Order-Bound companionship: The Practice of Emotional Labor in Professional Game Companionship

Labor in platform gig economy increasingly involves services involving relationship that demand significant emotional investment. Grounded in China’s unique socio-cultural and multi-platform context, this study explores professional game companionship, an under-explored digital labor practice. Through interviews with 22 game companionship practitioners, we used a micro-level perspective to relational gig work to analyze how workers navigate intimate boundaries and stakeholder networks. We found that companions adopt an "order-bound" mechanism: performing immersive deep acting during paid sessions, followed by complete emotional disengagement post-order. We also identified a tripartite companion-centric network featuring scenario-based performances with clients, competitive-symbiotic peer relations, and interdependent governance with companionship clubs. Furthermore, significant identity fluidity exists, with individuals frequently transitioning between companion, client, and club operator roles. We provide implications for future labor governance and platform designs for intimate digital work that explicitly account for institutionalized boundaries and gig workers’ shifting psychological needs.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2026-11-03
DOI
https://doi.org/10.1145/3831304
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Order-Bound companionship: The Practice of Emotional Labor in Professional Game Companionship

Yizhen Li, Xiaohe Mo, Yujie Zhang, Jianyi Wang et al.
6 links
Proceedings of the ACM on Human-Computer Interaction
Digital Economy and Work Transformation
article

Order-Bound companionship: The Practice of Emotional Labor in Professional Game Companionship

Yizhen Li, Xiaohe Mo, Yujie Zhang, Jianyi Wang, Ray LC, Qinyi Liao
article en

Abstract

Labor in platform gig economy increasingly involves services involving relationship that demand significant emotional investment. Grounded in China’s unique socio-cultural and multi-platform context, this study explores professional game companionship, an under-explored digital labor practice. Through interviews with 22 game companionship practitioners, we used a micro-level perspective to relational gig work to analyze how workers navigate intimate boundaries and stakeholder networks. We found that companions adopt an "order-bound" mechanism: performing immersive deep acting during paid sessions, followed by complete emotional disengagement post-order. We also identified a tripartite companion-centric network featuring scenario-based performances with clients, competitive-symbiotic peer relations, and interdependent governance with companionship clubs. Furthermore, significant identity fluidity exists, with individuals frequently transitioning between companion, client, and club operator roles. We provide implications for future labor governance and platform designs for intimate digital work that explicitly account for institutionalized boundaries and gig workers’ shifting psychological needs.

Proceedings of the ACM on Human-Computer InteractionVol. 10(7)
City University of Hong Kong (HK)
Decent work and economic growth
Openalex Percentile: Top 47%
Digital Economy and Work Transformation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon