DGIST Intelligence Augmentation Group10
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)
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Recent Submissions
- Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task Design
- Serenus: Alleviating Low-Batery Anxiety Through Real-time, Accurate, and User-Friendly Energy Consumption Prediction of Mobile Applications
- FLUID-IoT : Flexible and Granular Access Control in Shared IoT Environments via-UI-Level Control Distribution
- Find the Bot!: Gamifying Facial Emotion Recognition for Both Human Training and Machine Learning Data Collection
- XDesign: Integrating Interface Design into Explainable AI Education