Miss Laura Hensel
- Affiliate (School of Psychology & Neuroscience)
Publications
2025
Hensel, Laura B., Cheng, Stephanie and Marsella, Stacy 
ORCID: https://orcid.org/0000-0002-5711-7934
(2025)
A richly annotated dataset of co-speech hand gestures across diverse speaker contexts.
Scientific Data, 12,
1748.
(doi: 10.1038/s41597-025-06020-6)
(PMID:41193492)
(PMCID:PMC12589646)
2024
Bjornsdottir, R. Thora, Hensel, Laura B., Zhan, Jiayu, Garrod, Oliver G. B., Schyns, Philippe G. ORCID: https://orcid.org/0000-0002-8542-7489 and Jack, Rachael E. ORCID: https://orcid.org/0000-0003-3687-0799
(2024)
Social class perception is driven by stereotype-related facial features.
Journal of Experimental Psychology: General, 153(3),
pp. 742-753.
(doi: 10.1037/xge0001519)
(PMID:38271012)
2023
Hensel, Laura B., Yongsatianchot, Nutchanon, Torshizi, Parisa, Minucci, Elena and Marsella, Stacy (2023) Large language models in textual analysis for gesture selection. 25th International Conference on Multimodal Interaction, Paris, France, 9-13 Oct 2023. 378–387. ISBN 9798400700552 (doi: 10.1145/3577190.3614158)
Articles
Hensel, Laura B., Cheng, Stephanie and Marsella, Stacy ORCID: https://orcid.org/0000-0002-5711-7934
(2025)
A richly annotated dataset of co-speech hand gestures across diverse speaker contexts.
Scientific Data, 12,
1748.
(doi: 10.1038/s41597-025-06020-6)
(PMID:41193492)
(PMCID:PMC12589646)
Bjornsdottir, R. Thora, Hensel, Laura B., Zhan, Jiayu, Garrod, Oliver G. B., Schyns, Philippe G. ORCID: https://orcid.org/0000-0002-8542-7489 and Jack, Rachael E. ORCID: https://orcid.org/0000-0003-3687-0799
(2024)
Social class perception is driven by stereotype-related facial features.
Journal of Experimental Psychology: General, 153(3),
pp. 742-753.
(doi: 10.1037/xge0001519)
(PMID:38271012)
Conference or Workshop Item
Hensel, Laura B., Yongsatianchot, Nutchanon, Torshizi, Parisa, Minucci, Elena and Marsella, Stacy (2023) Large language models in textual analysis for gesture selection. 25th International Conference on Multimodal Interaction, Paris, France, 9-13 Oct 2023. 378–387. ISBN 9798400700552 (doi: 10.1145/3577190.3614158)