Human - Centered Multimedia

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  8. Tobias Huber

Tobias Huber M.Sc.

Research assistant
Human - Centered Multimedia
Phone: (+49)(0)821 – 598 2336
Email:
Room: 2015 (N)
Address: Universitätsstraße 6a, 86159 Augsburg

Links

Publications
Networking

Research interest

Machine Learning, Explainable Artificial Intelligence, Interpretable Machine Learning, Explainable Reinforcement Learning, Deep Reinforcement Learning, Interactive Reinforcement Learning, Human Computer Interaction

Publications

Tobias Huber
2020 | 2019 | 2018

2020

Katharina Weitz, Dominik Schiller, Ruben Schlagowski, Tobias Huber and Elisabeth André. in press. "Let me explain!": exploring the potential of virtual agents in explainable AI interaction design. Journal on Multimodal User Interfaces DOI: 10.1007/s12193-020-00332-0
PDF | BibTeX | RIS | DOI

Tobias Huber, Katharina Weitz, Elisabeth André and Ofra Amir. 2020. Local and global explanations of agent behavior: integrating strategy summaries with saliency maps. arXiv:2005.08874,
PDF | BibTeX | RIS | URL

Dominik Schiller, Tobias Huber, Michael Dietz and Elisabeth André. 2020. Relevance-based data masking: a model-agnostic transfer learning approach for facial expression recognition. Frontiers in Computer Science 2, 6. DOI: 10.3389/fcomp.2020.00006
PDF | BibTeX | RIS | DOI

Klaus Weber, Lukas Tinnes, Tobias Huber, Alexander Heimerl, Eva Pohlen, Marc-Leon Reinecker and Elisabeth André. 2020. Towards demystifying subliminal persuasiveness: using XAI-techniques to highlight persuasive markers of public speeches. Lecture Notes in Computer Science 12175, 113-128. DOI: 10.1007/978-3-030-51924-7_7
PDF | BibTeX | RIS | DOI

2019

Katharina Weitz, Dominik Schiller, Ruben Schlagowski, Tobias Huber and Elisabeth André. 2019. "Do you trust me?" Increasing user-trust by integrating virtual agents in explainable AI interaction design. In Catherine Pelachaud, Jean-Claude Martin, Hendrik Buschmeier, Gale Lucas and Stefan Kopp (Ed.). Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents - IVA '19, Paris, France, July 02 - 05, 2019. ACM Press, New York, NY, 7-9. DOI: 10.1145/3308532.3329441
PDF | BibTeX | RIS | DOI

Tobias Huber, Dominik Schiller and Elisabeth André. 2019. Enhancing explainability of deep reinforcement learning through selective layer-wise relevance propagation. Lecture Notes in Computer Science 11793, 188-202. DOI: 10.1007/978-3-030-30179-8_16
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Stanislava Rangelova, Simon Flutura, Tobias Huber, Daniel Motus and Elisabeth André. 2019. Exploration of physiological signals using different locomotion techniques in a VR adventure game. Lecture Notes in Computer Science 11572, 601-616. DOI: 10.1007/978-3-030-23560-4_44
PDF | BibTeX | RIS | DOI

Dominik Schiller, Tobias Huber, Florian Lingenfelser, Michael Dietz, Andreas Seiderer and Elisabeth André. 2019. Relevance-based feature masking: improving neural network based whale classification through explainable artificial intelligence. In Gernot Kubin and Zdravko Kačič (Ed.). Interspeech 2019, 15-19 September 2019, Graz. ISCA, 2423-2427 DOI: 10.21437/interspeech.2019-2707
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2018

Tobias Huber. 2018. Tiefes bestärkendes Lernen: Grundlagen, Approximationseigenschaft und Implementierung multimodaler Erklärungen. Masterarbeit, Universität Augsburg, Universität Augsburg, Augsburg.
PDF | BibTeX | RIS

Teaching

(applied filters: semester: current | institute: Multimodale Mensch-Technik-Interaktion | lecturers: Tobias Huber | course types: all)
name semester type
Praktikum Spieleprogrammierung winter semester 2020/21 Praktikum

Supervised theses

  • Implementation and Comparison of Occlusion-based Explainable Artificial Intelligence Methods (Bachelor, Benedikt Limmer, 2020)
  • Implementierung und Vergleich verschiedener Salienz-Karten Algorithmen für tiefes bestärkendes Lernen (Master, Patrick Bergmoser, 2019)

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