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20242026
most citedLongitudinal Study on Social and Emotional Use of AI Conversational Agent

5 citations · 10 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Study

Ananya Bhattacharjee, Michael Liut, Matthew Jörke +2

Digital mental health (DMH) tools have extensively explored personalization of interventions to users' needs and contexts. However, this personalization often targets what support…

cs.HC2026★ 1 cited

Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions

Dominik P. Hofer, Haochen Song, Rania Islambouli +5

Behaviour Change Techniques (BCTs) are central to digital health interventions, yet selecting and delivering effective techniques remains challenging. Contextual bandits enable sta…

cs.HC2026

User Perceptions of an LLM-Based Chatbot for Cognitive Reappraisal of Stress: Feasibility Study

Ananya Bhattacharjee, Jina Suh, Mohit Chandra +1

Cognitive reappraisal is a well-studied emotion regulation strategy that helps individuals reinterpret stressful situations to reduce their impact. Many digital mental health tools…

cs.HC2025★ 5 cited

Longitudinal Study on Social and Emotional Use of AI Conversational Agent

Mohit Chandra, Javier Hernandez, Gonzalo Ramos +7

Development in digital technologies has continuously reshaped how individuals seek and receive social and emotional support. While online platforms and communities have long served…

cs.HC2024★ 2 cited

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents

Mohit Chandra, Suchismita Naik, Denae Ford +8

Recent gains in popularity of AI conversational agents have led to their increased use for improving productivity and supporting well-being. While previous research has aimed to un…

cs.HC2024★ 2 cited

Understanding Communication Preferences of Information Workers in Engagement with Text-Based Conversational Agents

Ananya Bhattacharjee, Jina Suh, Mahsa Ershadi +3

Communication traits in text-based human-AI conversations play pivotal roles in shaping user experiences and perceptions of systems. With the advancement of large language models (…