392278 ISY Project: Evaluation of XAI Methods for Affective Computing (Pj) (SoSe 2023)
Contents, comment
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The goal of multimodal affective computing is to predict emotional states from data facial images, speech, or videos. State-of-the-art methods for affective computing are increasingly turning to complex black-box models, making it difficult to comprehend how a model came to a particular decision. In this project, you will implement state-of-the-art XAI methods for an affective computing task. You will then use these methods to perform user studies that evaluate the effectiveness and understandability of the methods for explaining model decisions.
In case the proposal would not attract enough students for a team project, it can be adapted into an individual project or a project for two students (tandem project).
Requirements for participation, required level
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Required skills:
- Python, PyTorch preferred (TensorFlow is also ok)
- Some experience / knowledge of Human Computer Interaction and user studies
- Experience implementing Deep Learning models, especially video or multimodal models
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | 03.04.-14.07.2023 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | Ungraded examination
|
Student information |
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- Last update basic details/teaching staff:
- Friday, February 3, 2023
- Last update times:
- Friday, February 3, 2023
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- Friday, February 3, 2023
- Type(s) / SWS (hours per week per semester)
- Pj / 2
- Department
- Faculty of Technology
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