Tim Schreiter
Befattning: Doktorand Organisation: Institutionen för naturvetenskap och teknikE-post: tim.schreiter@oru.se
Telefon: Telefonnummer saknas
Rum: T1227
Forskningsprojekt
Pågående projekt
Forskargrupper
Publikationer
Artiklar i tidskrifter |
Konferensbidrag |
Artiklar i tidskrifter
- Morillo-Mendez, L. , Stower, R. , Sleat, A. , Schreiter, T. , Leite, I. , Martinez Mozos, O. & Schrooten, M. G. S. (2023). Can the robot "see" what I see? Robot gaze drives attention depending on mental state attribution. Frontiers in Psychology, 14.
Konferensbidrag
- Schreiter, T. , Morillo-Mendez, L. , Chadalavada, R. T. , Rudenko, A. , Billing, E. , Magnusson, M. , Arras, K. O. & Lilienthal, A. J. (2023). Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. I: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) Proceedings. Konferensbidrag vid 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, South Korea, August 28-31, 2023. (ss. 293-300). IEEE.
- Almeida, T. , Rudenko, A. , Schreiter, T. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Kucner, T. P. , Martinez Mozos, O. & et al. (2023). THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-Conditioned Human Motion Prediction. I: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Konferensbidrag vid IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Paris, France, October 2-6, 2023. (ss. 2192-2201). IEEE.
- Schreiter, T. , Morillo-Mendez, L. , Chadalavada, R. T. , Rudenko, A. , Billing, E. A. & Lilienthal, A. J. (2022). The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction. I: SCRITA Workshop Proceedings (arXiv:2208.11090). Konferensbidrag vid 31st IEEE International Conference on Robot & Human Interactive Communication, Naples, Italy, August 29 - September 2, 2022.
- Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Kucner, T. P. , Martinez Mozos, O. & et al. (2022). The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. Konferensbidrag vid 31st IEEE International Conference on Robot & Human Interactive Communication, Naples, Italy, August 29 - September 2, 2022.