Tony Zhang

E-Mail	tony.zhang@ifi.lmu.de
Address	Tony Zhang fortiss GmbH Guerickestraße 25 80805 Munich, Germany

Research

My research at fortiss is about human-AI interaction. In particular, I am interested in how imperfect AI models can be brought into high-stakes domains like aviation, finance, or healthcare. If you are interested in the intersection between HCI and AI, please reach out to me via e-mail.

Theses

Open

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In Progress

Jenny Phu	master thesis	Supporting Decisions With AI: Exploring Alternatives to Fully Automatic Suggestions
Amina Dacikj	master thesis	Konzipierung und Entwicklung eines Data Analytics Bots, der auf Basis eines Knowledge Graphs Daten automatisch analysiert

Completed

Jessica Spornraft

bachelor thesis

Identifikation von Designmöglichkeiten für interaktive KI-Entscheidungsunterstützung

Open Positions as HiWi and Working Student

Student Assistant (m/f/d) - Human-AI interaction design for aviation

At fortiss, we are currently doing research with the aviation industry on how pilots could interact with AI in the cockpit. To this end, we are working on a low-fidelity demonstrator of an AI-based assistance system to test our interaction concepts with real pilots. We are looking for a student to help us build this up. If you are a user-oriented and hands-on person who is into the intersection of HCI and AI, this might be an interesting job for you. And if you are an aviation enthusiast, all the better!

Publications

2021
Download	Tony Zhang, Yuanting Liu, Heinrich Hussmann Pilot Attitudes Toward AI in the Cockpit: Implications for Design Proceedings of 2nd IEEE International Conference on Human-Machine Systems. DOI: https://www.doi.org/10.1109/ICHMS53169.2021.9582448 (bib)
Download	Tony Zhang, Yuanting Liu, Heinrich Hussmann Forward Reasoning Decision Support: Toward a More Complete View of the Human-AI Interaction Design Space CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter. DOI: https://doi.org/10.1145/3464385.3464696 (bib)
Download	Tony Zhang, Heinrich Hussmann How to Manage Output Uncertainty: Targeting the Actual End User Problem in Interactions with AI IUI 2021 Workshop on Transparency and Explanations in Smart Systems (TExSS) (bib)