Helen Schmidt
@helen-schmidt.bsky.social
PhD candidate @ Temple studying emotions & social cognition NIH F31 fellow • ggplot enthusiast • she/her • https://helenschmidt.info/
Excited to share my new preprint with fabulous co-authors Emma Moughan and Chelsea Helion! We explored if normativity in semantic representations of emotion predicts friendship accuracy in a real world social network (it does!). More in thread 👇
PsyArXivBot@psyarxivbot.bsky.social · 6mo agoConceptual Knowledge of Emotions is Semantically Shared and Socially Informative: https://osf.io/swhgq
Delighted to see my chapter "Integrated Neural Circuitry Supporting Emotion Regulation and Decision-Making" out now in Neuroeconomics: Core Topics and Current Directions! ✨ link.springer.com/chapter/10.1...
Integrated Neural Circuitry Supporting Emotion Regulation and Decision-Making
Recent research in psychology and neuroscience has begun to closely examine the relationship between emotion regulation and decision-making. Emotion regulation strategies allow people to change their ...
link.springer.com
New paper & a thread on the results 👇 ‘Reward-specific learning parameters change across normative adolescent development and are blunted in youth with high risk for depression’ acamh-onlinelibrary-wiley-com.ezp3.lib.umn.edu/doi/full/10....
New Open dataset alert: 🧠 Introducing "Spacetop" – a massive multimodal fMRI dataset that bridges naturalistic and experimental neuroscience! N = 101 x 6 hours each = 606 functional iso-hours combining movies, pain, faces, theory-of-mind and other cognitive tasks! 🧵below
🗣️ New paper alert! Ever wonder how strangers navigate the messy world of casual conversation? We analyzed 200+ video calls to uncover the hidden structure behind "idle talk" – and found it's way more systematic than you'd think! Thread 👇
A collection of modules, datasets, and other resources for learning to program in R, geared toward students in psychology and neuroscience: ritcheym.github.io/ppn/
Programming for Psychology and Neuroscience – PPN
ritcheym.github.io
Thrilled to share that my first, first-author paper is out now! Using an episode of 'Survivor', we find that distinct features of conversation – semantic similarity, emotional tone, and confidence – strongly inform observers about underlying social relationships. link.springer.com/article/10.3...
Conversational linguistic features inform social-relational inference - Psychonomic Bulletin & Review
Whether it is the first day of school or a new job, individuals often find themselves in situations where they must learn the structure of existing social relationships. However, the mechanisms throug...
link.springer.com
New haunted house paper out led by Steven Martinez exploring the language we use to recall high and low threat experiences! link.springer.com/article/10.3...
Linguistic properties of memory expression differentially relate to accuracy, specificity, and perceived veracity - Psychonomic Bulletin & Review
When communicating our memories to others, we use specific language to represent and express those memories. However, whether the linguistic properties associated with memory expression, such as commu...
link.springer.com
Very excited to share our new emotion regulation use and forecasting paper in JEP:G We studied ER using high-intensity settings (e.g., haunted houses) and stimuli (e.g., horror movies) and with subjects not trained in ER strategies or even prompted to regulate in some cases.
Reappraisal and Distraction of Intense Emotions: Use and Forecasting in Naturalistic Studies
Researchers often study how we manage emotions in controlled settings, using participants who are trained in specific strategies, told when to use them, and given limited options for self-regulation. ...
growkudos.com
So excited to participate in my third #30DayMapChallenge!
Thrilled to announce that I received the notice of award for my NRSA F31! I'll be exploring behavioral, neurocognitive, and cardiovascular signals that support social-relational learning, with the goal of reducing loneliness across the lifespan. Huge thanks to my mentorship team!
