Welcome to the Social Computing Group

News & Events

June 2022New Publication in MTI Journal

You might be interested in our Explore - Develop - Understand - Scrutinize - Socialize (EDUSS) framework for self-actualization goals of transparent user modeling. Check out our contribution "Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach" that will be published in the Multimodal Technologies and Interaction Journal . A preprint version of the paper can be found here.  

May 2022New Publication in ExUM@UMAP 2022

Our paper "Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study" got accepted as a full research paper at the workshop on Explainable User Models and Personalized System (ExUM 2022) in conjunction with the conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022). A preprint version of the paper is available here.

April 2022 New Publication in UMAP 2022

Our paper "Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System" got accepted as a full research paper at the conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022). A preprint version of the paper is available here.

April 2022HCI and LA Student Projects

The results of the student projects developed in the Human-Computer Interaction (HCI) and Learning Analytics lecture course in the winter semester of 2021/22 are now available, including open-source codes, demos, and advertisement videos.

Teams of students in HCI participated in a two-months project to design and build a prototype around a set of user needs. The teams are tasked with milestones to move them towards a high-fidelity prototype as 
proof-of-concept that is presented in slides and demos at the end of the course. We were impressed with the quality of their projects.

February 2022New Publication in APEx-UI@IUI 2022

Our paper "A Multi-Dimensional Conceptualization Framework for Personalized Explanations in Recommender Systems" got accepted at the workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI) in conjunction with the conference on Intelligent User Interfaces (ACM IUI 2022). In this work, we present a multi-dimensional conceptualization framework for personalized explanations in recommender systems, based on five dimensions: WHAT to personalize?, TO WHOM to personalize?, WHO does the personalization?, WHY personalize?, and HOW to personalize?. The paper can be found here.

January 2022New Publication

You might be interested in how to effectively bring together theories and models from self-regulated learning, learning analytics, human-centered design, and information visualization. Check out our contribution "Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications" recently published as a chapter in the book "Visualizations and Dashboards for Learning Analytics. Advances in Analytics for Learning and Teaching" by Springer . In this chapter, we present the Student-Centered Learning Analytics-enhanced Self-Regulated Learning (SCLA-SRL) methodology for building theory-driven LA-enhanced SRL applications for and with learners. A preprint version of the chapter can be found here.

December 2021AWT and IDEA Student Projects

The results of the student projects developed in the Advanced Web Technologies (AWT) lecture course and Interactive Data Exploration and Analytics (IDEA) lab in summer semester 2021 are now available, including open-source codes, demos, and advertisement videos. Our students managed again to provide excellent projects and we are proud of them!

August 2021New Publication in IntRS@RecSys 2021

Our paper "Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details" has been accepted at the ACM RecSys 21 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2021). The paper can be found here.

Where to find us

We are located in the 4th floor of building LE - Campus Duisburg
Forsthausweg 2
47057 Duisburg

Post Address

Universität Duisburg-Essen
Fakultät für Ingenieurwissenschaften
Abteilung INKO
Fachgebiet Social Computing
47048 Duisburg