EATMINT

The EATMINT database contains multi-modal and multi-user recordings of affect and social behaviors in a collaborative setting. The following signals were recorded for 30 dyads (i.e. 60 participants) : Physiological signals: electrocardiogram, electrodermal activity (GSR), blood volume pulse, respiration and skin temperature; Behaviors: eye-movements (eye-tracking), facial expressions, software actions logs; Discourse: speech signals and transcripts. Each interaction is annotated in term of affect, collaboration and social aspects (e.g. conflict, grounding, etc.) The dataset is publicly available and we encourage researchers to use it for affective state estimation and social signal processing. If you want to access the data just request an account using the link on the top. In the case you are publishing results obtained from this dataset please cite: Chanel, G., Bétrancourt, M., Pun, T., Cereghetti, D., & Molinari, G. (2013). Assessment of computer-supported collaborative processes using interpersonal physiological and eye-movement coupling. In Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 (pp. 116-122). Geneva, Switzerland: IEEE. doi:10.1109/ACII.2013.26 In the case you are using the Arousal targets please cite: Sharma, K., & Chanel, G. (2023, October). Annotations from speech and heart rate: impact on multimodal emotion recognition. In Proceedings of the 25th International Conference on Multimodal Interaction (pp. 51-59). Please click the "Request access" button to gain access to the dataset. You might have to register a switch-edu account to register. Everyone is entitled to create such an account.

Organizational unit

SIMS - Social Intelligence and Multi-Sensing

Type

Dataset

DOI

10.26037/yareta:nluoohvzibftvfjsvunmz345ju

Referenced by the following DOI

• 10.1145/3577190.3614165
• 10.1109/ACII.2017.8273584
• 10.1109/ACII.2013.26

Keywords

Affective computing, social signal processing, computer supported collaboration