These findings suggest that neural processing of robot faces alternates between being perceived as mindless machines and intentional agents: people rapidly attribute mental states during perception, literally seeing good or bad intentions in robot faces, but are emotionally less affected than when facing humans. These nuanced insights into the fundamental psychological and neural processes underlying mind attribution can enhance our understanding of human-robot social interactions and inform policies surrounding the moral responsibility of artificial agents.

心理归因和情绪反应的相互作用被认为是塑造人类对社交机器人的信任和接受的关键。了解这种相互作用可以帮助我们创造合适的条件,使人类与机器人的社会互动与社会目标保持一致。我们的研究表明,描述机器人积极、消极或中性行为的情感信息导致参与者(N = 90)将心理状态归因于机器人的面孔,从而调节对可信度、面部表情和意向性的印象。来自30名参与者的脑电图记录显示,情感信息影响了大脑中与早期面部感知(N170成分)和更复杂的刺激评估(晚期正电位)相关的特定处理阶段。然而,没有观察到快速情绪大脑反应的调节,通常在人脸上发现(早期后验负性)。这些发现表明,对机器人面孔的神经处理在被认为是无意识的机器和有意识的代理人之间交替进行:人们在感知过程中迅速将精神状态归为一类,从字面上看到机器人脸上的善意或恶意,但在情感上受到的影响比面对人类时要小。这些对心智归因背后的基本心理和神经过程的细微洞察,可以增强我们对人类与机器人社会互动的理解,并为围绕人工代理的道德责任制定政策提供信息。
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引用次数: 0
期刊
Social cognitive and affective neuroscience
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