Dr.-Ing. Jaime Maldonado
Wissenschaftlicher Mitarbeiter 
Raum: 4.053 | Telefon: +49 (0)421 218 - 64293
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Interessen und Inhalte:
Seine aktuellen Forschungsschwerpunkte sind visuelle Aufmerksamkeit und Analyse von Augenbewegungen. In seiner Forschung setzt er sich mit Methoden aus der Psychophysik und Mensch-Computer-Interaktion Bereichen auseinander. Die Ergebnisse können für das Design und die Implementierung von Schnittstellen eingesetzt werden (z.B. Gaze-controlled, Attention-aware und Brain-Computer Interfaces). Er interessiert sich für experimentelle Mensch-Computer-Interaktion, maschinelles Lernen, Music Information Retrieval und Klangsynthese.
Publikationen:
Filter publications: | |
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| 2025 | |
| [13] | Robot Pouring: Modeling and Sim-to-Real Evaluation Using Causal Discovery (), In European Robotics Forum 2025 (Marco Huber, Alexander Verl, Werner Kraus, eds.), Springer Nature Switzerland, 2025. |
| [12] | Discovering the Causal Structure of Haptic Material Perception (), In Haptics: Understanding Touch; Technology and Systems; Applications and Interaction (Hiroyuki Kajimoto, Pedro Lopes, Claudio Pacchierotti, Cagatay Basdogan, Monica Gori, Betty Lemaire-Semail, Maud Marchal, eds.), Springer Nature Switzerland, 2025. |
| 2024 | |
| [11] | PRORETA 5 – building blocks for automated urban driving enhancing city road safety (), In at - Automatisierungstechnik, volume 72, 2024. |
| 2023 | |
| [10] | Representing (Dis)Similarities Between Prediction and Fixation Maps Using Intersection-over-Union Features (), In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, Association for Computing Machinery, 2023. |
| 2022 | |
| [9] | On the Use of Distribution-based Metrics for the Evaluation of Drivers' Fixation Maps Against Spatial Baselines (), In 2022 Symposium on Eye Tracking Research and Applications, ACM, 2022. |
| 2021 | |
| [8] | Object Manipulations in VR Show Task- and Object-Dependent Modulation of Motor Patterns (), In Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology, ACM, 2021. |
| [7] | A Comparison of Bottom-Up Models for Spatial Saliency Predictions in Autonomous Driving (), In Sensors, volume 21, 2021. |
| 2020 | |
| [6] | Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System (), In Energies, MDPI AG, volume 13, 2020. |
| [5] | From Human to Robot Everyday Activity (), In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. |
| [4] | Categorization of Contact Events as Intended or Unintended usingPre-Contact Kinematic Features (), In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020. |
| [3] | Pre-Contact Kinematic Features for the Categorization of Contact Events as Intended or Unintended (), In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020. |
| 2019 | |
| [2] | Adaptivity of End Effector Motor Control Under Different Sensory Conditions: Experiments with Humans in Virtual Reality and Robotic Applications (), In Frontiers in Robotics and AI, 2019. |
| 2018 | |
| [1] | Exploring Human Kinematic Control for Robotics Applications: The Role of Afferent Sensory Information in a Precision Task (), In IROS 2018: Workshop - Towards Robots that Exhibit Manipulation Intelligence, 2018. |
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