Tony Zhang

E-Mail	zhang ät fortiss.org (bevorzugt) tony.zhang ät ifi.lmu.de
Telefon	(089) 3603522 196
Adresse	Tony Zhang fortiss GmbH Guerickestraße 25 80805 München
Weiteres	Google Scholar ResearchGate LinkedIn

Forschung

Meine Forschung bei fortiss dreht sich um die Mensch-KI-Interaktion. Konkret bin ich daran interessiert, wie KI trotz ihrer Unvollkommenheit die menschliche Entscheidungsfindung in kritischen Domänen wie der Luftfahrt, dem Finanz- oder dem Gesundheitswesen unterstützen kann. Zu diesem Zweck untersuche ich, wie KI die menschliche Entscheidungsfindung erweitern kann, anstatt eine Entscheidung zu empfehlen, ohne den Menschen einzubeziehen.

Wenn Du Deine Abschlussarbeit an der Schnittstelle zwischen HCI und KI schreiben möchtest, dann schreib mir gerne eine E-Mail. Sollte ich im Moment kein Thema ausgeschrieben haben, solltest Du idealerweise selbst ein Thema vorschlagen; je konkreter, desto besser. Wir können uns dann zusammensetzen und die Details besprechen.

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Beendet

2023
Marc-Michael Wendt	master thesis	Large Language Models and Conversational AI: A Comparative Analysis of their Potentials, Challenges and Emerging Issues in the Context of Decision Support
Felicitas Buchner	master thesis	The Fine Line Between Assistance and Dependence: The Impact of Task Difficulty and AI Explanation on User Overreliance
2022
Sven Tong	master thesis	Is human overreliance on AI provoked by study designs?
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

Publikationen

2024
Download	Tony Zhang, Seniha Ketenci Argin, Mustafa Baha Bilen, Dogan Urgun, Sencer Melih Deniz, Yuanting Liu, Mariam Hassib Measuring the Effect of Mental Workload and Explanations on Appropriate AI Reliance Using EEG The Version of Record of this manuscript has been published and is available in Behaviour & Information Technology, November 26, 2024, https://www.tandfonline.com/10.1080/0144929X.2024.2431055. (bib)
Download	Tony Zhang, Sebastian Feger, Lucas Dullenkopf, Rulu Liao, Lou Süsslin, Yuanting Liu, Andreas Butz Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process Proceedings of the ACM on Human-Computer Interaction Vol. 8, No. CSCW2. DOI: https://doi.org/10.1145/3687024 (bib)
Download	Tony Zhang, Felicitas Buchner, Yuanting Liu, Andreas Butz You Can Only Verify When You Know the Answer: Feature-Based Explanations Reduce Overreliance on AI for Easy Decisions, but Not for Hard Ones Mensch und Computer 2024 (MuC '24). DOI: https://doi.org/10.1145/3670653.3670660 (bib)
2023
Download	Tony Zhang, Sven Tong, Yuanting Liu, Andreas Butz Is Overreliance on AI Provoked by Study Design? 19th IFIP TC13 International Conference On Human-Computer Interaction (INTERACT 2023). The final publication is available at Springer via https://doi.org/10.1007/978-3-031-42286-7_3 (bib)
Download	Tony Zhang, Yuanting Liu, Andreas Butz Designing AI for Appropriation Will Calibrate Trust CHI TRAIT '23: Workshop on Trust and Reliance in AI-Assisted Tasks at CHI 2023 (bib)
Download	Tony Zhang, Cara Storath, Yuanting Liu, Andreas Butz Resilience Through Appropriation: Pilots' View on Complex Decision Support 28th International Conference on Intelligent User Interfaces (IUI '23). DOI: https://doi.org/10.1145/3581641.3584056 (bib)
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

Committees

MUM 2024 Posters: Program Committee
CHI 2024 Workshop on Trust and Reliance in Evolving Human-AI Workflows (TREW): Program Committee
FAccT 2023: Program Committee
CHI 2023 Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT): Program Committee
CHI 2022 Workshop on Trust and Reliance in AI-Human Teams (TRAIT): Program Committee
IUI 2022 Workshop on Transparency and Explanations in Smart Systems (TExSS): Program Committee

Peer Reviews

Student Volunteering

IUI 2022