A global experience‐sampling method study of well‐being during times of crisis: The CoCo project

Autor(en): Scharbert, Julian
Reiter, Thomas
Sakel, Sophia
ter Horst, Julian
Geukes, Katharina
Gosling, Samuel D.
Harari, Gabriella M.
Kroencke, Lara
Matz, Sandra
Schoedel, Ramona
Shani, Maor
Stachl, Clemens
Talaifar, Sanaz
Aguilar, Natalia Maria Alejandra
Amante, Dayana
de Aquino, Sibele Dias
Bastias, Franco
Biesanz, Jeremy C.
Bornamanesh, Alireza
Bracegirdle, Chloe
Campos, Luís Antônio Monteiro
Ceballos, Maria Camila
Chauvin, Bruno
Choychod, Sopa
Coetzee, Nicoleen
Costin, Vlad
da Silva Machado, Gustavo
Dorfman, Anna
dos Santos, Monika
El‐Haddad, Rita W.
Fajkowska, Małgorzata
Gnisci, Augusto
Hadjisolomou, Stavros
Hale, William W.
Hofmann, Wilhelm
Khechuashvili, Lili
Kheirabadi, Gholam Reza
Kirchner-Häusler, Alexander
Köse, Aslı Göncü
Kotzur, Patrick F.
Kritzler, Sarah
Lu, Jackson G.
Martskvishvili, Khatuna
Mottola, Francesca
Obschonka, Martin
Paolini, Stefania
Perugini, Marco
Odile, Rohmer
Saeedian, Yasser
Sarayuthpitak, Jintana
Sczesny, Sabine
Sergi, Ida
Skimina, Ewa
Talhelm, Thomas
Tangdhanakanond, Kamonwan
Tokat, Tuluce
Torres, Ana Raquel Rosas
Torres, Cláudio Vaz
Assche, Jasper Van
Wolvaardt, George G.
Yalçın, Aslı
Bühner, Markus
van Zalk, Maarten 
Back, Mitja D.
Stichwörter: Computer vision; Sample (material); Sampling (signal processing); Experience sampling method; Disease; Infectious disease (medical specialty); Psychology; Coping (psychology); Chromatography; Computer science; Medicine; Pathology; Social psychology; Chemistry; Applied psychology; Sociology; Social science; Coco; Data collection; Filter (signal processing); Clinical psychology; Artificial intelligence; Coronavirus disease 2019 (COVID-19)
Erscheinungsdatum: 2023
DOI: https://doi.org/10.1111/spc3.12813

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