Carmen Goicoechea

ORCID: 0000-0002-1869-275X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Mental Health Research Topics
  • COVID-19 and Mental Health
  • Long-Term Effects of COVID-19
  • Digital Mental Health Interventions
  • Child and Adolescent Psychosocial and Emotional Development
  • Mental Health Treatment and Access
  • Resilience and Mental Health
  • Medicine and Dermatology Studies History
  • Physical Activity and Health
  • Sports Performance and Training
  • Behavioral Health and Interventions
  • Autoimmune Bullous Skin Diseases
  • Emotion and Mood Recognition
  • Complex Systems and Time Series Analysis
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Systemic Lupus Erythematosus Research

Universidad de Granada
1994-2023

The identification of daily life events that trigger significant changes on our affective state has become a fundamental task in emotional research. To achieve it, the states must be assessed real-time, along with situational information could contextualize data acquired. However, objective monitoring and context is still an early stage. Mobile technologies can help to this providing immediate users’ facilitating assessment their states. Previous works have developed mobile apps for context,...

10.3390/s19153430 article EN cc-by Sensors 2019-08-05

How affective experiences, such as feelings, emotions, and moods, fluctuate over time is relevant for understanding predicting psychological well-being. Here, we present a novel approach to investigate affect dynamics grounded on the concept of multistability, common behaviour complex systems, characterised by abrupt shifts between two or more stable states. We analyse self-report measures in Ecological Momentary Assessment studies from Spain (N=65) Germany (N=56). Participants were asked...

10.31234/osf.io/cqpuz preprint EN 2023-06-10

Abstract The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on affected populations. To date, all available studies designed investigate effects of this unprecedented global crisis based cross-sectional surveys that do not capture emotional variations over time. Here, we present data from CoVidAffect, nationwide citizen science project aimed provide longitudinal mood changes following in spanish territory. Spain is among most...

10.1038/s41597-020-00700-1 article EN cc-by Scientific Data 2020-10-20

The fluctuation of affective states is a contributing factor to sport performance variability. context surrounding athletes during their daily life and the evolution physiological variables beyond events are relevant factors, as they modulate state subject over time. However, traditional procedures assess limited self-reported questionnaires within controlled settings, thus removing impact context. This work proposes multimodal, context-aware platform that combines data acquired through...

10.3390/proceedings2191202 article EN cc-by 2018-10-18

The Process-Based Assessment Tool (PBAT) was developed to monitor biopsychosocial processes of change that are relevance individual treatment goals. It applies an idionomic approach identify key change, using high temporal density measurement applied at the level person. purpose present study psychometrically validate Spanish version PBAT and expand cross-cultural application questionnaire. A representative sample 602 participants completed online, cross-sectional Methods from original were...

10.31234/osf.io/y35sv preprint EN 2024-07-25

The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on affected populations. Here, we publish dataset from CoVidAffect, citizen science project that was launched provide direct, geolocalized data of changes in subjective feeling physical arousal following crisis. These publicly available continuously updated visual summaries displayed website. can be further analyzed identify geographical regions, quantify emotional responses...

10.31234/osf.io/3sv6r preprint EN 2020-04-29
Coming Soon ...