Corona Concerts: The Effect of Virtual Concert Characteristics on Social Connection and

التفاصيل البيبلوغرافية
العنوان: Corona Concerts: The Effect of Virtual Concert Characteristics on Social Connection and
المؤلفون: Dana, Swarbrick, Beate, Seibt, Noemi, Grinspun, Jonna K, Vuoskoski
المصدر: Frontiers in Psychology
سنة النشر: 2020
مصطلحات موضوعية: live, kama muta, concerts, coronavirus, Psychology, COVID-19, music, virtual, social connection, Original Research
الوصف: The popularity of virtual concerts increased as a result of the social distancing requirements of the coronavirus pandemic. We aimed to examine how the characteristics of virtual concerts and the characteristics of the participants influenced their experiences of social connection and kama muta (often labeled “being moved”). We hypothesized that concert liveness and the salience of the coronavirus would influence social connection and kama muta. We collected survey responses on a variety of concert and personal characteristics from 307 participants from 13 countries across 4 continents. We operationalized social connection as a combination of feelings and behaviors and kama muta was measured using the short kama muta scale (Zickfeld et al., 2019). We found that (1) social connection and kama muta were related and predicted by empathic concern, (2) live concerts produced more social connection, but not kama muta, than pre-recorded concerts, and (3) the salience of the coronavirus during concerts predicted kama muta and this effect was completely mediated by social connection. Exploratory analyses also examined the influence of social and physical presence, motivations for concert attendance, and predictors of donations. This research contributes to the understanding of how people can connect socially and emotionally in virtual environments.
تدمد: 1664-1078
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::39e1a9e2fe43a6083ce0d40a6eed7fdd
https://pubmed.ncbi.nlm.nih.gov/34239478
Rights: OPEN
رقم الانضمام: edsair.pmid..........39e1a9e2fe43a6083ce0d40a6eed7fdd
قاعدة البيانات: OpenAIRE