"I Said Things I Needed to Hear Myself": Peer Support as an Emotional, Organisational, and Sociotechnical Practice in Singapore

A qualitative study of 20 peer supporters in Singapore examines how digital platforms mediate mental health support outside clinical systems. The research identifies design opportunities for culturally responsive AI tools that enhance rather than replace human connection in peer support contexts.

This academic research addresses a significant gap in human-centered AI design by centering the voices and experiences of peer supporters themselves rather than focusing solely on end-users or clinical outcomes. The study recognizes that as digital platforms increasingly facilitate mental health support—particularly in regions with limited clinical resources—the technological infrastructure supporting these interactions remains understudied and under-designed for diverse cultural contexts. The Singapore-based research is particularly valuable because it examines peer support practices outside Western frameworks, capturing how sociocultural factors shape emotional labor and community care in Asian contexts.

The findings carry implications for developers building mental health technologies and for organizations deploying AI in healthcare spaces. Rather than positioning AI as a replacement for human peer support, the research suggests a more nuanced approach where technology scaffolds relational care by reducing administrative burden, facilitating connections, or providing structure—while preserving the authentic human connection that gives peer support its therapeutic value. This perspective challenges the assumption that automation and scale necessarily improve mental health outcomes.

For the AI and mental health tech industry, this research underscores growing market demand for culturally responsive design and trustworthy AI systems. Organizations investing in peer support platforms now have empirical evidence that understanding supporter experiences—their motivations, emotional boundaries, and cultural contexts—is critical for building products that actually work. The emphasis on maintaining human-centered care rather than maximizing algorithmic efficiency positions responsible AI design as a competitive differentiator in healthcare technology markets.

• →Peer supporters in Singapore identify emotional labor and cultural factors as central to their practice, requiring technology design that respects these dimensions rather than automating them away.
• →Digital platforms mediating mental health support remain understudied in Asian contexts despite their growing adoption and impact on access to care.
• →AI tools in mental health should augment peer supporters' capacity for relational care rather than replace human connection, which is the therapeutic core of peer support.
• →Culturally responsive design for mental health technology requires centered voices of practitioners, not just end-users or clinical institutions.
• →Trustworthy AI in healthcare emerges as a market opportunity for developers who prioritize human-centered design over pure automation and scale.