Inhalt des Dokuments
Dr. -Ing. Babak Naderi
- © Q&U
- Subjective quality assessment
- Speech Quality Assessment in Crowdsourcing
- Motivation, Workload, and Performance in Crowdsourcing
- Statistical Modeling, field data and applied statistics
- Speech Enhancement
- Text Complexity and Simplification
Babak Naderi has obtain his Dr.-Ing degree (PhD) on the basis of his thesis with a title of Motivation of Workers on Microtask Crowdsourcing Platforms  in September 2017. Babak has Master's degree in Geodesy and Geoinformation Science form the Technical University Berlin with a thesis on "Monte Carlo Localization for Pedestrian Indoor Navigation Using a Map Aided Movement Model" . He has also a Bachelor's degree in Software Engineering.
Since August 2012, Babak Naderi is working as a research scientist at the Quality and Usability Lab of TU-Berlin.
2013-2015 Babak was awarded with an BMBF funded Education program for future IT and Development Leadership involving Bosch, Datev, Deutsche Telekom AG, Holtzbrinck, SAP, Scheer Group, Siemens, and Software AG amongst highly ranked academic institution (Softwarecampus ). He was taking part by leading CrowdMAQA project.
Within dissertation, Babak studies the motivation of crowdworkers in details. He has developed the Crowdwork Motivation Scale  for measuring general motivation based on the Self-Determination Theory of Motivation. The scale has been validated within several studies. In addition, he has studied factors influencing the motivation, and influence of different motivation type on the quality of outcomes. Models for predicting task selection strategy of workers are developed, including models for automatically predicting expected workload associated to a task from its design, task acceptance and performance.
Beside others research activities, Babak is actively working on the standardization of methods for speech quality assessment in crowdsourcing environment in the P.CROWD work program of Study Group 12 in ITU-T Standardization Sector .
Reviewed for WWW, CHI, ICASSP, CSCW, MMSys, PQS, HCOMP, ICWE, QoMEX, International Journal of Human-Computer Studies, Computer Networks, Behaviour & Information Technology, Quality and User Experience.
- "Motivation of Crowd Workers, does it matter?",Schloss Dagstuhl, Evaluation in the Crowd: Crowdsourcing and Human-Centred Experiments, November 2015.
- "Motivation and Quality Assessment in Online Paid Crowdsourcing Micro-task Platforms",Schloss Dagstuhl, Crowdsourcing: From Theory to Practice and Long-Term Perspectives, September 2013.
Office Hours: On Appointment
Quality and Usability Lab
Technische Universität Berlin
Tel.:+49 (30) 8353-54221
Fax: +49 (30) 8353-58409
|Autor||Naderi, Babak and Mohtaj, Salar and Karan, Karan and Möller, Sebastian|
|Buchtitel||11th International Conference on Quality of Multimedia Experience (QoMEX 2019)|
|Zusammenfassung||Data-driven approaches towards readability assessment, using automated linguistic analysis and machine learning methods, is a viable road forward for readability rankings. This paper describes the development of an automated readability assessment estimator based on supervised learning algorithms over German text corpora. For this purpose, natural language processing tools are used to extract 73 linguistic features grouped in traditional, lexical and morphological features. Feature engineering approaches are employed to select informative features. Different supervised learning models are implemented, with the top-ranked features fed as input. The results obtained depict that Random Forest Regressor yielding best result (0.847) for RMSE measure.|