Inhalt des Dokuments

[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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