Publications

Maurice Koch, Nelusa Pathmanathan, Daniel Weiskopf, and Kuno Kurzhals. Supplemental Material for "A Multimodal Framework for Understanding Collaborative Design Processes". 2025. [PUMA: darus mult ubs_10005 ubs_10017 ubs_20008 ubs_20035 ubs_30086 ubs_40132 unibibliografie]

Rudolf Netzel, Nils Rodrigues, Anja Haug, and Daniel Weiskopf. Compensation of Simultaneous Orientation Contrast in Superimposed Textures. In Andreas Kerren, Christophe Hurter, and Jose Braz (Eds.), Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, (3 : IVAPP):48-57, SciTePress, Setúbal, 2019. [PUMA: dimensions mult oa ubs_10005 ubs_10017 ubs_20008 ubs_20035 ubs_30086 ubs_40132 unibibliografie]

Ekta Sood. Bridging cognitive and deep learning models of attention. Stuttgart, 2025. [PUMA: diss oa phsimtech ubs_10005 ubs_20008 ubs_30086 ubs_40538 unibibliografie]

Yuri Miyagi, Nils Rodrigues, Daniel Weiskopf, and Takayuki Itoh. N-gram による視線軌跡からのAOI 推移パターン抽出と軌跡形状の可視化. The journal of the Society for Art and Science, (18)4:125-133, Society for Art and Science, 2019. [PUMA: dimensions mult ubs_10005 ubs_10017 ubs_20008 ubs_20035 ubs_30086 ubs_40132 unibibliografie]

Patrick Gebhardt, Maximilian Weiß, Pascal Huszár, Xingyao Yu, Alexander Achberger, Xiaobing Zhang, and Michael Sedlmair. Auxiliary Means to Improve Motion Guidance Memorability in Extended Reality. 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 689-690, IEEE, 2023. [PUMA: dimensions mult ubs_10005 ubs_10017 ubs_20008 ubs_20036 ubs_30086 ubs_40388 unibibliografie]

Nina Dörr, Katrin Angerbauer, Melissa Reinelt, and Michael Sedlmair. Bees, Birds and Butterflies : Investigating the Influence of Distractors on Visual Attention Guidance Techniques. In Albrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, and Anicia Peters (Eds.), CHI EA '23 : Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 51, Association for Computing Machinery, New York, 2023. [PUMA: dimensions mult ubs_10005 ubs_10017 ubs_20008 ubs_20036 ubs_30086 ubs_40388 unibibliografie]

Markus Wieland, Michael Sedlmair, and Tonja-Katrin Machulla. VR, Gaze, and Visual Impairment : An Exploratory Study of the Perception of Eye Contact across different Sensory Modalities for People with Visual Impairments in Virtual Reality. In Albrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, and Anicia Peters (Eds.), CHI EA '23 : Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, 2023. [PUMA: dimensions mult ubs_10005 ubs_10017 ubs_20008 ubs_20036 ubs_30086 ubs_40388 unibibliografie]

Jamie Ullerich, Maximiliane Windl, Andreas Bulling, and Sven Mayer. ThumbPitch : Enriching Thumb Interaction on Mobile Touchscreens using Deep Learning. In Penny Sweetser (Eds.), OzCHI '22: Proceedings of the 34th Australian Conference on Human-Computer Interaction, 58-66, Association for Computing Machinery, New York, 2023. [PUMA: dimensions ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie]

Fabian Sperrle, Jürgen Bernard, Michael Sedlmair, Daniel Keim, and Mennatallah El-Assady. Speculative Execution for Guided Visual Analytics. 2018 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI), IEEE, 2018. [PUMA: dimensions ubs_10005 ubs_20008 ubs_30086 ubs_40128 unibibliografie]

Guanhua Zhang. Learning representations of interactive behaviour. Stuttgart, 2025. [PUMA: diss oa phf05 ubs_10005 ubs_20008 ubs_30086 ubs_40538 unibibliografie]

Yao Wang, Mihai Bace, and Andreas Bulling. Scanpath Prediction on Information Visualisations. IEEE transactions on visualization and computer graphics, (30)7:3902-3914, IEEE, 2023. [PUMA: dimensions ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie]

Tobias Rau, Maurice Koch, Nelusa Pathmanathan, Tobias Isenberg, Daniel Weiskopf, Michael Sedlmair, Andreas Köhn, and Kuno Kurzhals. Understanding Collaborative Learning of Molecular Structures in AR With Eye Tracking. IEEE computer graphics and applications, (44)6:39-51, IEEE, 2024. [PUMA: ubs_10003 ubs_10005 ubs_10017 ubs_20003 ubs_20008 ubs_20035 ubs_30039 ubs_30086 ubs_40066 ubs_40132 ubs_40537 unibibliografie wos]

Francesca Zermiani. The puzzle of resumption during interrupted narrative reading : towards more adaptive gaze-based attention-aware learning technologies. Stuttgart, 2025. [PUMA: diss mult oa phf05 ubs_10005 ubs_10011 ubs_20008 ubs_20016 ubs_30086 ubs_30149 ubs_40413 unibibliografie]

Ekta Sood, Fabian Kögel, Philipp Müller, Dominike Thomas, Mihai Bâce, and Andreas Bulling. Multimodal Integration of Human-Like Attention in Visual Question Answering. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2648-2658, IEEE, 2023. [PUMA: sent ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie]

Florian Strohm, Ekta Sood, Dominike Thomas, Mihai Bâce, and Andreas Bulling. Facial Composite Generation with Iterative Human Feedback. Proceedings of The 1st Gaze Meets ML workshop, 210:165-183, PMLR, 2023. [PUMA: sent ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie]

Philipp Müller, Ekta Sood, and Andreas Bulling. Anticipating Averted Gaze in Dyadic Interactions. In Andreas Bulling, Anke Huckauf, Eakta Jain, Ralph Radach, and Daniel Weiskopf (Eds.), ETRA '20 Full Papers : ACM Symposium on Eye Tracking Research and Applications, 7, Association for Computing Machinery, New York, 2020. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie]

Ekta Sood, Simon Tannert, Diego Frassinelli, Andreas Bulling, and Ngoc Thang Vu. Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension. 24th Conference on Computational Natural Language Learning, 12-25, Association For Computational Linguistics, 2020. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_30086 ubs_40336 ubs_40407 unibibliografie]

Marwan Abdou Ahmed, Ekta Sood, Philipp Müller, and Andreas Bulling. Gaze-enhanced Crossmodal Embeddings for Emotion Recognition. Proceedings of the ACM on Human-Computer Interaction, (6):138, Association for Computing Machinery, 2022. [PUMA: mult sent ubs_10005 ubs_10007 ubs_20008 ubs_20011 ubs_30086 ubs_30111 ubs_40311 ubs_40336 unibibliografie]

Ekta Sood, Lei Shi, Matteo Bortoletto, Yao Wang, Philipp Müller, and Andreas Bulling. Improving Neural Saliency Prediction with a Cognitive Model of Human Visual Attention. Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci), 45:3639-3646, University of California, California, 2023. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie] URL

Ekta Sood, Fabian Kögel, Florian Strohm, Prajit Dhar, and Andreas Bulling. VQA-MHUG : A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering. In Arianna Bisazza, and Omri Abend (Eds.), Proceedings of the 25th Conference on Computational Natural Language Learning, 27-43, Association For Computational Linguistics, 2021. [PUMA: sent ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie]