most citedTherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation

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cs.HC2026

The Topology of Recovery: Using Persistent Homology to Map Individual Mental Health Journeys in Online Communities

Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang

Understanding how individuals navigate mental health challenges over time is critical yet methodologically challenging. Traditional approaches analyze community-level snapshots, fa…

cs.HC20261 cited

TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation

Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang

As mental health chatbots proliferate to address the global treatment gap, a critical question emerges: How do we design for relational safety the quality of interaction patterns t…

cs.HC2026

When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models

Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang

Large Language Models (LLMs) are increasingly used to ``professionalize'' workplace communication, often at the cost of linguistic identity. We introduce "Cultural Ghosting", the s…

cs.HC2026

GazeFlow: Personalized Ambient Soundscape Generation for Passive Strabismus Self-Monitoring

Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang

Strabismus affects 2-4% of the population, yet individuals recovering from corrective surgery lack accessible tools for monitoring eye alignment. Dichoptic therapies require active…

cs.HC2026

Orchestrating Attention: Bringing Harmony to the 'Chaos' of Neurodivergent Learning States

Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang

Adaptive learning systems optimize content delivery based on performance metrics but ignore the dynamic attention fluctuations that characterize neurodivergent learners. We present…

cs.HC2025

Plural Voices, Single Agent: Towards Inclusive AI in Multi-User Domestic Spaces

Joydeep Chandra, Satyam Kumar Navneet

Domestic AI agents faces ethical, autonomy, and inclusion challenges, particularly for overlooked groups like children, elderly, and Neurodivergent users. We present the Plural Voi…