This image shows Melanie Heck

Melanie Heck

Dr. rer. pol.

Researcher
IPVS
Distributed Systems

Contact

Universitätsstraße 38
70569 Stuttgart
Germany
Room: 2.362

Subject

I primarily conduct research in the field of Human-Computer Interaction, with a particular focus on cognitive state prediction from behavioral data. Adopting a holistic perspective, I investigate (1) methods to predict the cognitive state of a user, and (2) adaptation strategies that use the predicted state to dynamically adapt the user interface.

  1. Heck, M. (2023). Presentation adaptation for multimodal interface systems: Three essays on the effectiveness of user-centric content and modality adaptation. https://madoc.bib.uni-mannheim.de/64288/
  2. Heck, M., Becker, C., & Deutscher, V. (2023). Webcam Eye Tracking for Desktop and Mobile Devices: A Systematic Review. Hawaii International Conference on System Sciences 2023. https://hdl.handle.net/10125/103459
  3. Heck, M., Edinger, J., & Becker, C. (2022, March). Lessons Learned from an Eye Tracking Study for Targeted Advertising in the Wild. 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Workshops). https://doi.org/10.1109/percomworkshops53856.2022.9767470
  4. Heck, M., Shon, S. H., & Becker, C. (2022, March). Does Using Voice Authentication in Multimodal Systems Correlate With Increased Speech Interaction During Non-critical Routine Tasks? 27th International Conference on Intelligent User Interfaces. https://doi.org/10.1145/3490099.3511129
  5. Heck, M., Edinger, J., Bünemann, J., & Becker, C. (2021, April). The Subconscious Director: Dynamically Personalizing Videos Using Gaze Data. 26th International Conference on Intelligent User Interfaces. https://doi.org/10.1145/3397481.3450679
  6. Heck, M., Edinger, J., Bünemann, J., & Becker, C. (2021, March). Exploring Gaze-Based Prediction Strategies for Preference Detection in Dynamic Interface Elements. Proceedings of the 2021 Conference on Human Information Interaction and Retrieval. https://doi.org/10.1145/3406522.3446013
  7. Heck, M., Edinger, J., & Becker, C. (2021, May). Conditioning Gaze-Contingent Systems for the Real World: Insights from a Field Study in the Fast Food Industry. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3411763.3451658
  8. Heck, M., Sonntag, P., & Becker, C. (2021, June). Is This Really Relevant? A Guide to Best Practice Gaze-based Relevance Prediction Research. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. https://doi.org/10.1145/3450614.3464476
  9. Heck, M., Edinger, J., & Becker, C. (2019, October). Gaze-based Product Filtering. The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology. https://doi.org/10.1145/3332167.3357120
  10. Heck, M., Edinger, J., Schaefer, D., & Becker, C. (2018, July). IoT Applications in Fog and Edge Computing: Where Are We and Where Are We Going? 2018 27th International Conference on Computer Communication and Networks (ICCCN). https://doi.org/10.1109/icccn.2018.8487455
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