Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
MCI-WS12: MCI-WS12 - UCAI 2022: Workshop on User-Centered Artificial Intelligence
Sunday, 04/Sept/2022:
2:00pm - 5:30pm

Session Chair: Hanna Hauptmann
Session Chair: Benedikt Loepp
Location: S1|03 / 113

The workshop aims at sharing and discussing recent developments at the intersection of HCI and AI, and at exploring novel methodological, technical, and interaction approaches. We expect researchers with diverse disciplinary backgrounds to contribute to advancing the research agenda in this emerging field of human-centered artificial intelligence. In addition to the four accepted peer-reviewed papers, the workshop will feature two exciting keynotes. Please find the complete program on the workshop website.

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2:00pm - 2:20pm

UCAI 2022: Workshop on User-Centered Artificial Intelligence

Daniel Buschek1, Hanna Hauptmann2, Hendrik Heuer3, Benedikt Loepp4, Andreas Riener5, Enes Yigitbas6

1University of Bayreuth; 2Utrecht University; 3University of Bremen; 4University of Duisburg-Essen; 5Ingolstadt University of Applied Sciences; 6Paderborn University

2:20pm - 2:40pm

Human in the loop information extraction increases efficiency and trust

Johannes Schleith1, Hella Hoffmann1, Milda Norkute2, Brian Cechmanek1

1Thomson Reuters, United Kingdom; 2Thomson Reuters, Switzerland

2:40pm - 3:00pm

Enabling Informational Autonomy through Explanation of Content Moderation: UI Design for Hate Speech Detection

Lukas Sontheimer, Johannes Schäfer, Thomas Mandl

University of Hildesheim, Germany

3:00pm - 3:20pm

Effective Toxicity Prediction in Online Multiplayer Gaming: Four Obstacles to Making Approaches Usable

Julian Frommel1, Regan Mandryk2

1Utrecht University, Netherlands; 2University of Saskatchewan, Canada

3:20pm - 3:40pm

Personalised Training: Integrating Recommender Systems in XR Training Platforms

Daniele Pretolesi

Austrian Institute of Technology, Austria

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