Quality and Usability
Neslihan Iskender
© ANDREA FABRY 07243/597795
Biography
Neslihan Iskender received her Bachelor and Master of Science degree in Industrial Engineering and Management at the Karlsruhe Institute of Technology. During her studies, she focused on managing new technologies and innovation management. Since May 2017, she is employed as a research assistant at the Quality and Usability Labs where she is working towards a PhD in the field of crowdsourcing. Her research Topics are:
- Crowd assessments: Usability, UX, QoE, Quality
- Real-time interaction, human computation as a service, (HuaaS)
- Hybrid Worfklows for micro-task crowdsourcing
- Internal Crowdsourcing
Research Group
Teaching
- Study Project Quality & Usability (Since SS 2018)
- Interdiziplinäres Medienprojekt (Since SS 2018)
- Usability Engineering (Exercise SS 2018)
Current Projects
Past Projects
- ERICS – European Refugee Information and Communication Service (EIT-Digital, Project Lead)
- OurPuppet: Pflegeunterstützung mit einer interaktiven Puppe für informell Pflegende (BMBF)
- ICU - Internes Crowdsourcing in Unternehmen: Arbeitnehmergerechte Prozessinnovationen durch digitale Beteiligung von Mitarbeiter/innen (BMBF)
Address
Quality and Usability Lab
Deutsche Telekom Laboratories
Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Contact
E-Mail: neslihan.iskender(at)tu-berlin.de
Phone: +49 (30) 8353-58347
Fax: +49 (30) 8353-58409
Publikationen
2021
Iskender,
Neslihan;
Polzehl,
Tim
An Empirical Analysis of an Internal Crowdsourcing Platform: IT Implications for Improving Employee Participation
In Ulbrich, Hannah and Wedel, Marco and Dienel, Hans-Liudger, Editor, Internal Crowdsourcing in Companies: Theoretical Foundations and Practical Applications
Seite 103–134
Herausgeber: Springer International Publishing, Cham
2021
103–134
An Empirical Analysis of an Internal Crowdsourcing Platform: IT Implications for Improving Employee Participation
In Ulbrich, Hannah and Wedel, Marco and Dienel, Hans-Liudger, Editor, Internal Crowdsourcing in Companies: Theoretical Foundations and Practical Applications
Seite 103–134
Herausgeber: Springer International Publishing, Cham
2021
103–134
- ISBN
- 978-3-030-52881-2
Iskender,
Neslihan;
Schaefer,
Robin;
Polzehl,
Tim;
Möller,
Sebastian
Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection
Natural Language Processing and Information SystemsausNLDB, Seite 275–288
Herausgeber: Springer International Publishing, Cham
2021
Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection
Natural Language Processing and Information SystemsausNLDB, Seite 275–288
Herausgeber: Springer International Publishing, Cham
2021
- ISBN
- 978-3-030-80599-9
Wedel,
Marco;
Ulbrich,
Hannah;
Pohlisch,
Jakob;
Göll,
Edgar;
Uhl,
André;
Iskender,
Neslihan;
Polzehl,
Tim;
Schröter,
Welf;
Porth,
Florian
Internes Crowdsourcing in Unternehmen
In Bauer, Wilhelm and Mütze-Niewöhner, Susanne and Stowasser, Sascha and Zanker, Claus and Müller, Nadine, Editor, Arbeit in der digitalisierten Welt: Praxisbeispiele und Gestaltungslösungen aus dem BMBF-Förderschwerpunkt
Seite 335–349
Herausgeber: Springer Berlin Heidelberg, Berlin, Heidelberg
2021
335–349
Internes Crowdsourcing in Unternehmen
In Bauer, Wilhelm and Mütze-Niewöhner, Susanne and Stowasser, Sascha and Zanker, Claus and Müller, Nadine, Editor, Arbeit in der digitalisierten Welt: Praxisbeispiele und Gestaltungslösungen aus dem BMBF-Förderschwerpunkt
Seite 335–349
Herausgeber: Springer Berlin Heidelberg, Berlin, Heidelberg
2021
335–349
- ISBN
- 978-3-662-62215-5
Iskender,
Neslihan;
Polzehl,
Tim;
Möller,
Sebastian
Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead
Proceedings of the Workshop on Human Evaluation of NLP SystemsausHumEval, Seite 86–96
Herausgeber: Association for Computational Linguistics, online
2021
Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead
Proceedings of the Workshop on Human Evaluation of NLP SystemsausHumEval, Seite 86–96
Herausgeber: Association for Computational Linguistics, online
2021
- ISBN
- 978-1-954085-10-7
Iskender,
Neslihan;
Vasilyev,
Oleg;
Polzehl,
Tim;
Bohannon,
John;
Möller,
Sebastian
Towards Human-Free Automatic Quality Evaluation of German Summarization
2021
Towards Human-Free Automatic Quality Evaluation of German Summarization
2021
Iskender,
Neslihan;
Polzehl,
Tim;
Möller,
Sebastian
Towards Hybrid Human-Machine Workflow for Natural Language Generation
Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language ProcessingausHCI + NLP, Seite 1–7
Herausgeber: Association for Computational Linguistics, online
2021
Towards Hybrid Human-Machine Workflow for Natural Language Generation
Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language ProcessingausHCI + NLP, Seite 1–7
Herausgeber: Association for Computational Linguistics, online
2021
- ISBN
- 978-1-954085-17-6
2020
Iskender,
Neslihan;
Polzehl,
Tim;
Möller,
Sebastian
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation
Proceedings of the First Workshop on Evaluation and Comparison of NLP SystemsausEMNLP | Eval4NLP, Seite 164–175
Herausgeber: Association for Computational Linguistics (ACL), online
2020
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation
Proceedings of the First Workshop on Evaluation and Comparison of NLP SystemsausEMNLP | Eval4NLP, Seite 164–175
Herausgeber: Association for Computational Linguistics (ACL), online
2020
Iskender,
Neslihan;
Polzehl,
Tim;
Möller,
Sebastian
Crowdsourcing versus the laboratory: towards crowd-based linguistic text quality assessment of query-based extractive summarization
Proceedings of the Conference on Digital Curation Technologies (Qurator 2020)ausQURATOR, Seite 1–16
Herausgeber: CEUR, Berlin, Germany
2020
Crowdsourcing versus the laboratory: towards crowd-based linguistic text quality assessment of query-based extractive summarization
Proceedings of the Conference on Digital Curation Technologies (Qurator 2020)ausQURATOR, Seite 1–16
Herausgeber: CEUR, Berlin, Germany
2020
Iskender,
Neslihan;
Polzehl,
Tim;
Möller,
Sebastian
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization
Proceedings of The 12th Language Resources and Evaluation ConferenceausLREC, Seite 245–253
Herausgeber: European Language Resources Association (ELRA), Paris, France
2020
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization
Proceedings of The 12th Language Resources and Evaluation ConferenceausLREC, Seite 245–253
Herausgeber: European Language Resources Association (ELRA), Paris, France
2020
2019
Iskender,
Neslihan;
Gabryszak,
Aleksandra;
Polzehl,
Tim;
Hennig,
Leonhard;
Möller,
Sebastian
A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries
2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)ausQoMEX, Seite 1–3
Herausgeber: IEEE, Piscataway, NJ, USA
2019
A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries
2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)ausQoMEX, Seite 1–3
Herausgeber: IEEE, Piscataway, NJ, USA
2019
Mittag,
Gabriel;
Liedtke,
Louis;
Iskender,
Neslihan;
Naderi,
Babak;
Hübschen,
Tobias;
Schmidt,
Gerhard;
Möller,
Sebastian
Einfluss der Position und Stimmhaftigkeit von verdeckten Paketverlusten auf die Sprachqualität
Fortschritte der Akustik - DAGA 2019ausDAGA, Seite 950–953
Herausgeber: Deutsche Gesellschaft für Akustik DEGA e.V., Alte Jakobstraße 88, 10179 Berlin
2019
Einfluss der Position und Stimmhaftigkeit von verdeckten Paketverlusten auf die Sprachqualität
Fortschritte der Akustik - DAGA 2019ausDAGA, Seite 950–953
Herausgeber: Deutsche Gesellschaft für Akustik DEGA e.V., Alte Jakobstraße 88, 10179 Berlin
2019
- ISBN
- 978-3-939296-14-0