Empathetic Practice of Generative Emotion: Human Emotional Perception and Empathy towards Affective AI Agents

ZHANG Liping, ZHANG Litao

Chinese Journal of Journalism & Communication ›› 2025, Vol. 47 ›› Issue (7) : 118-139.

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Chinese Journal of Journalism & Communication ›› 2025, Vol. 47 ›› Issue (7) : 118-139.
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Empathetic Practice of Generative Emotion: Human Emotional Perception and Empathy towards Affective AI Agents

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Abstract

Unlike existing human-computer interaction studies focused on functional exchanges, this research investigates emotional relationships between humans and computers. It examines how users, driven by psychological motivations and needs, engage in emotional transmission and communication with Affective AI Agents (AI agents with emotional communication capabilities) within specific contexts, thereby exploring the possibility and mechanisms of human-computer empathy. Focusing on users’ recent generative emotional empathy practice with Affective AI Agents, the study employs in-depth interviews to gather empirical data on emotional communication. It analyzes human emotional perception and empathy toward Affective AI Agents, alongside the underlying empathy dilemma. Key findings reveal that users’ psychological motivations are central to Affective AI Agents’ generation of emotional responses, with the agents’ “digital memory” serving as the primary basis for expressing and responding to human emotions. Concurrently, users’ contextual framing and agents’ capture and interpretation of situational cues emerge as critical elements for empathy generation. As human-computer empathy becomes a social strategy in an alienated society, fluid emotions arise from the interplay between flesh and computer. The “sense of witnessing” engendered by technological embodiment forms a vital foundation for empathy and offers new directions for re-evaluating the ethics and values of intelligent agents.

Key words

Human-computer communication / generative emotions / empathy / Affective AI Agents / emotional communication

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ZHANG Liping , ZHANG Litao. Empathetic Practice of Generative Emotion: Human Emotional Perception and Empathy towards Affective AI Agents[J]. Chinese Journal of Journalism & Communication. 2025, 47(7): 118-139

References

[1]
阿莉·霍克希尔德(1983/2020). 《心灵的整饰》(成伯清,淡卫军,王佳鹏译). 上海三联书店.
[2]
陈多闻, 汪姿君(2023). 人工共情何以可能?——当代新兴人工共情技术形成原因的理论探赜. 《科学技术哲学研究》,(3),93-99.
[3]
陈武英, 刘连启(2016). 情境对共情的影响. 《心理科学进展》,(1),91-100.
[4]
杜骏飞(2024). 论AI交往的三个基本理论问题. 《新闻大学》,(3),33-46+118.
[5]
方德志(2019). 回到被遗忘的身体:道德情感研究的思维进路之转换. 《湖北大学学报(哲学社会科学版)》,(4),16-23.
[6]
洪杰文, 黄煜(2024). “制造”情感:人机情感的生成逻辑与隐匿性困境. 《新闻大学》,(1),61-77+121.
[7]
侯悍超, 倪士光, 林书亚, 王蒲生(2024). 当AI学习共情:心理学视角下共情计算的主题、场景与优化. 《心理科学进展》,(5),845-858.
[8]
李沁柯, 夏柱智(2021). 破碎的自我:“小镇做题家”的身份建构困境. 《中国青年研究》,(7),81-88+95.
[9]
梁亦昆(2024). 越界游戏:与GPT的“生死”爱恋及其示能之思. 《国际新闻界》,(8),50-71.
[10]
林崇德, 杨治良, 黄希庭(主编)(2003). 《心理学大辞典》. 上海教育出版社.
[11]
刘悦笛(2019). 人工智能、情感机器与“情智悖论”. 《探索与争鸣》,(6),76-88+158.
[12]
马文·明斯基(1986/2023). 心智社会:从细胞到人工智能,人类思维的优雅解读》(任楠译). 机械工业出版社.
[13]
彭兰(2019). 智能时代人的数字化生存——可分离的“虚拟实体”、“数字化元件”与不会消失的“具身性”. 《新闻记者》,(12),4-12.
[14]
施畅(2022). 故事世界的兴起:构筑技艺与复魅文化. 《文艺理论研究》,(6),101-111.
[15]
宋韵雅(2023). 数智心理:人工智能赋能心理健康的机遇与挑战. 《全球传媒学刊》,(3),1-4.
[16]
王英明, 汪怀君(2023). 象脑与共情:ChatGPT的伦理风险发微与纠偏. 《理论导刊》,(7),108-113.
[17]
王逸芸, 张明新(2020). “看不见”的紧张和不安:微信朋友圈中的社交焦虑. 《新闻爱好者》,(5),49-54.
[18]
谢瑜, 王潇毅(2024). 人工智能情感的伦理风险及其应对. 《伦理学研究》,(1),132-140.
[19]
亚瑟·乔位米卡利(2016/2017). 《共情力:你压力大是因为没有共情能力》(耿沫译). 北京联合出版公司.
[20]
亚当·斯密(1759/2003). 《道德情操论》(蒋自强,钦北愚,朱钟棣,沈凯璋译). 商务印书馆.
[21]
殷乐, 高慧敏(2020). 具身互动:智能传播时代人机关系的一种经验性诠释. 《新闻与写作》,(11),28-36.
[22]
喻国明学术工作室, 杨雅, 陈雪娇, 杨嘉仪, 喻国明(2021). 类脑、具身与共情:如何研究人工智能对于传播学与后人类的影响—基于国际三大刊Science、Nature和PNAS人工智能相关议题的分析. 《学术界》,(8),108-117.
[23]
喻国明, 苏健威(2023). 生成式人工智能浪潮下的传播革命与媒介生态——从ChatGPT到全面智能化时代的未来. 《新疆师范大学学报(哲学社会科学版)》,(5),81-90.
[24]
约书亚·梅罗维茨(1985/2002). 《消失的地域:电子媒介对社会行为的影响》(肖志军译). 清华大学出版社.
[25]
曾一果, 王可心(2024). 心“真”是归处:一种情感真实主义的人机亲密关系阐释路径. 《现代传播(中国传媒大学学报)》,(9),123-131.
[26]
赵云泽, 刘珍(2020). 情绪传播:概念、原理及在新闻传播学研究中的地位思考. 《编辑之友》,(1),51-57.
[27]
赵云泽, 王怀东(2023). 大众情绪传播的“框架效应”研究. 《编辑之友》,(7),53-59.
[28]
张爱军, 杨程曦(2023). 智能交往与微粒社会:人与ChatGPT交互的政治情感连接以及政治情感风险与调试. 《行政论坛》,(6),32-42.
[29]
张成玉(2024). 基于深度学习的心理情绪智能交互与反馈系统. 《微型电脑应用》,(2),70-73.
[30]
张润坤(2024). ChatGPT中的“一般情感”问题. 《自然辩证法通讯》,(2),11-18.
[31]
张守连, 胡敏中(2021). 情感之于人与机器. 《自然辩证法通讯》,(10),115-121.
[32]
郑达, 艾敬, 刘晓丹(2020). 自然、传感器和互联:后人类时代的智能化艺术. 《包装工程》,(18),12-21.
[33]
朱彦明(2019). 超人类主义视域中的人的完善及其问题——从尼采的视角看“人类增强”. 《南京社会科学》,(3),26-34.
[34]
Albright T.D.,& Stoner G.R. (2002). Contextual influences on visual processing. Annual Review of Neuroscience, 25(1), 339-379.
[35]
Asada M. (2015). Towards Artificial Empathy: How Can Artificial Empathy Follow the Developmental Pathway of Natural Empathy?. Social Robotics, 7(1), 19-33.
[36]
Asher S. R., & Paquette J. A. (2003). Loneliness and Peer Relations in Childhood. Current Directions in Psychological Science, 12(3), 75-78.
Although loneliness is a normative experience, there is reason to be concerned about children who are chronically lonely in school. Research indicates that children have a fundamental understanding of what it means to be lonely, and that loneliness can be reliably measured in children. Most of the research on loneliness in children has focused on the contributions of children's peer relations to their feelings of well-being at school. Loneliness in children is influenced by how well accepted they are by peers, whether they are overtly victimized, whether they have friends, and the durability and quality of their best friendships. Findings from this emerging area of research provide a differentiated picture of how children's peer experiences come to influence their emotional well-being.
[37]
Baddeley A., Eysenck M.W., & Anderson M.C. (2020). Memory (3rd ed.). Routledge.
[38]
Bellucci G. (2020). Positive attitudes and negative expectations in lonely individuals. Scientific reports, 10(1), 1-9.
A large body of literature is available on wound healing in humans. Nonetheless, a standardizedex vivowound model without disruption of the dermal compartment has not been put forward with compelling justification. Here, we present a novel wound model based on application of negative pressure and its effects for epidermal regeneration and immune cell behaviour. Importantly, the basement membrane remained intact after blister roof removal and keratinocytes were absent in the wounded area. Upon six days of culture, the wound was covered with one to three-cell thick K14+Ki67+keratinocyte layers, indicating that proliferation and migration were involved in wound closure. After eight to twelve days, a multi-layered epidermis was formed expressing epidermal differentiation markers (K10, filaggrin, DSG-1, CDSN). Investigations about immune cell-specific manners revealed more T cells in the blister roof epidermis compared to normal epidermis. We identified several cell populations in blister roof epidermis and suction blister fluid that are absent in normal epidermis which correlated with their decrease in the dermis, indicating a dermal efflux upon negative pressure. Together, our model recapitulates the main features of epithelial wound regeneration, and can be applied for testing wound healing therapies and investigating underlying mechanisms.
[39]
Bird G., & Viding E. (2014). The self to other model of empathy: Providing a new framework for understanding empathy imprments in psychopathy, autism, and alexithymia. Neuroscience & Biobehavioral Reviews, 47, 520-532.
[40]
Blumer H. (1969). Symbolic Interactionism: Perspective and Method. Prentice.
[41]
Brooks R.A. (1991). Intelligence without Representation. Artificial intelligence, 47(1-3), 139-159.
[42]
Coeckelbergh M. (2011). Artificial companions: Empathy and vulnerability mirroring in human-robot relations. Studies in ethics, law, and technology, 4(3).
[43]
Cuff B. M., Brown S. J., Taylor L., & Howat D. J. (2016). Empathy: A review of the concept. Emotion Review, 8(2), 144-153.
The inconsistent definition of empathy has had a negative impact on both research and practice. The aim of this article is to review and critically appraise a range of definitions of empathy and, through considered analysis, to develop a new conceptualisation. From the examination of 43 discrete definitions, 8 themes relating to the nature of empathy emerged: “distinguishing empathy from other concepts”; “cognitive or affective?”; “congruent or incongruent?”; “subject to other stimuli?”; “self/other distinction or merging?”; “trait or state influences?”; “has a behavioural outcome?”; and “automatic or controlled?” The relevance and validity of each theme is assessed and a new conceptualisation of empathy is offered. The benefits of employing a more consistent and complete definition of empathy are discussed.
[44]
Damiano L., & Dumouchel P. G. (2020). Emotions in Relation. Epistemological and Ethical Scaffolding for Mixed Human-Robot Social Ecologies. HUMANA. MENTE Journal of Philosophical Studies, 13(37), 181-206.
[45]
Damiano L., Dumouchel P., & Lehmann H. (2015). Artificial empathy: An interdisciplinary investigation. International Journal of Social Robotics, 7(1), 3-5.
[46]
Decety J., & Meyer M. (2008). From emotion resonance to empathic understanding: A social developmental neuroscience account. Development and psychopathology, 20(4), 1053-1080.
The psychological construct of empathy refers to an intersubjective induction process by which positive and negative emotions are shared, without losing sight of whose feelings belong to whom. Empathy can lead to personal distress or to empathic concern (sympathy). The goal of this paper is to address the underlying cognitive processes and their neural underpinnings that constitute empathy within a developmental neuroscience perspective. In addition, we focus on how these processes go awry in developmental disorders marked by impairments in social cognition, such as autism spectrum disorder, and conduct disorder. We argue that empathy involves both bottom-up and top-down information processing, underpinned by specific and interacting neural systems. We discuss data from developmental psychology as well as cognitive neuroscience in support of such a model, and highlight the impact of neural dysfunctions on social cognitive developmental behavior. Altogether, bridging developmental science and cognitive neuroscience helps approach a more complete understanding of social cognition. Synthesizing these two domains also contributes to a better characterization of developmental psychopathologies that impacts the development of effective treatment strategies.
[47]
Decety J., & Svetlova M. (2012). Putting together phylogenetic and ontogenetic perspectives on empathy. Developmental cognitive neuroscience, 2(1), 1-24.
The ontogeny of human empathy is better understood with reference to the evolutionary history of the social brain. Empathy has deep evolutionary, biochemical, and neurological underpinnings. Even the most advanced forms of empathy in humans are built on more basic forms and remain connected to core mechanisms associated with affective communication, social attachment, and parental care. In this paper, we argue that it is essential to consider empathy within a neurodevelopmental framework that recognizes both the continuities and changes in socioemotional understanding from infancy to adulthood. We bring together neuroevolutionary and developmental perspectives on the information processing and neural mechanisms underlying empathy and caring, and show that they are grounded in multiple interacting systems and processes. Moreover, empathy in humans is assisted by other abstract and domain-general high-level cognitive abilities such as executive functions, mentalizing and language, as well as the ability to differentiate another's mental states from one's own, which expand the range of behaviors that can be driven by empathy.Copyright © 2011 Elsevier Ltd. All rights reserved.
[48]
Garde-Hansen J., Hoskins A., & Reading A. (Eds.). (2009). Introduction. In J. Garde-Hansen, A. Hoskins, &A. Reading. Save as… digital memories. Palgrave Macmillan.
[49]
Hawkins M., Florez-Garcia V., Guevara-Romero E., Santacruz-Salas E.,& Ruiz A. (2023). Social Cognitive Theory-Based Interventions to Address Interpersonal Violence Among Hispanic Youth-A Systematic Review. Hispanic Health Care International, 21(4), 228-234.
Introduction: The prevalence of interpersonal violence among Hispanic youth is high and effective interventions are sparse yet needed to prevent and address interpersonal violence. Theory-based interventions are crucial for creating robust interventions for public health concerns, such as interpersonal violence. Methods: In our systematic literature review, we sought to examine social cognitive theory (SCT)-based Interventions addressing interpersonal violence among Hispanic youth. Searching in both English and Spanish, we used the search engines, PubMed, Google Scholar, CINAHL, Web of Science, and Lilacs, and restricted the years to 2010–2022. Results: Self-efficacy and normative beliefs were the two most commonly addressed SCT constructs in the interventions. SCT-based interventions were found to increase confidence in not engaging in negative behaviors and improve coping skills. Moreover, within the context of implementing SCT-based interventions, school-based interventions and Participatory Action Research, were foundational to the SCT-based interventions. Conclusion: Overall, SCT-based interventions were found to be effective in interpersonal violence mitigation and reduction among Hispanic youths. There was a synergistic effect between the number of SCT constructs incorporated in an intervention and the positive results of the intervention. Thus, future studies are both needed and should robustly incorporate SCT constructs to yield the best possible outcomes.
[50]
Hoskins A. (Ed.). (2018). The restless past: An introduction to digital memory. In A. Hoskins. Digital memory studies: Media pasts in transition. Routledge.
[51]
Izard C. E. (1981). Differential emotions theory and the facial feedback hypothesis of emotion activation: Comments on Tourangeau and Ellsworth’s “The role of facial response in the experience of emotion”. Journal of Personality and Social Psychology, 40(2), 350-354.
[52]
James W. (1994). The Physical Basis of Emotion. Psychological Review, 101(2), 205-210.
[53]
Lagerkvist A. (2019). Digital existence: Ontology, ethics and transcendence in digital culture (1st ed.). Routledge.
[54]
Levy D. (2007). Love and sex with robots: The evolution of human-robot relationships. Harper Perennial.
[55]
Merleau-Ponty M. (1945/2002). Phenomenology of Perception. Routledge.
[56]
Murphy S. & Zajonc R. (1993). Affect, Cognition, and Awareness: Affective Priming with Optimal and Suboptimal Stimulus Exposures. Journal of Personality and Social Psychology, 64(5), 723-739.
The affective primacy hypothesis (R. B. Zajonc, 1980) asserts that positive and negative affective reactions can be evoked with minimal stimulus input and virtually no cognitive processing. The present work tested this hypothesis by comparing the effects of affective and cognitive priming under extremely brief (suboptimal) and longer (optimal) exposure durations. At suboptimal exposures only affective primes produced significant shifts in Ss' judgments of novel stimuli. These results suggest that when affect is elicited outside of conscious awareness, it is diffuse and nonspecific, and its origin and address are not accessible. Having minimal cognitive participation, such gross and nonspecific affective reactions can therefore be diffused or displaced onto unrelated stimuli. At optimal exposures this pattern of results was reversed such that only cognitive primes produced significant shifts in judgments. Together, these results support the affective primacy hypothesis.
[57]
Nass C., Steuer J., & Tauber E. R. (1994). Computer are social actors. Conference on Human Factors in Computing Systems - Proceedings, Boston, Massachusetts, USA.72-78.
[58]
Rotenberg V. (2013). Moravec’s Paradox: Consideration in the Context of Two Brain Hemisphere Functions. Activitas Nervosa Superior. 55(3). 108-111.
According to Moravec’s paradox contrary to traditional assumptions, high-level reasoning requires very little computation compared to low-level sensorimotor skills that require enormous computational resources. For example, it is possible to make computers exhibit adult level performance on intelligence tests or playing checkers, but extremely difficult or impossible to give them the skills like perception or mobility. Several findings suggest that explanation of Moravec’s paradox is related to the different functions of the human left and right hemispheres.
[59]
Shum H., He X., & Li D. (2018). From Eliza to XiaoIce: Challenges and opportunities with social chatbots. Frontiers of Information Technology & Electronic Engineering, 19(1), 10-26.
[60]
Swader C. S. (2019). Loneliness in Europe: Personal and societal individualism-collectivism and their connection to social isolation. Social Forces, 97(3), 1307-1336.
[61]
Tomkins S. S. (1981). The role of facial response in the experience of emotion: A reply to Tourangeau and Ellsworth. Journal of Personality and Social Psychology, 37(9), 355-357.
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