In Designing Intelligence Augmentation Group (DIAG), we do research on the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI). Our focus lies in the study and development of hybrid intelligence systems, which integrate the power of both human and machine intelligence. Our objective is to address complex computational and social problems through the design of novel and effective human-AI interactions.

​

We do research that spans both understanding and improving human-AI interactions. Our work can be broadly categorized into: 

​

1. Understanding Human and Machine Intelligence — We study how humans and AI systems sense, interpret, and respond in cognitive tasks that call for responsibility, transparency, and reliability. Our work explores how they acquire skills and make informed decisions through interaction, collaboration, and shared data.

2. Designing and Developing AI-Infused Systems — We design and build AI-infused systems that drive meaningful advancements for both individuals and society. Our work focuses on creating intelligent tools that augment decision-making, adaptive systems that provide support for learning, and interactive systems that scaffold complex problem-solving.

3. Advancing Crowdsourcing and Human Computation — We explore how distributed collaboration and crowdsourcing (e.g., RLHF) enable scalable solutions to tasks beyond the reach of AI alone.

Research Keywords:

​

Human-Computer Interaction, Human-AI interaction, Computer Supported Cooperative Work & Social Computing, Human Computation and Crowdsourcing

​