PAVE · Creating a Panoramic View of Emotion Communication
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2022-02-01 → 2025-01-31
- EU contribution
- €269,998
- Participants
- 2
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Creating a Panoramic View of Emotion Communication
People communicate emotions constantly. They express their emotions, intentionally and unintentionally, through their behaviour, language, and body; perceivers readily observe and interpret those expressions in others. The dynamics of this emotion communication process are key to successful social interactions. PAVE aims to capture these dynamics by adopting a panoramic approach to emotional communication: looking at how the same emotional experience is expressed in multiple streams (e.g., face-to-face and on social media), and is perceived by multiple observers (e.g., friends, partners, and automated algorithms). Understanding emotion communication better can help people lead better relationships in their personal and professional lives. This is crucial because not only do most people value good relationships in and of themselves, research has shown that good relationships are associated with better health and wellbeing. The project aims to (i) advance basic science on emotion communication (ii) develop new tools to help future researchers studying these issues (iii) assist in the development of couple intervention schemes to improve romantic and other relationships (iv) assist companies in developing automated emotion sensing capabilities. The project advanced basic science on emotion communication by generating findings regarding social inferences and relationships, and emotion dynamics in conversations. These findings can be used in the future to assist in development of couple intervention schemes. It has generated a large open dataset examining emotions in friend relationships, coupled with sensor data, which will serve as a valuable tool for other researchers and companies. It has also resulted in a new software package for location data analysis, which can also assist researchers and companies.
Data: CORDIS, © European Union
Project objective
People communicate emotions constantly. They express their emotions, intentionally and unintentionally, through their behaviour, language, and body; perceivers readily observe and interpret those expressions in others. These emotion communication dynamics are key to successful social interaction. The proposed project will capture these dynamics by adopting a panoramic, multi-modal approach to emotional communication: looking at how the same emotional experience is expressed in multiple streams (e.g., face-to-face and on social media), and is perceived by multiple observers (e.g., friends, romantic partners, and automated algorithms). This approach can go beyond existing research on emotion communication, which is stymied by attempts to isolate specific unimodal communication streams. The outgoing phase, which will take place at Princeton University, supervised by Prof. Diana Tamir, will use this integrated approach to examine whether the positive outcomes generally associated with emotional disclosure requires the disclosee to gain accurate understanding of the discloser’s emotions; to identify when different perceivers will be accurate vs. inaccurate; and to develop new algorithms for automated multi-modal emotion perception. The incoming phase, which will take place at the University of Haifa, supervised by Prof. Simone Shamay-Tsoory, will examine the neural mechanisms supporting the emotion communication processes studied in the outgoing phase. The project has the capacity to advance basic science in psychology, neuroscience and computer science, with multiple real world applications: distinguishing the roles of disclosure and accuracy, can help encourage healthy, beneficial disclosure; identifying relative strengths and weaknesses of communication modalities can help improve interpersonal accuracy, which can lead to better relationships; improved automated emotion assessment can help emotion research, clinical treatment, and emotion-aware software development.
Original text from CORDIS.
Participants
- UNIVERSITY OF HAIFA · HaifaCoordinatorIsrael
- TRUSTEES OF PRINCETON UNIVERSITY · Princeton, NjUnited States
Links
Data: CORDIS, © European Union