Diana Carolina Hernandez Bocanegra (former member)

I joined the Interactive Systems Group in 2018. I have a MSc in cognitive sciences from TU Kaiserslautern, and a BSc in systems engineering and informatics from Universidad Nacional de Colombia. I worked as a research assistant at the Universitätsklinikum Hamburg-Eppendorf (UKE), in the lab of Prof. Tobias Donner, where I also wrote my thesis on computational neuroscience applied to decision making. My research interests are focused on recommender systems, explainable AI and the exploration of deep learning and NLProc techniques to improve human-computer interaction.

Thesis

Contact

Mail

Publications

Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of Interactivity

Hernandez-Bocanegra, D. C., & Ziegler, J. (2023). ACM Transactions on Interactive Intelligent Systems (TiiS), 13(2).

Development of an Instrument for Measuring Users’ Perception of Transparency in Recommender Systems

Hellmann, M., Hernandez Bocanegra, D., & Ziegler, J. (2022). In A. Smith-Renner & O. Amir (Eds.), Workshops at the International Conference on Intelligent User Interfaces (IUI) 2022: Proceedings of the IUI 2022 Workshops: APEx-UI, HAI-GEN, HEALTHI, HUMANIZE, TExSS, SOCIALIZE (Vol. 3124, pp. 156–165). RWTH Aachen.

Argumentative Explanations for Recommendations Based on Reviews

Hernandez Bocanegra, D. C. (2022). [PhD thesis, University of Duisburg-Essen].

ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems

Hernandez-Bocanegra, D. C., & Ziegler, J. (2021). Interfaces and Human Decision Making for Recommender Systems 2021: Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2948, 3–20.

Effects of Interactivity and Presentation on Review-Based Explanations for Recommendations

Hernandez Bocanegra, D. C., & Ziegler, J. (2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: Proceedings, Part II (Vol. 12933, pp. 597–618). Springer.

Adaptive Circuit Dynamics Across Human Cortex During Evidence Accumulation in Changing Environments

Murphy, P. R., Wilming, N., Hernandez-Bocanegra, D. C., Prat-Ortega, G., & Donner, T. H. (2021). Nature Neuroscience, in press.

Conversational Review-based Explanations for Recommender Systems: Exploring Users’ Query Behavior

Hernandez-Bocanegra, D. C., & Ziegler, J. (2021). CUI 2021 - 3rd Conference on Conversational User Interfaces.

Towards a Better Understanding of Online Influence: Differences in Twitter Communication Between Companies and Influencers

Hernandez-Bocanegra, D. C., Borchert, A., Brünker, F., Shahi, G. K., & Ross, B. (2020). Proceedings of the 31st Australasian Conference on Information Systems (ACIS 2020), 18.

Towards a Better Understanding of Online Influence: Differences in Twitter Communication Between Companies and Influencers

Hernandez Bocanegra, D. C., Borchert, A., Brünker, F., Shahi, G. K., & Ross, B. (2020). ACIS 2020 Proceedings, 18.

Argumentative explanations for recommendations - Effect of display style and profile transparency

Hernandez Bocanegra, D. C., & Ziegler, J. (2020). In C. Hansen, A. Nürnberger, & B. Preim (Eds.), Mensch und Computer 2020.

Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics

Hernandez-Bocanegra, D. C., & Ziegler, J. (2020). i-Com: Journal of Interactive Media, 19(3), 181–200.

Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations

Hernandez-Bocanegra, D. C., Donkers, T., & Ziegler, J. (2020). Adjunct Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’20 Adjunct), 219–225.

Assessing the Helpfulness of Review Content for Explaining Recommendations

Hernandez Bocanegra, D. C., & Ziegler, J. (2019). EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search.