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Lehrstuhl für Menschzentrierte Künstliche Intelligenz

  1. Universit?t
  2. Fakult?ten
  3. Fakult?t für Angewandte Informatik
  4. Institut für Informatik
  5. Lehrstühle und Professuren der Informatik
  6. Menschzentrierte Künstliche Intelligenz
  7. Team
  8. Dr. Jauwairia Nasir

Dr. Jauwairia Nasir

Postdoctoral Researcher
Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Telefon: +49 821 598 2322
E-Mail:
Raum: 2016 (N)
Adresse: Universit?tsstra?e 6a, 86159 Augsburg

Research Interests

  • Socially Assistive Robotics
  • Multimodal Behavioral Analytics
  • Applied Machine Learning in Education and Healthcare
  • Data-driven modelling?

Links

Publications
Social Networks
CV

Open Topics for Final Thesis and Project Modules

I am open to supervising bachelors and masters thesis and project modules in the area of human-robot interaction, multimodal data analytics, engagement modelling, user studies in education and therapy settings, and generally any topic in human-computer interaction that alligns with my research interests too. Please ping me if you have any relevant topic that you would like to work on or would like to have a chat on currently available topics. I'm always open to new ideas and brainstorming together!?

Currently Teaching

?

Human-Robot Interaction?

Lecture + Exercises?

8 ECTS?

Masters Level course?

Selected Publications

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2016 | 2013 | 2012

2024

Jauwairia Nasir, Barbara Bruno and Pierre Dillenbourg. 2024. Social robots as skilled ignorant peers for supporting learning. Frontiers in Robotics and AI 11, 1385780. DOI: 10.3389/frobt.2024.1385780
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2023

Jauwairia Nasir, Mortadha Abderrahim, Barbara Bruno and Pierre Dillenbourg. 2023. An HMM-based real-time intervention methodology for a social robot supporting learning. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 28-31 August 2023, Busan, Republic of Korea. IEEE, Los Alamitos, CA, 2204-2211 DOI: 10.1109/ro-man57019.2023.10309430
BibTeX | RIS | DOI

Daniel C. Tozadore, Jauwairia Nasir, Sarah Gillet, Rianne van den Berghe, Arzu Guneysu and Wafa Johal. 2023. Robots for Learning 7 (R4L): a look from stakeholders' perspective. In Ginevra Castellano, Laurel Riek, Maya Cakmak, Iolanda Leite (Eds.). HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, March 13-16, 2023, Stockholm, Sweden. ACM, New York, NY, 935-937 DOI: 10.1145/3568294.3579958
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Jauwairia Nasir, Aditi Kothiyal, Haoyu Sheng and Pierre Dillenbourg. 2023. To speak or not to speak, and what to speak, when doing task actions collaboratively. In Mingyu Feng, Tanja K?ser, Partha Talukdar (Eds.). Proceedings of the 16th International Conference on Educational Data Mining, 11-14 July 2023, Bengaluru, India. International Educational Data Mining Society, Massachusetts, 194-206 DOI: 10.5281/zenodo.8115689
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2022

Jauwairia Nasir. 2022. Introducing productive engagement for social robots supporting learning. EPFL, Lausanne. DOI: 10.5075/epfl-thesis-9781
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Vetha Vikashini Chithrra Raghuram, Hanan Salam, Jauwairia Nasir, Barbara Bruno and Oya Celiktutan. 2022. Personalized productive engagement recognition in robot-mediated collaborative learning. In Raj Tumuluri, Nicu Sebe, Gopal Pingali, Dinesh Babu Jayagopi, Abhinav Dhall, Richa Singh, Lisa Anthony, Albert Ali Salah (Eds.). ICMI '22: Proceedings of the 2022 International Conference on Multimodal Interaction, November 7-11, 2022, Bengaluru, India. ACM, New York, NY, 632-641 DOI: 10.1145/3536221.3556569
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Jauwairia Nasir, Pierre Oppliger, Barbara Bruno and Pierre Dillenbourg. 2022. Questioning Wizard of Oz: effects of revealing the wizard behind the robot. In Andrea Orlandini (Ed.). 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 29 August - 02 September 2022, Napoli, Italy. IEEE, New York, NY, 1385-1392 DOI: 10.1109/ro-man53752.2022.9900718
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Jauwairia Nasir, Mortadha Abderrahim, Aditi Kothiyal and Pierre Dillenbourg. 2022. Temporal pathways to learning: how learning emerges in an open-ended collaborative activity. Computers and Education: Artificial Intelligence 3, 100093. DOI: 10.1016/j.caeai.2022.100093
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Jauwairia Nasir, Barbara Bruno, Mohamed Chetouani and Pierre Dillenbourg. 2022. What if social robots look for productive engagement? Automated assessment of goal-centric engagement in learning applications. International Journal of Social Robotics 14, 1, 55-71. DOI: 10.1007/s12369-021-00766-w
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2021

Jauwairia Nasir, Barbara Bruno and Pierre Dillenbourg. 2021. A social robot that looks for productive engagement. In Robots for Learning workshop at 16th Annual ACM/IEEE International Conference on Human-Robot Interaction, online conference, March 9-11, 2021. ?cole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1-3
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Jauwairia Nasir, Aditi Kothiyal, Barbara Bruno and Pierre Dillenbourg. 2021. Many are the ways to learn identifying multi-modal behavioral profiles of collaborative learning in constructivist activities. International Journal of Computer-Supported Collaborative Learning 16, 4, 485-523. DOI: 10.1007/s11412-021-09358-2
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2020

Jauwairia Nasir, Utku Norman, Barbara Bruno and Pierre Dillenbourg. 2020. "You tell, I do, and we swap until we connect all the gold mines!". ERCIM News 120, 22-23.
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Catharine Oertel, Ginevra Castellano, Mohamed Chetouani, Jauwairia Nasir, Mohammad Obaid, Catherine Pelachaud and Christopher Peters. 2020. Engagement in human-agent interaction: an overview. Frontiers in Robotics and AI 7, 92. DOI: 10.3389/frobt.2020.00092
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Jauwairia Nasir, Barbara Bruno and Pierre Dillenbourg. 2020. Is there 'ONE way' of learning? A data-driven approach. In Khiet Truong, Dirk Heylen, Mary Czerwinski, Nadia Berthouze, Mohamed Chetouani, Mikio Nakano (Eds.). ICMI '20 Companion: Companion Publication of the 2020 International Conference on Multimodal Interaction, October 25-29, 2020, virtual event, Netherlands. ACM, New York, NY, 388-391 DOI: 10.1145/3395035.3425200
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Jauwairia Nasir, Utku Norman, Barbara Bruno and Pierre Dillenbourg. 2020. When positive perception of the robot has no effect on learning. In Silvia Rossi, Adriana Tapus, Frangois Ferland, Davide Morocco (Eds.). 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 31 August 2020 - 4 September 2020, Naples, Italy. IEEE, Piscataway, NJ, 313-320 DOI: 10.1109/ro-man47096.2020.9223343
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2019

Jauwairia Nasir, Deok-Hwa Kim and Jong-Hwan Kim. 2019. ART neural network-based integration of episodic memory and semantic memory for task planning for robots. Autonomous Robots 43, 8, 2163-2182. DOI: 10.1007/s10514-019-09868-x
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Pierre Dillenbourg, Kevin Gonyop Kim, Jauwairia Nasir, Shuqing Teresa Yeo and Jennifer K. Olsen. 2019. Applying IDC theory to education in the Alps region: a response to Chan et al.'s contribution. Research and Practice in Technology Enhanced Learning 14, 1, 17. DOI: 10.1186/s41039-019-0111-6
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Laila El Hamamsy, Wafa Johal, Thibault Asselborn, Jauwairia Nasir and Pierre Dillenbourg. 2019. Learning by collaborative teaching: an engaging multi-party coWriter activity. In 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 14-18 October 2019, New Delhi, India. IEEE, Piscataway, NJ, 1-8 DOI: 10.1109/ro-man46459.2019.8956358
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Sina Shahmoradi, Jennifer K. Olsen, Stian Haklev, Wafa Johal, Utku Norman, Jauwairia Nasir and Pierre Dillenbourg. 2019. Orchestration of robotic activities in classrooms: challenges and opportunities. Lecture Notes in Computer Science 11722, 640-644. DOI: 10.1007/978-3-030-29736-7_57
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Jauwairia Nasir, Utku Norman, Wafa Johal, Jennifer K. Olsen, Sina Shahmoradi and Pierre Dillenbourg. 2019. Robot analytics: what do human-robot interaction traces tell us about learning?. In 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 14-18 October 2019, New Delhi, India. IEEE, Piscataway, NJ, 1-7 DOI: 10.1109/ro-man46459.2019.8956465
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2018

Jauwairia Nasir, Yong-Ho Yoo, Deok-Hwa Kim and Jong-Hwan Kim. 2018. User preference-based dual-memory neural model with memory consolidation approach. IEEE Transactions on Neural Networks and Learning Systems 29, 6, 2294-2308. DOI: 10.1109/tnnls.2017.2691260
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2016

Jauwairia Nasir. 2016. User preference-based integrated multi-memory neural model for improving the cognitive abilities of autonomous robots. ???????, Daejeon.
BibTeX | RIS | URL

2013

Jauwairia Nasir, Fahad Islam and Yasar Ayaz. 2013. Adaptive Rapidly-Exploring-Random-Tree-Star (RRT*) -smart: algorithm characteristics and behavior analysis in complex environments. Asia-Pacific Journal of Information Technology and Multimedia 2, 2, 39-51. DOI: 10.17576/apjitm-2013-0202-04
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Jauwairia Nasir, Fahad Islam, Usman Malik, Yasar Ayaz, Osman Hasan, Mushtaq Khan and Mannan Saeed Muhammad. 2013. RRT*-SMART: a rapid convergence implementation of RRT*. International Journal of Advanced Robotic Systems 10, 7, 299. DOI: 10.5772/56718
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2012

Fahad Islam, Jauwairia Nasir, Usman Malik, Yasar Ayaz and Osman Hasan. 2012. RRT*-Smart: rapid convergence implementation of RRT* towards optimal solution. In Ruifeng Li, Satoru Takahashi (Eds.). 2012 IEEE International Conference on Mechatronics and Automation, 5-8 August 2012, Chengdu, China. IEEE, Piscataway, NJ, 1651-1656 DOI: 10.1109/icma.2012.6284384
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