Exploring affect recall bias and the impact of mild depressive symptoms: An ecological momentary study
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Títol
Exploring affect recall bias and the impact of mild depressive symptoms: An ecological momentary studyAutoria
Data de publicació
2019-07-11Editor
SpringerCita bibliogràfica
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_17Tipus de document
info:eu-repo/semantics/conferenceObjectVersió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
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 ... [+]
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. [-]
Descripció
Ponencia presentada en la 9th International Conference, MindCare 2019 "Pervasive Computing Paradigms for Mental Health", Buenos Aires, Argentina, April 23–24, 2019
Publicat a
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 288)Entitat finançadora
Marie Curie EF-ST AffecTech Project, approved at call H2020 – MSCA – ITN – 2016
Codi del projecte o subvenció
722022
Drets d'accés
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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