DIAG

In the DGIST Intelligence Augmentation Group (DIAG, opening July 1st 2021), we do research in the intersection of HCI and AI.
We study and build hybrid intelligence systems — combining human and machine intelligence to understand and overcome challenging problems in AI.

JOIN US

We are looking for motivated and well-qualified students to build interactive web appliations and machine learning applications.

If you are interested in doing research under the theme of Human-Computer Interaction, Human-AI Interaction, Crowdsourcing, Human Computation, and Intelligence Augmentation, please send your CV and transcript to diag.dgist@gmail.com.

People

Jean's profile photo with her face

Jean Y. Song
Assistant Professor (starting July 2021)

Projects

Our research projects include but are not limited to the following list. We are open to discuss new projects in the topic of AI, HCI, Crowdsourcing, and Human Computation. Please feel free to contact us with exciting new ideas.





"Efficient Imitation Learning for Autonomous Vehicles via Crowdsourcing High-Risk Examples"



"Intervention Techniques to Protect Mental Health for Crowd Workers Exposed to Disturbing Content"



"Understanding Experts' Task Completion Workflow to Automate Using Crowd-AI Hybrid Systems"

Contact

‚Äč We welcome collaborations!
If you have any questions or would like to hear more about our research, please feel free to shoot us an email: diag.dgist@gmail.com