6 papers
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…
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…
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…
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…
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…
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…