Office location:  LE 409

Office hours:  By appointment only

Phone : +49 (0) 203 379-1333

Email: mouadh.guesmi@stud.uni-due.de

Link:

Short CV

Since we are living in the era of advanced technologies and digitalization, I decided to study computer science in the higher institute of computer science and management in Kairouan, Tunisia. After obtaining my bachelor's degree in computer science, I opted for a research master in intelligent information systems at the same institute where I covered several subjects in depth like Learning Technologies, Game-Based Learning, Personalization, User Modeling, Educational Data Mining, and Learning theories Since February 2019, I have been a Ph.D. Student in the Social Computing Group, Department of Computer Science and Applied Cognitive Science (INKO), Faculty of Engineering at the University of Duisburg-Essen, Germany.

Research Interests

• Human centered interface
• User modeling and personalization
• Explainable Recommender Systems
• information visualization

Academic Qualifications

Sep 2014 - Apr 2018
Master in Intelligent Information Systems
The University of Kairouan, Higher Institute of Computer Science and Management, Tunisia

Sep 2011 - May 2014
Bachelor in Fundamental Computer Science
The University of Kairouan, Higher Institute of Computer Science and Management, Tunisia

work experience

since Feb 2019
Research assistant and PhD student in the Social Computing Group at the University of Duisburg-Essen, Germany

Publications

• Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh, Rawaa Alatrash
  Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System   Inproceedings Open Access
  Information. 2023; 14(7):401. https://doi.org/10.3390/info14070401
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• Mouadh Guesmi, Clara Siepmann, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash
  Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study   Inproceedings  Forthcoming
  In Adjunct Proceedings of the 31th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’23 Adjunct), Limassol, Cyprus, June 2023.
  
• Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash
  What if Interactive Explanation in a Scientific Literature Recommender System   Inproceedings  
  In Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’22).
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• Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd, Thao Ngo, Shoeb Joarder, Qurat Ul Ain, Arham Muslim
  Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System  Inproceedings  
  In Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 2022.
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• Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Thao Ngo, Shoeb Joarder, Qurat Ul Ain, Arham Muslim
  Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study   Inproceedings  
  In Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’22 Adjunct), Barcelona, Spain, July 2022.
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• Mouadh Guesmi, Mohamed Amine Chatti, Alptug Tayyar, Qurat Ul Ain, Shoeb Joarder
  Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach  Journal Article  
  In Multimodal Technologies and Interaction (MTI) journal, 2022.
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• Qurat Ul Ain, Mohamed Amine Chatti, Mouadh Guesmi, Shoeb Joarder
  A Multi-Dimensional Conceptualization Framework for Personalized Explanations in Recommender Systems   Inproceedings
  In Companion Proceedings of the 27th International Conference on Intelligent User Interfaces (IUI'22).
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• Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Joarder, Qurat Ul Ain, Thao Ngo, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim
  Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details  Inproceedings
  In Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’21)
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• Mohamed Amine Chatti, Volkan Yücepur, Arham Muslim, Mouadh Guesmi, Shoeb Joarder
  Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications  Book Chapter  Forthcoming
  In M. Sahin & D. Ifenthaler (Eds.), Visualizations and Dashboards for Learning Analytics. Cham: Springer.
• Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Joarder, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim
  On-demand Personalized Explanation for Transparent Recommendation  Inproceedings
  In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’21 Adjunct).
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• Mohamed Amine Chatti, Fangzheng Ji, Mouadh Guesmi, Arham Muslim, Ravi Kumar Singh, and Shoeb Ahmed Joarder
  SIMT: A Semantic Interest Modeling Toolkit  Inproceedings
  In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’21 Adjunct).
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• Mouadh Guesmi, Mohamed Amine Chatti, Yiqi Sun, Shadi Zumor,Fangzheng Ji, Arham Muslim, Laura Vorgerd, and Shoeb Ahmed Joarder
  Open, Scrutable and Explainable Interest Models for Transparent Recommendation  Inproceedings
  In Companion Proceedings of the 26th International Conference on Intelligent User Interfaces (IUI'21).
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• Mohamed Amine Chatti, Arham Muslim, Mouadh Guesmi, Florian Richtscheid, Dawood Nasimi, Amin Shahin, and Ritesh Damera
  How to Design Effective Learning Analytics Indicators? A Human-Centered Design Approach  Inproceedings
  In Proceedings of the Fifteenth European Conference on Technology Enhanced Learning (ECTEL'20), pp. 303-317, 2020.
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• Mohamed Amine Chatti, Arham Muslim, Manpriya Guliani, Mouadh Guesmi
  The LAVA Model: Learning Analytics Meets Visual Analytics  Book Chapter  
  In D. Ifenthaler & D. Gibson (Eds.), Adoption of Data Analytics in Higher Education Learning and Teaching (pp. 71-93). Cham: Springer.
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• Arham Muslim, Mohamed Amine Chatti, Mouadh Guesmi
  Open Learning Analytics: A Systematic Literature Review and Future Perspectives   Book Chapter 
  In N Pinkwart & S Liu (Eds.), Artificial Intelligence Supported Educational Technologies (pp. 3-29). Cham: Knight .
    
• Mouadh Guesmi, Mohamed Amine Chatti, Arham Muslim
  A Review of Explanatory Visualizations in Recommender Systems   Inproceedings
  In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK'20), pp. 480-491, 2020