Introduces a clean matched benchmark and Dynamic Emotional Signature Graphs (DESG) framework that detects implicit sycophancy via clinical-state transitions and reports a 0.0488 macro-F1 gain over baselines on harmful-risk detection.
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3 Pith papers cite this work, alongside 6 external citations. Polarity classification is still indexing.
3
Pith papers citing it
6
external citations · OpenAlex
representative citing papers
Volunteer peer supporters in Singapore experience emotional labour, organisational gaps, and ambivalence toward AI, yielding design implications for human-centred support technologies.
A three-layer trust framework integrating human, AI, and interaction perspectives is proposed to align multi-stakeholder trust criteria for AI-driven mental health support.
citing papers explorer
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Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks
Introduces a clean matched benchmark and Dynamic Emotional Signature Graphs (DESG) framework that detects implicit sycophancy via clinical-state transitions and reports a 0.0488 macro-F1 gain over baselines on harmful-risk detection.
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"I Said Things I Needed to Hear Myself": Peer Support as an Emotional, Organisational, and Sociotechnical Practice in Singapore
Volunteer peer supporters in Singapore experience emotional labour, organisational gaps, and ambivalence toward AI, yielding design implications for human-centred support technologies.
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Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders
A three-layer trust framework integrating human, AI, and interaction perspectives is proposed to align multi-stakeholder trust criteria for AI-driven mental health support.