TU Berlin

Quality and Usability LabCrowdsourcing and Open Data

Inhalt des Dokuments

zur Navigation

Crowdsurfing and Open Data

Topics:

Platform

  • Fundamental Aspects of Crowdsourcing Platforms
  • High Quality Crowd-Workflow Design
  • Combination of Human Computation and AI
  • Open Data, and Open Science (open-science.berlin)

Workers

  • Motivation of Workers
  • Gamification in Volunteer Crowdsourcing
  • Personalized/adaptive Design to Increase Performance
  • Quality Control Mechanisms (Data Reliability, Agreement)

Application of Crowdsourcing

  • Crowd- and AI-based Hybrid Workflows (error correction and performance boost by adding crowd-services to support AI) 
  • Crowd- and AI-based Translation Workflows
  • Crowd- and AI-based Text Summarization Workflows
  • Crowd- and AI-based Knowledge Graph and Chatbot Supporting Workflows
  • Crowd- and AI-based Chatbot/ Dialog Flow Supervision and in-time Correction
  • Crowd- and AI-based Information Learning (autonomous knowledge base updates)
  • Internal Crowdsourcing (employee sourcing)
  • Gaming QoE Assessment using Crowdsourcing
  • Speech Quality Assessment using Crowdsourcing approach (ITU-T Standardization)
  • Text Simplification and Text Complexity: einfaches-wiki.de

 

Our research extends to the following areas:

Building on Crowdsourcing

  • Mobile crowdsourcing (in the field)
  • Crowd assessments: Usability, UX, QoE
  • Privacy and confidentiality in crowdsourcing
  • Mobile street application, urban mobility, city guarding
  • Data collection in the field: crowd as (continuous) sensors
  • Data management (clean, index, verify, tag, label, translate, etc. )

Improving Crowdsourcing

  • Real-time interaction, human computation as a service, (HuaaS)
  • Privacy and security in crowdsourcing
  • Motivation in crowdsourcing, gamification
  • Quality control (pattern recognition, cheater detection, anomaly)
  • Automatic user segmentation (clustering)
  • Training, E-learning and building expert-crowds
  • Task complexity modeling
  • Crowd and user biases, subjective normalization
  • Scalable Crowdsourcing, Robustness, Reliability in Engineering
  • Quality in Crowdsourcing (quality of opinion, audio/video, reliability) 

Start-Up:

  • Crowdee:  High Quality Large Scale Crowdsourcing for Studies and AI-related Data Acquisition: (Start-Up from QU TU Berlin)

Navigation

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe