activity
20212026
most citedUsing Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

10 citations · 18 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2026

Designing for the Moment: How One-Minute Interventions Fit or Falter Across Domains

Zahra Hassanzadeh, Anne Hsu, Rachel Kornfield +8

This paper explores the design space for one-minute digital interventions that prompt immediate action without onboarding or sensing. By embracing Fogg's Behavior Model and four de…

cs.LG2025

Tailored Behavior-Change Messaging for Physical Activity: Integrating Contextual Bandits and Large Language Models

Haochen Song, Dominik Hofer, Rania Islambouli +6

Contextual multi-armed bandit (cMAB) algorithms offer a promising framework for adapting behavioral interventions to individuals over time. However, cMABs often require large sampl…

cs.HC2025

Fitting the Message to the Moment: Designing Calendar-Aware Stress Messaging with Large Language Models

Pranav Rao, Maryam Taj, Alex Mariakakis +2

Existing stress-management tools fail to account for the timing and contextual specificity of students' daily lives, often providing static or misaligned support. Digital calendars…

cs.HC2025

Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools

Ananya Bhattacharjee, Joseph Jay Williams, Miranda Beltzer +6

Challenges in engagement with digital mental health (DMH) tools are commonly addressed through technical enhancements and algorithmic interventions. This paper shifts the focus tow…

cs.LG2025★ 1 cited

Adaptive Experiments Under Data Sparse Settings: Applications for Educational Platforms

Haochen Song, Ilya Musabirov, Ananya Bhattacharjee +4

Adaptive experimentation is increasingly used in educational platforms to personalize learning through dynamic content and feedback. However, standard adaptive strategies such as T…

cs.HC2024★ 4 cited

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions

Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao +8

Stories about overcoming personal struggles can effectively illustrate the application of psychological theories in real life, yet they may fail to resonate with individuals' exper…

cs.HC2024

"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults

Ananya Bhattacharjee, Zichen Gong, Bingcheng Wang +6

Regular practice of gratitude has the potential to enhance psychological wellbeing and foster stronger social connections among young adults. However, there is a lack of research i…

cs.HC2023★ 3 cited

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination

Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu +9

Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense…

cs.AI2023★ 10 cited

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

Harsh Kumar, Tong Li, Jiakai Shi +11

Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these intervention…

cs.HC2021

Understanding User Perspectives on Prompts for Brief Reflection on Troubling Emotions

Ananya Bhattacharjee, Pan Chen, Linjia Zhou +6

We investigate users' perspectives on an online reflective question activity (RQA) that prompts people to externalize their underlying emotions on a troubling situation. Inspired b…

cs.HC2021

Understanding the Social Determinants of Mental Health of the Undergraduate Students in Bangladesh: Interview Study

Ananya Bhattacharjee, S M Taiabul Haque, Abdul Hady +4

Objective: This study aims to identify the social determinants of mental health among undergraduate students in Bangladesh, a developing nation in South Asia. Our goal is to identi…