Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Bridging the gap between emotion and joint action
Univ Montpellier IMT Mines Ales, EuroMov Digital Hlth Mot, Montpellier, France..
Univ Montpellier IMT Mines Ales, EuroMov Digital Hlth Mot, Montpellier, France..
UCL, UCLIC, London, England..
Univ Montpellier IMT Mines Ales, EuroMov Digital Hlth Mot, Montpellier, France..
Vise andre og tillknytning
2021 (engelsk)Inngår i: Neuroscience and Biobehavioral Reviews, ISSN 0149-7634, E-ISSN 1873-7528, Vol. 131, s. 806-833Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Our daily human life is filled with a myriad of joint action moments, be it children playing, adults working together (i.e., team sports), or strangers navigating through a crowd. Joint action brings individuals (and embodiment of their emotions) together, in space and in time. Yet little is known about how individual emotions propagate through embodied presence in a group, and how joint action changes individual emotion. In fact, the multi-agent component is largely missing from neuroscience-based approaches to emotion, and reversely joint action research has not found a way yet to include emotion as one of the key parameters to model socio-motor interaction. In this review, we first identify the gap and then stockpile evidence showing strong entanglement between emotion and acting together from various branches of sciences. We propose an integrative approach to bridge the gap, highlight five research avenues to do so in behavioral neuroscience and digital sciences, and address some of the key challenges in the area faced by modern societies.

sted, utgiver, år, opplag, sider
Elsevier BV , 2021. Vol. 131, s. 806-833
Emneord [en]
Socio-Motor interaction, Joint action, Cooperation, Emotion, Affective computing, HCI, HRI, Synchronization, Coupling, Machine learning, Artificial intelligence, Multiple timescales, Multi-modal propagation, Models of human behavior
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-304219DOI: 10.1016/j.neubiorev.2021.08.014ISI: 000707476500004PubMedID: 34418437Scopus ID: 2-s2.0-85116936726OAI: oai:DiVA.org:kth-304219DiVA, id: diva2:1608221
Merknad

QC 20211103

Tilgjengelig fra: 2021-11-03 Laget: 2021-11-03 Sist oppdatert: 2022-06-25bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstPubMedScopus

Person

Björkman, Mårten

Søk i DiVA

Av forfatter/redaktør
Bianchi-Berthouze, NadiaBjörkman, Mårten
Av organisasjonen
I samme tidsskrift
Neuroscience and Biobehavioral Reviews

Søk utenfor DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 174 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf