5 citations · 11 across the 7 of their papers we have counts for
8 papers
Scales, Reflections, and Conversations: A Multi-Modal Approach to Emotion Annotation
Pragya Singh, Prashasti Gupta, Hitesh Bhandari +3
Mental health concerns are increasing worldwide, highlighting the need for interventions that support everyday emotional well being. Prior work has demonstrated the potential of we…
FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
Pragya Singh, Ankush Gupta, Somay Jalan +2
Emotion recognition from physiological signals has substantial potential for applications in mental health and emotion-aware systems. However, the lack of standardized, large-scale…
JEEVHITAA -- An HCAI Ecosystem to Support Collective Care
Shyama Sastha Krishnamoorthy Srinivasan, Harsh Pala, Mohan Kumar +1
Current mobile health platforms are predominantly individual-centric and lack the support for coordinated, auditable multi-actor workflows. However, in many settings worldwide, hea…
Leveraging Familiarity with Television to Enrich Older Adults' Engagement and Wellbeing: A Feasibility Study Using Video Probes
Shyama Sastha Krishnamoorthy Srinivasan, Mohan Kumar, Pushpendra Singh
The shift away from multigenerational families to nuclear families in India has created a growing need to support older adults living independently. While technology can help addre…
Unpacking "Personal" Health Informatics for Proactive Collective Care
Shyama Sastha Krishnamoorthy Srinivasan, Mohan Kumar, Pushpendra Singh
Care is primarily a collective phenomenon, with a practice that involves sharing health and wellbeing information within a trusted "care circle" of family and companions for sensem…
AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI
Pragya Singh, Ankush Gupta, Mohan Kumar +1
Emotional and mental well-being are vital components of quality of life, and with the rise of smart devices like smartphones, wearables, and artificial intelligence (AI), new oppor…
Translating Emotions to Annotations -- A Participant Perspective of Physiological Emotion Data Collection
Pragya Singh, Ritvik Budhiraja, Pankaj Jalote +2
Physiological signals hold immense potential for ubiquitous emotion monitoring, presenting numerous applications in emotion recognition. However, harnessing this potential is hinde…
Can we say a cat is a cat? Understanding the challenges in annotating physiological signal-based emotion data
Pragya Singh, Mohan Kumar, Pushpendra Singh
Artificial Intelligence (AI) algorithms, trained on emotion data extracted from physiological signals, provide a promising approach to monitoring emotions, affect, and mental well-…