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Exposure to social suffering in virtual reality boosts compassion and facial synchrony

  • Daniela Cohen
  • , Daniel H. Landau
  • , Doron Friedman
  • , Béatrice S. Hasler
  • , Nava Levit-Binnun
  • , Yulia Golland*
  • *Tämän työn vastaava kirjoittaja
    • Interdisciplinary Center Herzliya

    Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

    40 Sitaatiot (Scopus)

    Abstrakti

    Virtual reality (VR) has recently been popularized as the “ultimate empathy machine,” and yet the science behind the effects of VR on empathy is scarce. In this media-comparison study, we assessed the impact of VR upon physiological and subjective indicators of empathy. Furthermore, we investigated the role of social presence, i.e. the experience of being there with real others, in modulating the empathic responses. We filmed a 360° 3D video of a person disclosing a painful autobiographical story from her past. This empathy-eliciting video was presented either in a VR head-mounted display or on a computer screen. Centrally, autonomic and facial responses were recorded both from the target in the video and from participants who viewed the video. We found that the VR condition enhanced viewers’ empathic care and facial synchrony with the target. Viewers in the VR condition also reported higher levels of social presence, which mediated the effects of VR on empathic care as well as on facial synchrony. The current study highlights the potential of VR to elicit social connectedness and a caring motivation to help. Our findings imply that VR has a unique potential to motivate empathy in situations where face-to-face encounters are not possible.

    AlkuperäiskieliEnglanti
    Artikkeli106781
    Sivumäärä10
    JulkaisuComputers in Human Behavior
    Vuosikerta122
    DOI - pysyväislinkit
    TilaJulkaistu - 12 huhtik. 2021
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Rahoitus

    We thank Nurit Belou, Linda Joe Milham, Max Gering, Naama Kamari and Karen Shamir for a tremendous help with data collection and preprocessing. We thank Tali Aloni and Yair Dor-Ziderman for their help in Matlab scripts, we help Matan Sheskin for his help with a VR equipment. This work was supported by Israel Science Foundation (ISF) Grant 698/15 to YG and by the Joy ventures Grant program to NLB.

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