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Inhalt des Dokuments

Dr. -Ing. Babak Naderi

Lupe [1]
© Q&U

Research Interests:

  • 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

Biography:

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 [2] 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" [3]. 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 [4]). He was taking part by leading CrowdMAQA [5]project.

Within dissertation, Babak studies the motivation of crowdworkers in details. He has developed the Crowdwork Motivation Scale [6] 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 [7].

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.

 

Selected talks:

  • "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

 

Adresse:

Quality and Usability Lab

Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin

Tel.:+49 (30) 8353-54221
Fax: +49 (30) 8353-58409

babak.naderi[at]tu-berlin.de

Publications

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Naderi, Babak and Jiménez, Rafael Zequeira and Hirth, Matthias and Möller, Sebastian and Metzger, Florian and Hoßfeld, Tobias (2020). Towards speech quality assessment using a crowdsourcing approach: evaluation of standardized methods [14]. Quality and User Experience. Springer, 2.

Link zur Publikation [15] Link zur Originalpublikation [16]

Naderi, Babak and Cutler, Ross (2020). An Open Source Implementation of ITU-T Recommendation P.808 with Validation [17]. Proc. Interspeech 2020. ISCA, 2862–2866.

Link zur Publikation [18] Link zur Originalpublikation [19]

Sabet, Saeed Shafiee and Schmidt, Steven and Zadtootaghaj, Saman and Naderi, Babak and Griwodz, Carsten and Möller, Sebastian (2020). A Latency Compensation Technique Based on Game Characteristics to Mitigate the Influence of Delay on Cloud Gaming Quality of Experience [20]. Proceedings of the 11th ACM Multimedia Systems Conference. Association for Computing Machinery, 15–25.

Link zur Publikation [21] Link zur Originalpublikation [22]

Naderi, Babak and Hoßfeld, Tobias and Hirth, Matthias and Metzger, Florian and Möller, Sebastian and Zequeira Jiménez, Rafael (2020). Impact of the Number of Votes on the Reliability and Validity of Subjective Speech Quality Assessment in the Crowdsourcing Approach [23]. 12th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.

Link zur Publikation [24]

Naderi, Babak and Möller, Sebastian (2020). Application of Just-Noticeable Difference in Quality as Environment Suitability Test for Crowdsourcing Speech Quality Assessment Task [25]. 12th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.

Link zur Publikation [26]

Naderi, Babak and Möller, Sebastian (2020). Transformation of Mean Opinion Scores to Avoid Misleading of Ranked based Statistical Techniques [27]. 12th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–3.

Link zur Publikation [28]

Perkis, Andrew and Timmerer, Christian and Baraković, Sabina and Husić, Jasmina Baraković and Bech, Søren and Bosse, Sebastian and Botev, Jean and Brunnström, Kjell and Cruz, Luis and De Moor, Katrien and Saibanti, Andrea de Polo and Durnez, Wouter and Egger-Lampl, Sebastian and Engelke, Ulrich and Falk, Tiago H. and Hameed, Asim and Hines, Andrew and Kojic, Tanja and Kukolj, Dragan and Liotou, Eirini and Milovanovic, Dragorad and Möller, Sebastian and Murray, Niall and Naderi, Babak and Pereira, Manuela and Perry, Stuart and Pinheiro, Antonio and Pinilla, Andres and Raake, Alexander and Agrawal, Sarvesh Rajesh and Reiter, Ulrich and Rodrigues, Rafael and Schatz, Raimund and Schelkens, Peter and Schmidt, Steven and Sabet, Saeed Shafiee and Singla, Ashutosh and Skorin-Kapov, Lea and Suznjevic, Mirko and Uhrig, Stefan and Vlahović, Sara and Voigt-Antons, Jan-Niklas and Zadtootaghaj, Saman (2020). QUALINET White Paper on Definitions of Immersive Media Experience (IMEx) [29]. arXiv preprint arXiv:2007.07032. European Network on Quality of Experience in Multimedia Systems and Services, 14th QUALINET meeting, 1–15.

Link zur Originalpublikation [30]

Schmidt, Steven and Naderi, Babak and Sabet, Saeed Shafiee and Zadtootaghaj, Saman and Carsten and Möller, Sebastian (2020). Assessing Interactive Gaming Quality of Experience using a Crowdsourcing Approach [31]. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.

Link zur Publikation [32] Link zur Originalpublikation [33]

Schmidt, Steven and Shafiee Sabet, Saeed and Naderi, Babak and Zadtootaghaj, Saman and Griwodz, Carsten and Möller, Sebastian (2020). Evaluation of Interactive Test Paradigm for P.CROWDG Recommendation [34]. , 1–7.

Link zur Originalpublikation [35]

Naderi, Babak and Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian (2019). Draft text for P.CROWDG Recommendation Subjective Evaluation of Gaming Quality with a Crowdsourcing Approach [36]. , 1–11.

Link zur Originalpublikation [37]

Mohtaj, Salar and Naderi, Babak and Ensikat, Kaspar and Möller, Sebastian (2019). A Dataset for Subjective Assessment of German Text Complexity [38]. Dialog for Good (DiGo), Workshop on Speech and Language Technology Serving Society, Stockholm, 10 September, 2019., 1–6.

Link zur Publikation [39] Link zur Originalpublikation [40]

Naderi, Babak and Mohtaj, Salar and Karan, Karan and Möller, Sebastian (2019). Automated Text Readability Assessment for German Language: A Quality of Experience Approach [41]. 11th International Conference on Quality of Multimedia Experience (QoMEX 2019). IEEE.

Zequeira Jiménez, Rafael and Llagostera, Anna and Naderi, Babak and Möller, Sebastian and Berger, Jens (2019). Modeling Worker Performance Based on Intra-rater Reliability in Crowdsourcing : A Case Study of Speech Quality Assessment [42]. 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.

Zequeira Jiménez, Rafael and Naderi, Babak and Möller, Sebastian (2019). Background Environment Characteristics of Crowd-Workers from German Speaking Countries Experimental Survey on User Environment Characteristics [43]. 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–3.

Zequeira Jiménez, Rafael and Llagostera, Anna and Naderi, Babak and Möller, Sebastian and Berger, Jens (2019). Intra- and Inter-rater Agreement in a Subjective Speech Quality Assessment Task in Crowdsourcing [44]. Companion Proceedings of The 2019 World Wide Web Conference. ACM, 1138–1143.

Link zur Originalpublikation [45]

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