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14 December 2025

From Technological Alienation to Spiritual Homecoming: Zhuangzi’s Affective Philosophy in Conversation with Western Emotion Theories

School of Marxism, Central China Normal University, Wuhan 430079, China
This article belongs to the Special Issue The Modern Reception and Interpretation of Daoism in East Asia and the West: A Comparative Perspective (19th–21st Centuries)

Abstract

As emotion becomes increasingly digitized, there is a growing risk that computational systems may overreach, shaping or managing affect in ways that undermine human autonomy. This study builds a cross-cultural dialog between Daoist affective philosophy and Western theories of emotion to address this problem. By comparing their assumptions about emotional life—what emotions are, how they should be guided, and what counts as appropriate intervention—the paper develops a set of ethical principles for the design of affective technologies. Through textual analysis and a historical–conceptual review, the study identifies three safeguards drawn from Daoist thought—minimality, autonomy, and reversibility—and translates them into practical guidance for data use, system behavior, and user interaction. A brief case from Finland’s well-being initiatives illustrates how these principles can redirect technological design toward supporting inner balance and self-directed regulation rather than external control. The paper’s contribution lies in offering a clear boundary ethics for affective computing, showing how Daoist ideas of moderation and self-cultivation can help prevent emotional alienation while still allowing technological systems to enhance human well-being.

1. Introduction

In contemporary society—especially amid rapid technological advances and accelerating digitization—modern individuals face a profound spiritual crisis. For example, the swift development of artificial intelligence has fostered an overreliance on technology (Klingbeil et al. 2024), giving rise to problems such as emotional alienation (Li 2023) that leave the inner life in distress. Confronted with this crisis, it is necessary to seek effective remedies, particularly by drawing wisdom from traditional philosophies and intellectual traditions.
As an indigenous Chinese religion and philosophical tradition, Daoism possesses rich spiritual resources and philosophical reflection. Since around the 1970s, it has gradually gained traction in the West and come to be included among the “world religions” (Lebranchu 2024). Long noted for its diverse forms and extensive content (Guo 2024), Daoism’s inherent openness and plasticity enable it, within the broader modernization of Chinese philosophy, to renew itself around humanistic values and answer contemporary concerns.
Yet in recent years, many literary and cinematic works have offered theological readings of Daoism, leading to misunderstandings and simplifications of its genuine philosophical ideas (Sun 2023). To avoid conceptual overgeneralization, it is important to note that although Daoism encompasses diverse philosophical and religious traditions, the present study focuses specifically on the emotional philosophy articulated in the Zhuangzi, which represents one influential strand within early Daoist thought. In fact, earlier scholarship generally emphasized that Daoism aims at harmony with nature and articulates this ideal across natural, social, and spiritual dimensions (Miller 2012, pp. 283–309). However, recent studies have substantially complicated this conventional “harmony” paradigm. Tophoff (2022) demonstrates that harmony emerges through multilayered interactions among natural patterns (自然, ziran), social institutions, and religious cultivation, thereby moving beyond simplified eco-romantic interpretations. Ames and Hall (2003, pp. 176–78) extends this perspective through the “reversing nature” thesis, arguing that cyclical processes of reversal and renewal generate harmony, with imbalance functioning as a productive rather than pathological state, cultivation practices such as xinzhai (“fasting of the mind”) and zuowang (“sitting in forgetfulness”) seek to clarify intention and harmonize vital energies, thereby enabling self-regulation and transformation of emotional responses (Matthyssen 2024). Zhuangzi’s philosophy outlook—presenting one major strand within Daoist thought—focuses on concord between humans and nature, inner spiritual attunement, emotional self-regulation, and the transcendence of worldly desires—especially through the ideals of wuwei (non-coercive action/governance) and following the course of nature (Chan 2018, pp. 1–37). This approach to emotional regulation may offer a distinctive perspective for emotion management and psychological adjustment in modern Western philosophical culture.
Therefore, a proper understanding of Zhuangzi’s affective philosophy (as one influential Daoist strand) is crucial. The issue involves not only the cultural transmission of Zhuangzi’s thought but also the practical application of cross-cultural philosophical insights, particularly amid today’s complex social and psychological conditions. To lay the groundwork for this discussion, this article first foregrounds the etymological histories of key terms to clarify the meanings of emotion-related concepts in Chinese and Western contexts. The second part introduces the Daoist conception of emotion and then, through comparative analysis, examines conceptions of emotion in modern Western thought. Finally, by staging an in-depth dialog between Daoist and Western emotion theories, the article offers new insights for addressing the spiritual crisis produced by technological alienation in contemporary Chinese and Western societies.

2. Zhuangzian Affective Philosophy and Its Conceptual Foundations

Zhuangzi’s affective philosophy is rooted in a distinctive cultural–intellectual milieu that emphasizes harmony with nature, inner self-regulation, and the transcendence of worldly constraints. In many respects, it differs sharply from Western emotional frameworks, while still offering points of contact for productive dialog. At its center lies a broadly naturalistic orientation: our innate, unforced, and authentic affective stirrings—the guqing (故情) that Zhuangzi describes—are seen as spontaneous expressions of the Dao. The ideal is not the elimination of emotion, but its purification from utilitarian calculation and social conditioning, allowing it to flow naturally in attunement with changing life circumstances. As the Zhuangzi teaches, one should “have no praise and no blame, be dragon when needed and snake when needed, transform with the times without clinging to any single form” (Zhuangzi 1968, pp. 85–95). This points toward an emotional paradigm grounded in spontaneous responsiveness to the world, distanced from instrumental striving or socially scripted performance. While later religious Daoism developed a wide range of meditative, ritual, and alchemical practices, the present study refers to such techniques only insofar as they illuminate philosophical themes already found in the Zhuangzi. In this article, the analysis focuses specifically on the Zhuangzian strand of Daoist thought rather than Daoism as an institutional religion.
However, any contemporary philosophical analysis of classical Daoism must begin by acknowledging the complex textual layers and authorship issues within the Zhuangzi. Modern scholarship—based on the philological and textual-historical analyses of Hall and Graham (1984) and the stratification study of Liu (1995, pp. 3–38)—generally holds that the text is a composite anthology, produced by various thinkers of the Zhuangzi school from the Warring States to early Han, rather than the work of a single author. Scholars such as Liu (1995) have shown—through conceptual and philological studies—that the text reflects at least three major ideological strata:
(1) The Inner Chapters, widely regarded as expressing the core of Zhuangzi’s thought, emphasizing “wandering,” “equalizing things,” and the transcendence of socially conditioned emotions through the paradoxical notion of “emotionless emotion” (wuqingzhiqing, 无情之情).
(2) The Outer and Miscellaneous Chapters, likely written by disciples or later editors, exhibit more heterogeneous positions; some chapters (e.g., “Robber Zhi” (《盗跖》, daozhi)) treat emotion in more concrete social terms and at times stand in tension with the transcendental orientation of the Inner Chapters (Zhuangzi 1968, pp. 295–314).
This distinction is crucial for affective-philosophical analysis. Without such differentiation, it is easy to flatten the internal conceptual diversity of the Zhuangzi, obscuring its dynamic spectrum—from the Inner Chapters’ celebration of transcendental spontaneity (le, 乐) to the more grounded depictions of human emotion in the later strata.
To ensure both textual reliability and philosophical depth, this study draws on recent interpretive approaches together with the latest textual findings. This serves two goals: (1) to deepen our understanding of Daoist affective concepts, and (2) to provide a rigorous framework for navigating the internal complexity of the Zhuangzi corpus.
For the first goal, we rely especially on Fraser’s (2024, pp. 52–55) translation, noted for its philosophical acuity. His interpretive choice to render Dao in some contexts as “Darwinian”—rather than the conventional “Way (道路)”—highlights its spontaneous, purposeless, yet fecund generativity, offering a fresh perspective for understanding Daoist naturalness and non-coercive affectivity. Likewise, Ziporyn’s reading of “xinzhai” (心斋, fasting of the mind) as “letting the mind abandon its habitual coordinate-center” insightfully links emotional purification with a fundamental shift in cognitive orientation.
For the second goal—establishing a more precise textual foundation—Fraser’s (2024, pp. 55–57) Oxford World’s Classics translation provides indispensable support. Its extensive introduction and notes synthesize recent global scholarship, clarifying debates on textual dating, authorship, and thematic coherence, while carefully distinguishing the conceptual lineages of the Inner, Outer, and Miscellaneous Chapters. This enables the chapter-by-chapter, historically sensitive approach adopted in this study.
In parallel, the research incorporates authoritative Chinese editions to correct the earlier lack of engagement with contemporary Chinese scholarship. Chen’s Zhuangzi (Chen 2016): Modern Annotation and Translation is one of the most widely used modern commentaries, offering clear interpretations of emotional passages in chapters such as “Qiwulun (《齐物论》)” and “Dechongfu (《德充符》).” Wang Shumin’s Zhuangzi Critical Edition provides philological precision (Wang 2007), especially in analyzing key terms such as qing (情), qi (气), and hua (化). By integrating leading Chinese and Western scholarship, this study constructs an analytical framework that is both historically sensitive and philosophically robust.
At its core, the Daoist view is broadly grounded in a naturalistic orientation. As Zhuangzi (1968, p. 115) puts it, one should “not be an embodier of fame, not a storehouse of schemes, not the bearer of official duties, not the master of clever knowledge; let one’s embodied capacity exhaust the inexhaustible and wander without trace, fulfilling what is received from Heaven without clinging to gain, remaining empty.” This passage highlights wuwei (无为, non-coercive action/governance) as the highest joy: only in wuwei are there no anxieties and no fears; by acting without forcing, the mind roams freely beyond entanglement, becoming at one with the myriad things. Human attachment to preferences—loving life and hating death—stems from partiality; only by laying aside both extremes and returning to wuwei does the heart become light, clear, and quietly joyful. Wuwei is not escapism but a disciplined clarity and inner harmony amid a shifting, conflict-ridden world. Zhuangzi, weary of contention, therefore entrusted himself to stillness and emptiness. To be human is to think, to know, to act—and also to have desires; these are gifts of nature and should be followed in their spontaneous course rather than allowed to enslave us. In this sense, Daoist affective philosophy reframes emotional life as attunement and gentle self-cultivation—often exemplified by practices like “zuo wang (坐忘, sitting in forgetfulness)”—offering a counterpoint to control-oriented models and a complementary horizon for cross-cultural conversations about emotion.
First, Daoist affective philosophy foregrounds conformity to the patterns of nature. Daoist affective philosophy foregrounds alignment with the patterns of nature, emphasizing spontaneity, balance, and attunement. As Laozi states, “People follow the earth; earth follows heaven; heaven follows the Dao; the Dao follows what is natural” (Laozi [1891] 2021, chaps. 1, 37, 48). In practical terms, emotional life is best approached by letting feelings flow naturally, avoiding excessive striving or suppression. The practices, such as zuowang, cultivate this spontaneous alignment, allowing the practitioner to release habitual attachments, relinquish overthinking, and restore a natural equilibrium of heart-mind energies. Emotions, in this sense, are not controlled or forcibly modulated, but arise in harmony with the Dao, following their natural course. Daoism thus stresses a harmonious unity between humans, nature, and the cosmos, and holds that emotional expression should be spontaneous rather than contrived. Human feelings are best allowed to flow freely—unfettered by excessive will—aiming at a state of wuwei: following the natural course, minimizing grasping, and doing less rather than more. This orientation stands in sharp contrast to strands of Western thought that prioritize control, normalization, or strategic regulation of emotion.
Second, in Daoism, emotion is not merely an outward reaction but an inward circulation of vital energies. In Daoism, emotions are understood as dynamic flows of vital energy rather than mere outward expressions. Daoist cultivation aims to regulate and harmonize affective states through inward attentiveness, meditation, and breath practices. Livia Kohn emphasizes that Daoist techniques—especially those associated with inner alchemy—train practitioners to refine their emotional and spiritual energies, transforming reactive impulses into equanimity and clarity (Kohn 1956, pp. 45–52). Such practices exemplify “self-cultivation through non-interference” (wuwei), in which affective regulation is achieved internally rather than imposed externally. The outcome is a balanced heart-mind that experiences emotions fully, yet remains unbound by extremes of attachment or aversion.
The Daoist path seeks to modulate and transform affect through cultivation and inward attentiveness—practices such as meditation, breath work, and neiguan (内观, inner observation)—so that emotions neither flare into excess nor harden into repression. Through the discipline of “having no desires” and “seeking nothing,” the individual can attain equanimity and affective harmony. Unlike Western approaches that often emphasize suppression or overt expression, Daoism privileges self-regulation and inner balance over external control.
Finally, Daoism counsels the transcendence of attachment to emotions themselves. Daoist teachings encourage the transcendence of both attachment to external incentives and fixation on emotions themselves. Kohn explains that zuowang enables “forgetting the self” (wangwo, 忘我), dissolving ego-centered patterns that distort affective experience. Similarly, Pregadio situates desirelessness (wuyu, 无欲) as a core principle for achieving affective clarity: by loosening cravings and letting go of compulsive striving, individuals cultivate equanimity and spontaneous responsiveness (Kohn 1956). In the context of contemporary digital emotional labor, these practices suggest a conceptual framework for resisting performative emotional demands, reclaiming subjective agency, and fostering authentic engagement with one’s own affective life. Emotions are not denied but gently observed, allowed to arise and dissipate without coercion, producing a naturally spacious and free state of mind.
Daoist teachings on “wangwo” (忘我, forgetting the self) and “wuyu” (无欲, desirelessness) offer a foundational philosophical lens for understanding resistance to the alienation of emotional labor in digital platform economies. In the Tao Te Ching, Laozi states: “Always without desire, one can observe the subtle; always with desire, one can observe the manifested” (Laozi [1891] 2021, p. 62). This principle suggests that only by loosening attachment to external incentives and emotional fixation can individuals return to an authentic and uncoerced state of being. Similarly, the Zhuangzi elaborates the practice of “zuowang” (坐忘, sitting in forgetfulness), describing it as: “Letting fall the body, dismissing understanding, leaving form behind, and casting off knowledge—this is what it means to be in harmony with the Great Way” (Zhuangzi 1968, p. 115). Such ideals articulate a mode of subjectivity that resists being shaped by instrumental demands or algorithmically induced emotional performances. In the context of digital emotional labor, these Daoist notions illuminate a possible pathway for laborers to transcend performative affect, reclaim inner autonomy, and counter the subtle disciplinary operations embedded in platform governance. In contrast to Western currents that valorize expressive release or culturally coded displays of feeling, Daoism treats emotions as integral to the heart-mind yet cautions against magnifying or stifling them at extremes. The aim is poised ease—an unforced, spacious composure in which emotions arise and pass without bondage, allowing one to dwell in naturalness and freedom.

3. The Genealogy of Western Emotion Theory

Regarding the emergence and evolution of the concept of “emotion,” we can broadly distinguish three stages: (i) an exploratory–speculative phase from ancient Greece through the European Renaissance (to the sixteenth century); (ii) a scientifically inclined “Enlightenment” phase running from seventeenth-century France into the decades surrounding the birth of scientific psychology (seventeenth to late nineteenth century); and (iii) a modern phase, after the establishment of scientific psychology, marked by deep integration with physiology, neuroscience, and information technology (late nineteenth century to the present). In the first phase, classical philosophy situates emotion within a “soul–virtue” framework. Plato’s tripartite model of the soul explains emotions as tensions among psychic parts and emphasizes the governance and cultivation of affect by reason (Knuuttila 2004, p. 153). Aristotle further conceives emotions (pathē) as states of the soul linked to cognitive appraisal, bodily alteration, and action tendencies, highlighting their normative role in ethical practice and civic life, including rhetoric and habituation under practical wisdom (Wetherell 2012, pp. 141–62). By contrast, the Stoics hold that passions arise from erroneous value judgments; through rational correction, they can be overcome, so that the sage attains apatheia (freedom from passion) and cultivates eupatheiai (good or well-regulated emotions) consonant with the good life. This classical paradigm—purifying and reforming affect under reason—provided the template for medieval theological virtue, traditions that moralized and disciplined emotion, and it continued to inform Renaissance humanist reinterpretations of the ancients on the threshold of the early modern era.
In the second phase, early modern and Enlightenment thought emancipated emotion from metaphysical-theological strictures and redirected inquiry toward first-person experience, moral judgment, and systematic accounts of mind–body processes. Descartes identified six “primitive passions”—wonder, love, hatred, desire, joy, and sadness—bringing affect under analyzable psychological mechanisms and linking it to mind–body interaction (Descartes 1989, pp. 337–43), thereby inaugurating a modern program of classification and mechanization. Spinoza (2017, p. 11) explained joy, sadness, and desire through conatus (the striving to persist), recasting passions as modulations of one’s power of acting that can be understood and transformed within networks of causation and rational understanding. Hume (1896, pp. 310–96) placed sympathy/empathy at the core of moral evaluation, highlighting the social circulation of sentiments and their capacity to generate norms. Kant (2006, pp. 150–70) distinguished affect from passion and identified “respect” as a distinctive feeling occasioned by the moral law itself, thereby reassessing the normative standing of emotion amid the tension between reason and feeling. Collectively, these projects reframed affect as a describable, assessable, and cultivable resource of subjectivity—amenable to training and critique—while furnishing operational concepts (taxonomy, mechanism, appraisal, sympathy, autonomy) that prepared a workable conceptual toolkit for subsequent experimental psychology and physiology.
The third phase begins with the establishment of scientific psychology in the late nineteenth century and continues to the present, advancing along three intertwined lines of naturalization, experimentalization, and engineering. Darwin ([1872] 2000, pp. 40–70) argued that humans possess a set of general facial expressions—pain/distress, crying, joy, hatred, anger, and more—and, on this basis, further analyzed the emotions, cognitive processes, and physiological manifestations associated with these expressions, a program often taken as the modern starting point for scientific research on affect and behavior. As modern biomedicine matured, neuroscientific studies of the brain mechanisms of emotion made rapid progress. Building on the naturalistic and experimental strands, Paul Ekman (1992) proposed what has widely been treated as a cross-cultural “basic emotions” set—happiness, sadness, anger, disgust, surprise, contempt, and fear—supported by systematic coding of facial action. In parallel, laboratory psychology refined mechanistic accounts (e.g., James–Lange’s “perception of bodily change,” Cannon–Bard’s central parallel processing, and Schachter–Singer’s two-factor model that integrates arousal with situational appraisal), dimensional models (e.g., Wundt; later Russell’s valence-by-arousal circumplex), and appraisal theories (e.g., Arnold, Lazarus) that link meaning evaluation to action readiness (e.g., Frijda) and multi-component processing (e.g., Scherer). Affective neuroscience (e.g., Panksepp, LeDoux, Damasio’s somatic marker hypothesis) tightly couples body, brain, and decision. Entering the information age, computational ontologies and rules (e.g., the OCC model) and, crucially, Picard’s (1997, p. 3) explicit definition of “affective computing” integrated sensing, recognition, generation, and regulation of emotion into human–computer interaction and intelligent systems, ushering in an era of engineered emotional intelligence—now extended by multimodal sensing and machine learning, yet accompanied by debates about universality and construction (e.g., Barrett) and by emerging concerns over privacy, ethics, and governance.

4. From Technological Alienation to Spiritual Return: Cross-Cultural Dialog

Taken together, a purely historiographical survey cannot answer the decisive choices facing contemporary emotion technologies and social governance. In this section, we will move from a literature review to a comparative analysis. The section consists of a two-dimensional matrix. The horizontal axis shows four common dimensions: ontology, normativity, epistemology, and socio-technical practice. On the vertical axis, the Daoist concept of “internal modulation—qi balance—minimal intervention” is contrasted with the Western concept of “evaluation—neural network—calculations—control.” The aim of the chapter is not to find unambiguous equivalents. The analysis examines how each tradition responds to the same questions: how should emotions be understood, directed, and regulated? Based on this, the chapter establishes the limits of technology and institutional activity.

4.1. Theory of Emotions Dialog

Since the Renaissance, many strands of Western thought have emphasized the expression and freedom of individual emotion—Lockean and Rousseauian currents among them. By contrast, Daoism inclines toward moderation and inner harmony, advocating self-transcendence through cultivation so as to reduce outward display. Western societies also foreground the sociality of emotion—its role in forging bonds and legitimizing freer, more democratized expression—whereas Daoism urges detachment from fixation on affect and desires, privileging inward quietude and desirelessness. In modern emotional philosophy, “freedom” is often situated within rational frames that regulate expression and management (e.g., Stoic motifs). Daoism, by contrast, stresses the natural flow of affect and its refinement through inner practice and attunement rather than external rational control. As Western modernity matures, emotion is increasingly treated as an object to be controlled and managed—an orientation that collides with Daoist wuwei; Western models can appear overly rationalized and standardized, while Daoism emphasizes intuition and spontaneity. Western thought posits a self that discloses itself outwardly and realizes freedom through expression. Daoism posits a self that becomes more itself by withdrawing from emotional proliferation. For the West, authenticity is externalized; for Daoism, authenticity is inwardly achieved. This leads to two distinct emotional ontologies: one relational and expansive, one centering on inner equilibrium and restraint.
In a technological society, emotional theory often centers on social interaction—emotional labor, platformized demands, and so forth—casting emotion as a bridge between persons and a tradable resource. In Daoist thought, however, emotion functions primarily as a medium of personal cultivation and transcendence; social interaction is secondary to self-adjustment and inner calm. Hence, the Western commodification and socialization of affect under consumer culture has no straightforward analog in Daoism, which stresses inward practice and release from attachment.
Because Western discourse frames emotion as a resource for connection and exchange, modern technologies tend to translate relationality into capturable signals and optimizable targets: emotion is quantified into features of facial expression, vocal prosody, physiological indices, and interactional traces, then routed through pipelines of recognition, prediction, and control. By contrast, Daoism centers “inner harmonization and self-cultivation,” understanding affective stirrings as the natural coursing of heart-mind and qi within circumstances, and prescribing practices such as shouzhong (守中, keeping the middle), guayu (寡欲, paring back desires), xinzhai (心斋, fasting of the mind”), and zuowang (坐忘, sitting in forgetfulness) to realize self-regulation. This stance suggests that, even as we pursue “what can be recognized/intervened,” we must also institute a design ethos of “when not to intervene, and to what degree,” incorporating du (度, appropriate degree), shi (时, timing), shi (势, situation/affordance), and zi (自, agent self-determination) as basic constraints.
However, a rigid dichotomy between ‘natural flow’ and ‘control’ risks oversimplifying both traditions. Daoist rituals, for instance, include stylized emotional expression aimed at aligning the individual with cosmic rhythms, demonstrating that its ziran is often a cultivated achievement rather than raw impulse. Conversely, post-Stoic Western traditions, such as the Romantic movement, deeply value moderated spontaneity and authentic emotional expression that arises from within, challenging the notion that Western thought is solely about external control. Recognizing these hybrid cases and internal nuances prevents the comparison from becoming overly schematic and opens up space for a more integrative approach. For affective computing, this implies that the goal is not to choose between Daoist ‘flow’ and Western ‘management,’ but to find a synthesis: designing systems that can respect and facilitate inner harmony while providing structured, respectful support for social and emotional functioning when explicitly desired and appropriately bounded.
On this basis, the chapter moves from theory to practice. The chapter traces affective computing from symbolic rules to deep learning. The chapter then turns to generative, context-adaptive systems. The chapter also reflects through a Daoist lens on ethical limits and human aims.
Since Picard (1997), researchers have brought this subtle layer of human life into code and data. Affective computing draws emotion into computation and datafication. Algorithmic breakdown and measurement lift emotion out of everyday relations and place it inside human–machine interaction. Simulation and analysis blur the line between people and machines. These methods also reshape how we value emotion. Private and singular feelings become things that systems can simulate, operate on, and even commodify. From a Daoist perspective, such abstraction can be legitimate—supporting insight and self-reflection—but when simulation and control overreach into “substitution” and “driving,” they disrupt the zhong (inner mean) and risk excessive intrusion upon subjectivity. Hence, across data collection, representation, inference, and feedback, systems should institute stop-loss thresholds—no overreach, revocability, and recoverability—so that assistance does not slide into domination.
In the twenty-first century, technology increasingly presses affective experience into storable, transmissible, and tradable “standing-reserve.” Philosophy of technology thus warns of affective alienation: in machine-mediated life, emotions are commodified, instrumentalized, virtualized, and estranged from felt authenticity. Daoism converges with this concern: wary of proliferating desire, it advocates shaosi guayu (少私寡欲, fewer self-interests, fewer desires) and inward reflection, pairing this with wuwei’s “minimal necessary intervention” to counter escalating external control. In engineering terms, this yields three de-alienation paths: Minimality—collect and intervene only to the extent needed for clearly beneficial ends; Autonomy—maintain self-determination via informed consent, on-device processing, and explainable feedback; Reversibility—ensure that affective data and model memories are revocable and time-limited, preventing long-term disciplining by “technical memory”.
Emotions matter for rational and intelligent behavior: they calibrate salience and value, modulate attention and perception, consolidate memory, and shape social bonds. Daoism does not deny this, but urges “reaching emotion without excess,” acknowledging affect as a function of the heart-mind while restraining its overreach by balance. Translated into engineering language, this implies virtue-like hyperparameters—interpretable, user-tunable settings for intervention intensity, feedback rate, and individual thresholds—so systems do not single-mindedly maximize short-term utility at the expense of long-run balance.
Damasio (1994, pp. 52–70) argues that decision systems without emotion become dull. Such systems cannot link salience with value. Picard (1997, pp. 1–6) therefore recommends giving computers the ability to recognize and express affect. This capacity can make interaction feel more natural.
A Daoist view accepts this upgrade only with boundary ethics.
  • Minimal necessity. Designers should add affect modules only for a small, clearly defined set of public goods, such as safety, health, or education.
  • Explainability and revocability. Systems should tell users why they appear to “have feelings,” and users should be able to withdraw, disable, or erase related memories at any time.
  • Context-fit and keeping the mean. Systems should match affect to concrete situations and individual differences, and systems should avoid one-size-fits-all, high-intensity interventions.
  • Autonomy and informed consent. Governance should secure choice, local computation, and privacy so that users lead emotion and technology does not overstep.
These norms map onto the pipeline in clear steps. At the data layer, designers should limit granularity and retention. At the model layer, engineers should embed threshold, throttle, and stop mechanisms. At the interaction layer, interfaces should offer silent, low-sensitivity, and opt-out modes. At the governance layer, institutions should keep audit trails and provide clear avenues for appeal.
This integrated framework—emerging from a critical dialog between Western techno-social paradigms and Daoist wisdom—aims not to reject affective technology outright, but to guide it toward a more humane and respectful future, one in which technological systems support emotional life without usurping its inherent, self-cultivating nature. At the same time, however, framing the contrast simply as “natural flow” versus “control” risks reducing both traditions to overly rigid categories. Daoist practices themselves include disciplined, stylized modes of emotional cultivation, while post-Stoic Western traditions make space for moderated spontaneity and context-sensitive expression. Recognizing such hybrid cases not only avoids schematic oppositions but also strengthens the integrative ethos of the framework: effective emotional technologies should neither suppress spontaneity nor impose rigid regulation, but instead navigate the nuanced middle ground where guidance, balance, and individual autonomy can coexist.

4.2. Case Study

In today’s era where emotions, technology and governance are intertwined, individual sentiment analysis alone is insufficient to comprehensively gauge societal well-being. To address this challenge, this paper proposes a ‘Happiness Index’ centered on subjective well-being. In the technological age, the most typical data-driven manifestation of emotion within technological society is the happiness index. Constructed from large-scale survey data, this index translates personal life assessments and emotional equilibrium into comparable group metrics. It combines short-term emotional fluctuations with long-term life satisfaction, achieving a dual-dimensional portrayal of societal emotional states. This renders happiness a measurable indicator with public significance. Furthermore, the index establishes a universal framework for emotional theory and social governance, serving both conceptual and practical functions. It enables researchers to examine how institutions influence collective emotional environments while providing boundary norms for technological design concerning emotion recognition and regulation.
From a governance philosophy perspective, Nordic policy orientations resonate deeply with the cross-cultural concept of ‘boundary ethics’ emphasized in Zhuangzi’s affactive philosophy. Daoism advocates respecting the natural growth of phenomena, avoiding coercive external shaping, and maintaining overall order through minimal intervention—a principle interpretable in modern governance as ‘minimally invasive governance’. The Nordic governance model embodies precisely such principles: rather than relying on intensive emotional discipline or behavioral control to shape citizens, governments enable individuals to achieve self-regulation within their natural developmental rhythms by providing reliable public services, fostering high-trust environments, and safeguarding full autonomy. This ‘light intervention-high trust’ governance logic forms an ethical intertextual relationship with the Zhuangzian emphasis on non-action, autonomy, and inner harmony, providing a robust theoretical foundation for transitioning from philosophical stance to policy analysis. Given this alignment, selecting Finland as a case study holds significant importance. On the one hand, Finland’s long-standing position at the top of global happiness indices provides rich and reliable empirical data for research. On the other hand, Finland’s ‘engineered happiness’ system rests upon three pillars: high levels of social trust, a comprehensive public service framework, and ample personal autonomy. This model, centered on institutional flexibility, social trust, and individual self-realization, contrasts with the Daoist emphasis on the Way of Moderation: Daoism values inner harmony and unity, advocates for minimal desires and avoidance of extremes, and pursues a balanced state of unity between humanity and nature. The value resonance between these two approaches not only provides cultural and philosophical underpinnings for policy analysis of happiness indices but also demonstrates how affective governance can establish appropriate ethical boundaries between technology and culture.
The happiness index consists of two interrelated tiers: an objective layer assessing structural conditions (income, health, education, public services) and a subjective layer capturing individuals’ evaluations of life satisfaction and emotional well-being. From the standpoint of experiential well-being, these indicators reflect not only material circumstances but also relational expectations and affective responses to perceived gains and losses in everyday life.
A Daoist perspective reframes this structure through the principles of shouzhong, guayu, and the cultivation of affective harmony. Rather than equating well-being with the accumulation of external goods, Daoism locates happiness in the stabilization of emotional rhythms and the avoidance of excessive attachment. In this sense, the index can also be read as measuring the extent to which social conditions support or disrupt this equilibrium.
The index’s two-tier architecture implicitly embodies the Daoist ethics of du (度, appropriate measure) and wuwei: it balances rather than maximizes, guides without prescribing outcomes, and provides information without dictating emotional states. This alignment creates a conceptual bridge to governance models that privilege restraint, proportionality, and human-centered support.
As Hume famously observed, “the goal of all human endeavors is to attain happiness” (Hume 1896, p. 11). Finland’s repeated ranking as the world’s happiest nation reflects this orientation (El Morr 2022). Its success is closely tied to the integration of human-centered digital systems designed to enhance personal capability and reduce unnecessary social stress. The 2022 Finnish AI Strategy articulates this through the “AI lenses” approach, which aims to help citizens navigate social situations without imposing collective obligations or behavioral scripts.
This strategy resonates with Daoist principles: wuwei as “acting only to the necessary extent,” du as calibrated intervention, and zi (自, self-direction) as respect for individual agency. Finland operationalizes these values through the “Situation–Task–Resource” model (Franssen et al. 2009), which delivers support that is timely, situationally attuned, and individually tailored. Inter-agency collaboration, proportional data use, and calibrated service boundaries further reflect the Daoist injunction to “do only what is essential,” ensuring systems are informative but not coercive, predictive yet non-controlling.
From the viewpoint of happiness theory, two major Western models offer a “measurable” emotional structure for this policy-technology path. Seligman’s PERMA model. (Positive Emotions, Engagement, Positive Relationships, Meaning, Accomplishment) stresses how positive feelings and social bonds work together (Seligman 2011, pp. 15–20). Peterson’s “Good Life” model focuses on four elements: “Love—Happiness—Contribution—Meaningful Work,” placing selflessness and service at the center (Peterson 2013, pp. 3–18).
In contrast, Daoist emotional thought does not deny the value of positive emotions and social bonds for well-being, but places greater emphasis on “expressing emotions without excess” and inner harmony: emotions should flow naturally (the natural circulation of “emotion-qi”), using “mental fasting and sitting in forgetfulness” to dissolve excessive attachment, and avoiding mistaking externally optimizable metrics like “engagement rate or dwell time” as the essence of happiness. In other words, Western models provide quantifiable tools for ‘how to measure’, while the Daoist offers ethical limits for ‘how to set boundaries’: in technical design, shift the objective function from ‘accuracy/stickiness’ to ‘harmony/resilience/autonomy’. Intervention strategies adhere to the “minimum necessary ladder,” defaulting to non-escalation; data governance prioritizes edge computing, purpose-binding, and revocability; interaction paradigms “offer without imposing,” preserving peer-to-peer options like “decline—postpone—explore.”
Moreover, the technical tools for the happiness index are primarily divided into two parts: the CDT (Chatbot) paradigm and the HCAIT (Healthcare Information Technology) technical model.
Finland’s Citizen Digital Twin (CDT) is a core socio-digital model whose motivation is to build a foundational data-access and algorithmic platform that helps citizens more conveniently manage life events; in short, it is a service-first system through which people can use government-provided data to adjust or sustain their preferred ways of living, functioning both as a rights-protecting access layer and as a public-service orchestrator for concrete life episodes.
From a technical perspective, CDT creates proxy models by modeling citizen data, thereby generating images of an individual’s life trajectory. These images can integrate subjective self-reports with objective datasets, providing guidance for decision-making in uncertain situations. From a Daoist viewpoint, the core principle lies in human-centered interaction: CDT should support reflection without suppressing personal agency, prioritizing inner harmony over behavioral guidance.
This entails:
(i)
Minimal intervention—future images suggest options, not force choices.
(ii)
“Due measure” (度) and timing (时)—prompts assist rather than pre-decide.
(iii)
Adaptation to context (势) and self-determination (自)—users control intensity, frequency, and data detail.
(iv)
Governance by design—limits on purpose, minimal data use, revocability, and auditability to prevent misuse.
Finland’s Human-Centered AI Transformation (HCAIT) applies CDT to treat citizens as active participants in shaping social futures. Its AI-generated images illustrate possible societal paths while respecting Daoist principles: providing options without coercion, emphasizing inner harmony, and embedding governance safeguards. This approach fosters well-being through choice and reflection, rather than through externally imposed outcomes.
Yet from a Daoist perspective on emotion and self-cultivation, this “accelerated futures” model requires clear ethical boundaries. Daoist principles highlight that such tools should assist reflection rather than steer decisions, preserving the user’s inner agency and emotional equilibrium.
Wuwei and ziran emphasize non-coercive guidance: future scenarios should open possibilities without imposing preferred paths. Users should avoid strong attachment to ideal futures (guayu), since excessive striving disrupts inner harmony. Therefore, CDT should follow shouzhong as its default design spirit: minimal and proportionate intervention, sensitivity to timing and context, and respect for individual self-determination.
A Daoist lens also clarifies boundaries in data governance. Wuwei implies no over-collection, no over-intervention, and no over-retention: only gather what is necessary, and avoid substituting technological prediction for users’ own judgment. Guayu and shouzhong translate into restraint: limiting data purposes, reducing granularity, and avoiding emotionally intrusive personalization. Governance should allow revocability, renewal limits, and transparent oversight so that emotional autonomy is not quietly replaced by algorithmic direction.
In this combined view, Finland’s CDT offers a powerful engineering method for well-being, while Daoist values supply the ethical self-restraint needed to keep such systems supportive rather than dominating. Enhancing happiness should strengthen autonomy, resilience, and inner balance—not maximize external optimization or control. A Daoist approach therefore ensures that future images augment reflection without overruling agency, allowing technology to assist emotional life without disrupting the inner harmony it aims to measure.

5. Conclusions

In this sense, the fusion of “emotion and computation” expands our capacity to understand, support, and design for human emotional life. Abstraction and simulation—when applied with appropriate limits—can legitimately assist reflection and strengthen self-regulation. The risk arises only when optimization exceeds these limits: when emotions are reduced to fully capturable signals and aggressively tuned objective functions, systems may drift from supportive augmentation toward forms of substitution that restrict composure and autonomy. The aim, therefore, is not to reject optimization altogether but to govern its degree, ensuring that affective technologies enhance rather than override the self-cultivating nature of emotional experience.
Incorporating Zhuangzi’s affective philosophy provides a humanistic counterbalance to this trajectory. It treats inner harmony as a primary value, adopts wuwei as a principle of proportional intervention, and uses ziran as a constraint on design. Within this integrated framework, four practical dimensions guide balanced development:
(1)
Revised objectives: Move away from accuracy and user engagement as main goals. Instead, focus on harmony, resilience, and autonomy. These can be measured through lower emotional volatility, faster recovery after stress, and more user-led self-regulation.
(2)
Intervention strategy: Follow a “minimal-necessary” approach. Start with silent sensing, then offer non-directive reflection prompts. Provide optional self-regulation tools, and only give suggestions when users seek them. Avoid skipping steps or over-intervening.
(3)
Data and governance: Process data on devices whenever possible. Collect only essential data. Use data only for stated purposes. Allow users to revoke permissions and request audits. These steps prevent misuse and protect against loss of autonomy.
(4)
Interaction design: Offer options rather than impose actions. Always provide equivalent choices such as “decline,” “later,” or “more.” The system should act as a support for self-regulation, not as an external controller of emotions.
Applied to Finland’s happiness case, this comparison becomes concrete. Finland’s enduring high ranking aligns with strong public services, robust social trust, and meaningful personal autonomy—features that resonate with Daoist aims of inner balance and moderated desire. Finland’s CDT/HCAIT programs can integrate this ethical framing by emphasizing harmony–resilience–autonomy over engagement metrics, adopting minimal-necessary staging for future images, and ensuring that suggestions remain optional. Data policies can encode minimization, local processing, revocation, and clear limits on retention, echoing wuwei and shouzhong. Interface patterns can default to offer—not impose—structures, while governance tracks over-collection, over-retention, and function creep as red lines. In this way, Finland’s engineered well-being can operate with Zhuangzian restraint rather than in tension with it.
Picard’s argument that emotion is essential for intelligence thus complements the Zhuangzian emphasis on measure and harmony. Picard’s contribution ensures that systems can understand context and support users; Zhuangzian affective principles define when optimization is appropriate and where intervention must stop.
Through this integrated framework—spanning values, methods, governance, and a Finland case—affective computing can more effectively balance technological capability with humanistic self-restraint. Western theories provide models and evaluative tools; Zhuangzian affactive philosophy provides boundaries and proportionality. These are not opposing but complementary: Western science reveals what is technically possible, while Zhuangzian ethics clarify what is appropriate to do. Bringing them together enables affective computing that is both effective and ethically calibrated, a form of affective computing that is effective within defined contexts and ethically restrained by boundary principles, advancing technological support without undermining autonomy or inner equilibrium.

Funding

This research was supported by the Graduate Student Research and Innovation Fund of the School of Marxism, Central China Normal University, under the project “A Study of Affective Computing and Its Applications from the Perspective of Artificial Intelligence” (Grant No. 23HSMY013).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The author declares no conflict of interest.

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