DGIST Intelligence Augmentation Group6
Overview
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
Advisor Professor : Song, Jean Y.
DGIST Intelligence Augmentation Group Homepage
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
Advisor Professor : Song, Jean Y.
DGIST Intelligence Augmentation Group Homepage
Co-Author(s)
Related Keyword
Recent Submissions
RSS 1.0
RSS 2.0
ATOM 1.0
- XDesign: Integrating Interface Design into Explainable AI Education
- FLUID-XP: Flexible User Interface Distribution for Cross-Platform Experience
- Promptiverse: Scalable Generation of Scaffolding Prompts Through Human-AI Hybrid Knowledge Graph Annotation
- A-Mash: Providing Single-App Illusion for Multi-App Use through User-centric UI Mashup
- It is Okay to be Distracted: How Real-time Transcriptions Facilitate Online Meeting with Distraction