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Exploring affect recall bias and the impact of mild depressive symptoms: An ecological momentary study
dc.contributor.author | Colombo, Desirée | |
dc.contributor.author | Suso-Ribera, Carlos | |
dc.contributor.author | Fernández-Álvarez, Javier | |
dc.contributor.author | Fernández-Felipe, Isabel | |
dc.contributor.author | Cipresso, Pietro | |
dc.contributor.author | García-Palacios, Azucena | |
dc.contributor.author | Riva, Giuseppe | |
dc.contributor.author | Botella, Cristina | |
dc.date.accessioned | 2022-06-16T10:52:33Z | |
dc.date.available | 2022-06-16T10:52:33Z | |
dc.date.issued | 2019-07-11 | |
dc.identifier.citation | Colombo, D. et al. (2019). Exploring Affect Recall Bias and the Impact of Mild Depressive Symptoms: An Ecological Momentary Study. In: Cipresso, P., Serino, S., Villani, D. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-030-25872-6_17 | ca_CA |
dc.identifier.uri | http://hdl.handle.net/10234/198051 | |
dc.description | Ponencia presentada en la 9th International Conference, MindCare 2019 "Pervasive Computing Paradigms for Mental Health", Buenos Aires, Argentina, April 23–24, 2019 | ca_CA |
dc.description.abstract | Traditional clinical and research assessments rely on retrospective questionnaires, that ask individuals to retrospectively summarize how they felt during the last period. Nevertheless, people are not accurate at recalling past experiences without altering the content, especially when they are required to report their affect. In this study, we adopted a smartphone-based ecological momentary assessment (EMA) to collect daily assessments of positive (PA) and negative (NA) affect throughout two weeks in a sample of healthy students (n = 47). Results showed that both PA and NA are subject to the recall bias; more specifically, people tended to overestimate both affects during the retrospective assessment. This bias was influenced by the presence of mild depressive symptoms as measured by the Beck Depression Inventory (BDI), which led participants to a greater overestimation of NA and higher underestimation of PA. While NA bias was more context-dependent, PA bias showed more stability across time. | ca_CA |
dc.format.extent | 8 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Springer | ca_CA |
dc.relation.isPartOf | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 288) | ca_CA |
dc.rights | © 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | ca_CA |
dc.subject | ecological momentary assessment | ca_CA |
dc.subject | momentary affect | ca_CA |
dc.subject | recall bias | ca_CA |
dc.title | Exploring affect recall bias and the impact of mild depressive symptoms: An ecological momentary study | ca_CA |
dc.type | info:eu-repo/semantics/conferenceObject | ca_CA |
dc.identifier.doi | https://doi.org/10.1007/978-3-030-25872-6_17 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.type.version | info:eu-repo/semantics/acceptedVersion | ca_CA |
project.funder.name | Marie Curie EF-ST AffecTech Project, approved at call H2020 – MSCA – ITN – 2016 | ca_CA |
oaire.awardNumber | 722022 | ca_CA |