Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System

Author:

Guesmi Mouadh1ORCID,Chatti Mohamed Amine1ORCID,Joarder Shoeb1ORCID,Ain Qurat Ul1ORCID,Alatrash Rawaa1ORCID,Siepmann Clara1ORCID,Vahidi Tannaz1

Affiliation:

1. Social Computing Group, Faculty of Computer Science, University of Duisburg-Essen, Duisburg, Germany

Funder

German Research Foundation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Reference78 articles.

1. Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., Kankanhalli, M. (2018). Trends and trajectories for explainable, accountable and intelligible systems: An HCI research agenda. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1–18). ACM.

2. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

3. Ain, Q. U., Chatti, M. A., Guesmi, M., Joarder, S. (2022). A multi-dimensional conceptualization framework for personalized explanations in recommender systems. In Companion Proceedings of the 27th International Conference on Intelligent User Interfaces. ACM.

4. Power to the People: The Role of Humans in Interactive Machine Learning

5. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

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