Gamifying intimacy: AI-driven affective engagement and human-virtual human relationships

心理学 虚拟演员 社会心理学 社会学 虚拟现实 计算机科学 人机交互
作者
Liang Ge,Tingting Hu
出处
期刊:Media, Culture & Society [SAGE Publishing]
卷期号:47 (6): 1265-1278 被引量:15
标识
DOI:10.1177/01634437251337239
摘要

This article examines the gamification of intimacy with AI, through China’s XingYe, a multimodal AI companion platform that integrates role-playing game (RPG) mechanics, algorithmic responsiveness and user-generated markets to reconfigure human-virtual human relationships. Drawing on 9-month autoethnographic engagement, we argue that XingYe operationalises what we term the gamification of intimacy – a design paradigm that commodifies emotional labour by rendering affection efficient, quantifiable and achievement-oriented. Users engineer customisable AI companions through ludic acts of co-creation, navigating tiered progression systems and gacha-style rewards that transform intimacy into a structured, transactional process. Simultaneously, XingYe blurs boundaries between fiction and lived experience, enabling real-time narrative remediation and the monetisation of AI agents as tradable commodities. This hybrid relationality challenges traditional notions of parasociality, positioning AI-mediated intimacy as a liminal space of technocultural negotiation where algorithmic agency and user desire converge. By framing emotional bonds as both labour and leisure, XingYe exemplifies the industrial production of connection under platform capitalism, raising critical questions about agency, data sovereignty and the neoliberal optimisation of vulnerability. The study contributes to debates on human-machine communication by interrogating how gamified AI systems reshape intimacy into a crowdsourced, market-driven practice, urging scholars to transcend anthropocentric frameworks and address the ethical implications of affective commodification in digital ecosystems.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Nole应助文静紫烟采纳,获得10
刚刚
Nole应助wly9399375采纳,获得10
刚刚
石头发布了新的文献求助10
刚刚
刚刚
Willa完成签到,获得积分10
刚刚
1秒前
虚心纸飞机完成签到,获得积分10
1秒前
2秒前
Nole应助云边的小鹿采纳,获得10
2秒前
Xee完成签到,获得积分10
2秒前
Theft发布了新的文献求助10
3秒前
3秒前
3秒前
3秒前
3秒前
xuan发布了新的文献求助10
4秒前
小白完成签到,获得积分10
4秒前
4秒前
5秒前
爆米花应助科研通管家采纳,获得10
5秒前
充电宝应助科研通管家采纳,获得10
5秒前
molihuakai应助科研通管家采纳,获得10
5秒前
核桃应助科研通管家采纳,获得50
5秒前
传奇3应助科研通管家采纳,获得10
5秒前
6秒前
张欢馨应助科研通管家采纳,获得10
6秒前
molihuakai应助科研通管家采纳,获得10
6秒前
6秒前
在水一方应助科研通管家采纳,获得50
6秒前
6秒前
6秒前
星辰大海应助科研通管家采纳,获得10
6秒前
6秒前
小蘑菇应助科研通管家采纳,获得10
6秒前
6秒前
yqwang完成签到,获得积分10
7秒前
羡鱼发布了新的文献求助10
7秒前
端庄的寒梅应助tang采纳,获得10
7秒前
8秒前
jinghong发布了新的文献求助10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7610502
求助须知:如何正确求助?哪些是违规求助? 9186280
关于积分的说明 19679102
捐赠科研通 7184283
什么是DOI,文献DOI怎么找? 3270386
关于科研通互助平台的介绍 2434033
邀请新用户注册赠送积分活动 2265077