Bridging the gap between emotion and joint action

Bieńkiewicz, Marta; Smykovskyi, Andrii; Olugbade, Temitayo; Janaqi, Stefan; Camurri, Antonio; Bianchi-Berthouze, Nadia; Björkman, Mårten; Bardy, Benoît G.

doi:10.1016/j.neubiorev.2021.08.014

Cited by 20 publications

(19 citation statements)

References 342 publications

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“…In a recent review ( Bieńkiewicz et al, 2021 ), we emphasised the need for reconciliation between emotion and joint action research. In line with this proposal, this study aims to show the effects of experimentally induced emotional valence (positive emotion vs. neutral state vs. negative emotion) on group motor synchronisation (arm movements between three people).…”

Section: Introductionmentioning

confidence: 99%

Positive emotions foster spontaneous synchronisation in a group movement improvisation task

Smykovskyi

Bieńkiewicz

Pla

et al. 2022

Front. Hum. Neurosci.

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Emotions are a natural vector for acting together with others and are witnessed in human behaviour, perception and body functions. For this reason, studies of human-to-human interaction, such as multi-person motor synchronisation, are a perfect setting to disentangle the linkage of emotion with socio-motor interaction. And yet, the majority of joint action studies aiming at understanding the impact of emotions on multi-person performance resort to enacted emotions, the ones that are emulated based on the previous experience of such emotions, and almost exclusively focus on dyadic interaction. In addition, tasks chosen to study emotion in joint action are frequently characterised by a reduced number of physical dimensions to gain experimental control and subsequent facilitation in data analysis. Therefore, it is not clear how naturalistically induced emotions diffuse in more ecological interactions with other people and how emotions affect the process of interpersonal synchronisation. Here, we show that positive and negative emotions differently alter spontaneous human synchronous behaviour during a multi-person improvisation task. The study involved 39 participants organised in triads who self-reported liking improvisational activities (e.g., dancing). The task involved producing improvisational movements with the right hand. Participants were emotionally induced by manipulated social feedback involving a personal ranking score. Three-dimensional spatio-temporal data and cardiac activity were extracted and transformed into oscillatory signals (phases) to compute behavioural and physiological synchrony. Our results demonstrate that individuals induced with positive emotions, as opposed to negative emotions or a neutral state, maintained behavioural synchrony with other group members for a longer period of time. These findings contribute to the emerging shift of neuroscience of emotion and affective sciences towards the environment of social significance where emotions appear the most—in interaction with others. Our study showcases a method of quantification of synchrony in an improvisational and interactive task based on a well-established Kuramoto model.

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Section: Introductionmentioning

confidence: 99%

Positive emotions foster spontaneous synchronisation in a group movement improvisation task

Smykovskyi

Bieńkiewicz

Pla

et al. 2022

Front. Hum. Neurosci.

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“…team dynamics and leadership in sports and music/dance performance, dance, human-robot interactions, and conversation). The relative paucity of (open) data on social scenarios in our survey highlights the domination of 'first-person' behavioural sciences (neurosciences, cognitive sciences, or biomechanics) [14,73].…”

Section: Ecological Validitymentioning

confidence: 92%

Human Movement Datasets: An Interdisciplinary Scoping Review

Olugbade

Bieńkiewicz²,

Barbareschi

et al. 2022

ACM Comput. Surv.

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Movement dataset reviews exist but are limited in coverage, both in terms of size and research discipline. While topic-specific reviews clearly have their merit, it is critical to have a comprehensive overview based on a systematic survey across disciplines. This enables higher visibility of datasets available to the research communities and can foster interdisciplinary collaborations. We present a catalogue of 704 open datasets described by 10 variables that can be valuable to researchers searching for secondary data: name and reference, creation purpose, data type, annotations, source, population groups, ordinal size of people captured simultaneously, URL, motion capture sensor, and funders. The catalogue is available in the supplementary materials. We provide an analysis of the datasets and further review them under the themes of human diversity, ecological validity, and data recorded. The resulting 12-dimension framework can guide researchers in planning the creation of open movement datasets. This work has been the interdisciplinary effort of researchers across affective computing, clinical psychology, disability innovation, ethnomusicology, human-computer interaction, machine learning, music cognition, music computing, and movement neuroscience.

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“…Repeated and reinforced mirroring by parental figures allows children to develop a sense of ’self’ (identity), and learn how to regulate emotional states on their own (restore allostasis). In adulthood, signalling emotions (e.g., friendliness) and reading the state of others, supported by societal reinforcement (feelings of affiliation 4 , 5 ) and hormones such as oxytocin 6 , 7 , feeds into our cognitive expectations of what is going to happen in our direct environment in the nearest future (i.e., threat). And yet, our understanding of how that happens in a heartbeat, across different modalities (such as movement) that might convey information about emotions and intentions 8 , has largely escaped the modern interdisciplinary science.…”

Section: Introductionmentioning

confidence: 99%

Impact of emotion-laden acoustic stimuli on group synchronisation performance

Bieńkiewicz¹,

Janaqi²,

Jean³

et al. 2023

Sci Rep

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The ability to synchronise with other people is a core socio-motor competence acquired during human development. In this study we aimed to understand the impact of individual emotional arousal on joint action performance. We asked 15 mixed-gender groups (of 4 individuals each) to participate in a digital, four-way movement synchronisation task. Participants shared the same physical space, but could not see each other during the task. In each trial run, every participant was induced with an emotion-laden acoustic stimulus (pre-selected from the second version of International Affective Digitized Sounds). Our data demonstrated that the human ability to synchronise is overall robust to fluctuations in individual emotional arousal, but performance varies in quality and movement speed as a result of valence of emotional induction (both on the individual and group level). We found that three negative inductions per group per trial led to a drop in overall group synchronisation performance (measured as the median and standard deviation of Kuramoto’s order parameter—an index measuring the strength of synchrony between oscillators, in this study, players) in the 15 sec post-induction. We report that negatively-valenced inductions led to slower oscillations, whilst positive induction afforded faster oscillations. On the individual level of synchronisation performance we found an effect of empathetic disposition (higher competence linked to better performance during the negative induction condition) and of participant’s sex (males displayed better synchronisation performance with others). We believe this work is a blueprint for exploring the frontiers of inextricably bound worlds of emotion and joint action, be it physical or digital.

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Bridging the gap between emotion and joint action

Cited by 20 publications

References 342 publications

Positive emotions foster spontaneous synchronisation in a group movement improvisation task

Positive emotions foster spontaneous synchronisation in a group movement improvisation task

Human Movement Datasets: An Interdisciplinary Scoping Review

Impact of emotion-laden acoustic stimuli on group synchronisation performance

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