Ibrahim Al Hazwani

According to our database, Ibrahim Al Hazwani authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Exploring the Latitude of Acceptance over Several Recommendation Turns in a Game Setting.

Ibrahim Al Hazwani, Nava Tintarev

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

A Critical Reflection on the Values and Assumptions in Data Visualization.

Shehryar Saharan, Ibrahim Al Hazwani, Miriah Meyer, Laura A. Garrison

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Data Humanism Decoded: A Characterization of its Principles to Bridge Data Visualization Researchers and Practitioners.

Ibrahim Al Hazwani, Ke Er Amy Zhang, Laura A. Garrison, Jürgen Bernard

CoRR, September, 2025

f-RecX: A framework for designing effective textual explanations in recommender systems' user interfaces.

Ibrahim Al Hazwani, Gabriela Morgenshtern, Mennatallah El-Assady, Jürgen Bernard

Int. J. Hum. Comput. Stud., 2025

HUMMUS: Blending Data Humanism with Sequential Music Recommender Systems to Foster Explainability and Scrutability.

Ibrahim Al Hazwani, Matthias Mylaeus, Daniela Mormocea, Jürgen Bernard

Proceedings of the 18th International Symposium on Visual Information Communication and Interaction, 2025

Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism.

Ibrahim Al Hazwani, Daniel Lutziger, Carlos Kirchdorfer, Luca Huber, Oliver Robin Aschwanden, Jürgen Bernard, Ludovico Boratto

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations.

Ibrahim Al Hazwani, Oliver Robin Aschwanden, Oana Inel, Jürgen Bernard, Ludovico Boratto

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

HUMMUS: A Human-Centered Approach to Sequential Recommendation Explainability through Data Humanism.

Ibrahim Al Hazwani, Matthias Mylaeus, Daniela Mormocea, Jürgen Bernard, Lorenzo Porcaro

Proceedings of the 3rd Music Recommender Systems Workshop (MuRS 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

Blooming Beats: An Interactive Explainable Recommender System for Exploring Personal Music Narratives through Data Humanism Principles.

Ibrahim Al Hazwani, Nimra Ahmed, Anton Fedosov, Oliver Robin Aschwanden, Luca Huber, Daniel Lutziger, Carlos Kirchdorfer, Jürgen Bernard

Proceedings of the 16th Biannual Conference of the Italian SIGCHI Chapter, 2025

2024

ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability.

Ibrahim Al Hazwani, Tiantian Luo, Oana Inel, Francesco Ricci, Mennatallah El-Assady, Jürgen Bernard

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Towards Personal Explanations for Recommender Systems: A Study on the Impact of Familiarity and Urgency.

Ibrahim Al Hazwani, Nimra Ahmed, Mennatallah El-Assady, Jürgen Bernard

Proceedings of the Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction, 2024

Design Cards for Culturally Sensitive Mental Health Technologies: Integrating Hofstede's Cultural Dimension Theory into Human-Centered Design Processes.

Nimra Ahmed, Ibrahim Al Hazwani, Anton Fedosov, Tim Schluchter, Elaine M. Huang

Proceedings of the Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction, 2024

Cultural Dimensions and Mental Health Technology: A Systematic Review of Hofstede's Dimensions in Shaping Mental Health Experiences.

Nimra Ahmed, Xindi Liu, Ibrahim Al Hazwani, Elaine M. Huang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

How applicable are attribute-based approaches for human-centered ranking creation?

Clara-Maria Barth, Jenny Schmid, Ibrahim Al Hazwani, Madhav Sachdeva, Lena Cibulski, Jürgen Bernard

Comput. Graph., August, 2023

Interaction Tasks for Explainable Recommender Systems.

Ibrahim Al Hazwani, Turki Alahmadi, Kathrin Wardatzky, Oana Inel, Mennatallah El-Assady, Jürgen Bernard

Proceedings of the 25th Eurographics Conference on Visualization, 2023

ExpLIMEable: A Visual Analytics Approach for Exploring LIME.

Sonia Laguna, Julian N. Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady

Proceedings of the Workshop on Visual Analytics in Healthcare, 2023

Why am I reading this? Explaining Personalized News Recommender Systems.

Sverrir Arnórsson, Florian Abeillon, Ibrahim Al Hazwani, Jürgen Bernard, Hanna Hauptmann, Mennatallah El-Assady

Proceedings of the 14th International EuroVis Workshop on Visual Analytics, 2023

2022

A Design Space for Explainable Ranking and Ranking Models.

Ibrahim Al Hazwani, Jenny Schmid, Madhav Sachdeva, Jürgen Bernard

Proceedings of the 24th Eurographics Conference on Visualization, 2022

RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings.

Jenny Schmid, Lena Cibulski, Ibrahim Al Hazwani, Jürgen Bernard

Proceedings of the 13th International EuroVis Workshop on Visual Analytics, 2022