Investigating #AffectDynamics
Co-founder at openscholar.info
Managing editor at psicologicajournal.com
More: pandelisperakakis.info
OA Paper: osf.io/cqpuz_v1
Data and code: doi.org/10.17605/OSF...
Blog post: pandelisperakakis.info/2025/02/05/r...
#AffectDynamics #PsychologicalScience #MentalHealth #WellBeing
OA Paper: osf.io/cqpuz_v1
Data and code: doi.org/10.17605/OSF...
Blog post: pandelisperakakis.info/2025/02/05/r...
#AffectDynamics #PsychologicalScience #MentalHealth #WellBeing
1) Identify personal triggers for transitions between positive & negative states.
2) Focus on tailored interventions to enhance resilience.
1) Identify personal triggers for transitions between positive & negative states.
2) Focus on tailored interventions to enhance resilience.
1) More intuitive than rating emotions on abstract numerical scales
2) Easier to track daily
3) A better predictor of well-being
4) Suitable for real-time monitoring
1) More intuitive than rating emotions on abstract numerical scales
2) Easier to track daily
3) A better predictor of well-being
4) Suitable for real-time monitoring
But our results show bouncing back from negativity matters more.
This has major implications for clinical practice! 👇
But our results show bouncing back from negativity matters more.
This has major implications for clinical practice! 👇
Here’s why this matters 👇
Here’s why this matters 👇
And that's when the surprise came👇
And that's when the surprise came👇
"How do you feel right now?" (rated from very bad to very good) 6 times a day for a month.
About 54% showed abrupt shifts between feeling good and bad—a pattern we called "Affective Bistability".
"How do you feel right now?" (rated from very bad to very good) 6 times a day for a month.
About 54% showed abrupt shifts between feeling good and bad—a pattern we called "Affective Bistability".
1) More intuitive than rating emotions on abstract numerical scales
2) Easier to track daily
3) A better predictor of well-being
4) Suitable for real-time monitoring
1) More intuitive than rating emotions on abstract numerical scales
2) Easier to track daily
3) A better predictor of well-being
4) Suitable for real-time monitoring
But our results show bouncing back from negativity matters more.
This may have major implications for clinical practice 👇
But our results show bouncing back from negativity matters more.
This may have major implications for clinical practice 👇
Here’s why this matters 👇
Here’s why this matters 👇
And that's when the surprise came👇
And that's when the surprise came👇
"How do you feel right now?" (rated from very bad to very good) 6 times a day for a month.
About 54% showed abrupt shifts between feeling good and bad—a pattern we called "Affective Bistability".
"How do you feel right now?" (rated from very bad to very good) 6 times a day for a month.
About 54% showed abrupt shifts between feeling good and bad—a pattern we called "Affective Bistability".