Tony Zhang

E-Mail	zhang ät fortiss.org (preferred) tony.zhang ät ifi.lmu.de
Phone	+49 89 3603522 196
Address	Tony Zhang fortiss GmbH Guerickestraße 25 80805 Munich, Germany
Other	Google Scholar ResearchGate LinkedIn

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

2022
Sven Tong	master thesis	Is human overreliance on AI provoked by study designs?

Completed

2022
Amina Dacikj	master thesis	Konzipierung und Entwicklung eines Data Analytics Bots, der auf Basis eines Knowledge Graphs Daten automatisch analysiert
Jenny Phu	master thesis	Supporting Decisions With AI: Exploring Alternatives to Fully Automatic Suggestions
Yuliia Shaparenko	bachelor thesis	When do humans overrely on AI? Investigating the effect of task difficulty
2021
Jessica Spornraft	bachelor thesis	Identifikation von Designmöglichkeiten für interaktive KI-Entscheidungsunterstützung

Publications

2022
Download	Cara Storath, Tony Zhang, Yuanting Liu, Heinrich Hussmann Building Trust by Supporting Situation Awareness: Exploring Pilots' Design Requirements for Decision Support Tools CHI TRAIT '22: Workshop on Trust and Reliance in Human-AI Teams at CHI 2022 (bib)
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)

Community