An AI-native chatbot framework that blends Puter’s serverless cloud with your custom workflows for instant, browser-ready conversational apps.

the emotion regulation task (warning contains disturbing images)

Analysis code supporting original publication

Systematic review and meta-analysis of affect labeling (Lieberman et al. 2007 paradigm). Pre-registered protocol, real random-effects meta-analysis (k=9), PRISMA 2020, RoB 2 / ROBINS-I, ~14,000-word manuscript. Open data and code.

NUS Hack&Roll 2019: Chrome Extension to track and display viewer emotions while watching YouTube videos

Dominique Makowski's Publications and Materials

Emotion Regulation Questionnaire (ERQ) Survey

Data and scripts from the manuscript: Emotion regulation strategy use and forecasting in response to dynamic, multimodal stimuli

(Python) Chatbot powered by GPT-3.5 that recognizes the user's emotion, decides what strategy to implement to make the user feel good and puts it into action in its conversation with the user.

🗨️ Prototype and test AI-driven chat experiences using EtherPulse Conversational Studio's seamless React and TypeScript interface with live Puter connectivity.