iiinova — where your digital self keeps evolving

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moin syed @syeducation.bsky.social · 01/10/2026

Gave a talk in my dept. on the OSF transition. I wrote up a rough script of the session, which could be of interest to others. I synthesize existing resources and provide my own perspectives. Comments and corrections welcome! zenodo.org/records/2306...

the header for a paper describing "Life after OSF" #metascience

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Abdo Elnakouri @abdoe.bsky.social · 22/09/2026

I think most of us recognize that our culture can shape how we see the world. But might culture also shape *who* we look to in order to form our perceptions of the world/reality? We find evidence for this in a 🔥new paper🔥 in SPPS with @elijfinkel.bsky.social and Abigail Scholer. 🧵:

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Sebastian Speer @sebospeer.bsky.social · 11/09/2026

**Recruiting PhD students to join the Coupled Minds Lab!** Prospective students will have opportunities to explore questions such as: How do people develop new ideas and learn together? How do conversations build consensus? How do we interact with AI? [lab website](coupled-minds.github.io)

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Ian Ballard @iancballard.bsky.social · 01/09/2026

📢 Save the date! The Society for the Science of Motivation (SSM) is excited to announce the first-ever Motivated Cognition satellite meeting at Psychonomics 2026 in San Diego! 🗓️ Thursday, November 19th, 11am–5pm 📍 San Diego ssmmotivatedcognition.my.canva.site #Psychonomics2026 #MotivatedCognition

ssmmotivatedcognition.my.canva.site

Home

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Alexandre "Blublu" Bluet @blubludoesscience.bsky.social · 17/08/2026

New preprint! We investigate the role of language in the transmission of mental models in cultural evolution. Using a transmission chain design with over 2000 participants, we show that only language allows for the transmission and refinement of mental models. osf.io/preprints/ps...

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Russ Poldrack @russpoldrack.org · 11/08/2026

Many of you will have seen the recent post about changes at OSF. If you'd like to learn more about how to use other services (particularly Zenodo) to share data and code, see my book chapter on resource sharing. bettercode-book.org/book-sharing...

bettercode-book.org

12 Sharing Research Objects – Better Code, Better Science

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Mark Thornton @markthornton.bsky.social · 03/08/2026

Very excited to share this preprint from me, @emmatempleton.bsky.social, @lindseytepfer.bsky.social & @thaliawheatley.bsky.social! "Friends and strangers engage in distinct regimes of body motion synchrony during conversation" osf.io/preprints/ps...

Forms of body motion synchrony. A) Motion quantity synchrony – synchrony in the amount of motion (orange) people engage in over time. This form of synchrony is agnostic to the direction of this movement, may be positive or negative, occurs at varying time lags, and is not specific to matched body parts across members of the dyad. B) Pseudo-synchrony – motion quantity synchrony between people who are not actually interacting. That is, members of different conversations engaging in similar amounts of motion at similar points in the conversation relative to its initiation. And C) directional synchrony – people moving the same body parts in the same direction (or along the same axis in the opposite direction) at the same time (or at some specific time lag).

Mechanisms of synchrony. A) Turn-taking, which causes increases in motion around the time of speaker role exchanges, as participants gesture to hand over or take over the floor. B) Conservation of motion in which one participant moves less when the other moves more, holding the total motion quantity relatively constant over time (note that the total amount of motion across the dyad is similar in the two panels, because one person reduces their motion to balance out the increase in the other’s motion). C) Entrainment, in which mutual following of the same conversational script leads to synchronized movement among people who are not directly interacting (i.e. pseudo-synchrony). Greeting gestures such as the handshakes depicted are one acute manifestation of this entrainment. D) Station-keeping, which maintains proxemic distance and eye level between members of the dyad. This mechanism accounts for directional synchrony, particularly between strangers who feel uncomfortable within each other’s personal space.

Motion quantity synchrony among friends and strangers. A) Friends displayed significant positive synchrony in total motion quantity at short time lags (< 2.5 s) and B) this effect generalized across the majority of body part pairs (each line represents one pair). For example, one series of points might represent the synchrony between the amount of motion in one participant’s left hand and the other’s right foot. C) Strangers displayed significant positive synchrony in total motion quantity at short time lags (< 1 s) and significant negative total motion quantity synchrony at longer time lags (2.5 – 16.6 s). D) Again, this effect generalized to most body part pairs.

Directional synchrony among friends and strangers. A) Among friends, we observed statistically significant directional synchrony in only two body parts (nose and eye) and only in the vertical axis. B) Among strangers, we observed statistically significant directional synchrony in a large number of body parts in the horizontal, vertical, and depth axes.

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Arshiya Aggarwal @whatsinertia.bsky.social · 27/07/2026

We change constantly — new roles, new beliefs, new ways of seeing our past. Yet most of us feel like the same person over time. How? Brent Hughes and I explore this in our new paper in Trends in Cognitive Sciences. 🧵 www.cell.com/trends/cogni...

cell.com

Wired for coherence: a network theory of self

People change across daily situations and life transformations, yet maintain a stable sense of self. Explaining this stability requires understanding how identities, traits, values, and memories inter...

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kiraharris.bsky.social @kiraharris.bsky.social · 24/07/2026

1/4 Why do we gravitate toward some people over others? I'm excited to share new work with Peter Mende-Siedlecki, @andyluttrell.bsky.social, and @leorhackel.bsky.social! We use perceptions of others' personality traits more in related contexts, but rewards elicit general positivity 🧵👇

hackellab.org

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Tabea Springstein @tabeaspringstein.bsky.social · 21/07/2026

Excited to be in Edinburgh for #ECP22! @oliviaatherton.bsky.social , @stephanoplis.bsky.social, and I are especially happy to have so many members of our labs here presenting their work.Thursday morning is packed with great talks - including lots of options in the 9:10 AM time slot. 😊

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Benedek Kurdi @benedek.bsky.social · 17/07/2026

Are the mental contents underlying implicit evaluations accessible to conscious introspection? Prior studies show high predictive accuracy, leading to a growing consensus that people can introspectively access their implicit biases. New paper out in JPSP! 🧵🧵🧵

The tide is turning against a major idea in social psychology: that implicit evaluations reflect mental content that lies beyond conscious awareness. This view is being reconsidered in light of mounting evidence that people can predict their own implicit evaluations with high accuracy. However, there are reasons to question whether such predictive accuracy reflects introspective access. First, prior studies have relied almost exclusively on familiar targets (e.g., racial groups), allowing predictions to be informed by background knowledge (e.g., knowing that a group is stigmatized) rather than introspection. Second, implicit and explicit evaluations have been highly correlated in prior work, enabling accurate predictions simply by assuming that implicit evaluations mirror explicit ones. Here, we report eight experiments (five pre-registered; N = 6,794) designed to minimize these nonintrospective routes to predictive accuracy. We introduced participants to novel targets and shifted implicit and explicit evaluations of these targets in opposite directions, rendering explicit evaluations an unreliable cue. Under these conditions, predictive accuracy ranged from low to nonexistent; participants frequently anticipated shifts in their implicit evaluations in the opposite direction of the actual change. These results generalized across two learning paradigms (impression formation and attribute conditioning), two implicit evaluation measures (Implicit Association Test and evaluative priming task), and between-participant and within-participant designs. We consider multiple interpretations of these findings, including the possibility that implicit evaluations reflect mental content that is largely or even entirely inaccessible to conscious awareness.

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Niv Reggev ניב רגב نيڤ ريچيڤ @nivreggev.bsky.social · 28/06/2026

Attending @easp2026.bsky.social ? Come check out the presentations by lab members! #EASP2026

A poster depicting presentation times for SCMB lab members at EASP 2026:
1/7:
2:30 - 4:10 PM at Dresde: Niv Reggev
5:30 - 7:10 PM at Leicester: Symposium, co-chairs Niv Reggev, Aviv Mokady, Brent Hughes

3:7:
8:45-10:25 at Madrid 2 (data blitz session): Maayan Trzewik

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Tabea Springstein @tabeaspringstein.bsky.social · 01/06/2026

Excited to share that our paper, “To Regulate or Not To Regulate? Situational and Individual Differences in Emotion Regulation Initiation in Daily Life,” was accepted at Personality and Social Psychology Bulletin! Postprint: osf.io/preprints/ps...

osf.io

OSF

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Gordon Pennycook @gordpennycook.bsky.social · 15/05/2026

There has been a LOT of research on misinformation over the last decade. In a new paper (for Annual Review of Psychology), @dgrand.bsky.social and I attempt to distill the key points of consensus, highlight major disagreements, and point to future directions. papers.ssrn.com/sol3/papers....

papers.ssrn.com

<p>Consensus, Disagreements, and Open Questions in the Psychology of Misinformation</p>

Research on misinformation has expanded rapidly over the past decade. This review examines areas of consensus and contention within the literature on misinforma

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Nick Camp @ncamp.bsky.social · 25/04/2026

New work led by @whatsinertia.bsky.social, combining fear conditioning and perceptual deindividuation. Conditioned threats spread to more dissimilar Black vs. White targets- findings of interest for soc cognition as well as eyewitness identificatoin. Check it out!

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Arshiya Aggarwal @whatsinertia.bsky.social · 25/04/2026

New paper in @jexpsocpsych.bsky.social!! 🧵 When people learn to fear one person, who else do they mistake for a threat, and does race shape the pattern? Read here: authors.elsevier.com/c/1m~aL51f8~...

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Jinwoo Lee @aesciemo.bsky.social · 03/04/2026

Thrilled to share that my first PhD project was nominated for both an oral presentation and a travel award at the upcoming @sansmeeting.bsky.social, SANS2026! I’m looking forward to discussing new ideas and analytic considerations. Feel free to reach out if you're interested! See you in San Diego 👋

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Trys Loustau @trystanloustau.bsky.social · 13/04/2026

Are you a prototypical Democrat/Republican? Or do you deviate from the norms of your party in meaningful ways? If the latter, my research suggests you may be less biased in your moral judgments. Read more here: www.sciencedirect.com/science/arti...

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Rachit Dubey @rachitdubey.bsky.social · 07/04/2026

🚨New preprint and our results are rather concerning.. We find the "boiling frog" equivalent of AI use. Using large-scale RCTs, we provide *casual* evidence that AI assistance reduces persistence and hurts independent performance. And these effects emerge after just 10–15 minutes of AI use! 1/

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Clara Sava-Segal @csavasegal.bsky.social · 16/03/2026

So glad to *finally* have this out!! Major thanks to both Clare and Emily

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Maya Rossignac-Milon @mrossignacmilon.bsky.social · 10/03/2026

Thrilled to release this year’s program for the Shared Reality Virtual Conference (Mar 24-25)!! Register here to receive the Zoom link (free!): universityofhouston.iad1.qualtrics.com/jfe/form/SV_... Organized with: @emmamiller.bsky.social @abdoe.bsky.social @changlu-cl.bsky.social

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Gavin Mullin @gavinmullin.bsky.social · 23/02/2026

It’s time yall! I’m excited to co-organize a symposium with @freemanjb.bsky.social at @spspnews.bsky.social this week!! Come by Friday morning (8am, room 450B) to see some amazing talks by phenomenal researchers! @xallysie.bsky.social @chujunlin.bsky.social @whatsinertia.bsky.social #SPSP2026

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stephen @stephanoplis.bsky.social · 23/02/2026

New paper on cross-race contact from my lab, forthcoming in Personality and Social Psychology Bulletin: “Around but not close? Mapping normative trends in cross-race contact during adulthood”. Read the postprint here: osf.io/preprints/ps...

osf.io

OSF

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Benedek Kurdi @benedek.bsky.social · 20/02/2026

Excited to share this preprint with Yahel Nudler and @thatadammorris.bsky.social in which we provide further evidence that people’s awareness of implicit evaluations is shaky at best — when explicit evaluations provide a misleading cue, participants systematically mispredict: osf.io/preprints/ps...

Do individuals possess introspective access to their implicit evaluations? Although recent research shows that people can often predict their scores on indirect measures, it remains unclear whether this effect reflects genuine introspection or inferential reasoning. We tested an anchoring-and-adjustment account, proposing that individuals predict implicit evaluations by anchoring on accessible explicit evaluations and then adjusting based on available information, such as cultural knowledge. Across three experiments (N = 3,182), we used a relational evaluative conditioning paradigm with novel nonwords to isolate explicit evaluations as the primary source for inference. Manipulating the align-ment between explicit and implicit evaluations, between or within participants, yielded consistent support for the anchoring-and-adjustment hypothesis. Predictions were accurate only when explicit evaluations provided a valid cue; when the two dissociated, accuracy fell systematically below chance. These findings suggest that knowledge of one’s implicit evaluations is dominantly derived from explicit cues rather than discovered through direct introspection.

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Nick Camp @ncamp.bsky.social · 18/02/2026

Excited to have two MiSL Lab Members presenting at #spsp2025 preconferences! @arajo-eunkyung.bsky.social will be presenting our Street View sampling tools at the Computational Social Psychology preconference as a *featured* data blitz! (paper at guilfordjournals.com/doi/10.1521/...)

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Mark Thornton @markthornton.bsky.social · 11/02/2026

New preprint from Lindsey Tepfer (@ltjaql.bsky.social) and me! We silenced portions of internal monologues in two films to manipulate participants' access to characters' thoughts. Using ISC and RSA, we found that this aligned later neural processing of the narrative & encoding of trait impressions.

Figure 1. Experimental stimuli and paradigm. 1A. Manipulation timeline. Each video features a total of 12 IM moments, half of which were silenced in version 1, and the other half silenced in version 2. This produces two versions of each video where only half of the IMs are audible to the participant. 1B. Voice removal. Background sounds were preserved in both versions, regardless of IM presence. 1C. fMRI paradigm. Participants were randomly assigned a version and watched both videos in a counter-balanced order. 1D. Afterwards, they made trait ratings on each video’s main character in random order before rating them on subsequent traits.

Figure 2. Scanner and online participant trait rating results. A. Scanner participants arrive at similar conclusions about characters across versions by the end of each video. B. Trait ratings at the end of the videos are correlated between online and scanner participants. C. The IM manipulation had a significant effect on the trait ratings across the duration of the videos, such that different versions led to different trait impressions. D. Participants who saw different versions changed their ratings for both clip types but changed to a greater degree after seeing the IM segments relative to the NIM.

Figure 3. ISC results. Gaining access to the same mental state knowledge in earlier IM clips led to significantly (p < .05, corrected) more aligned neural activity in subsequent NIM clips across a wide swath of the temporal lobe, as well as the frontal pole and SPL.

Figure 4. Representational similarity analysis results. 4A. RSA pipeline. Clip-specific patterns of brain activity were correlated across movies within segment type (NIM or IM) to create a correlation distance matrix for each participant. Corresponding trait ratings were partitioned into components specific to each of the two versions of each film or shared across both versions. RDMs based on those traits were used to predict the neural RDMs. The resulting coefficients were sorted into matched (version), unmatched (version), and shared across version, and inference was performed via t-tests across participants. See methods section for further details of this analysis. 4B. Prior trait rating results. 1. While watching IM clips of the same version, the prior trait ratings predict activity in the bilateral A1, STS, STG, and right VLPFC. 2. Prior trait rating predicts activity in these regions again in the same-version NIM clips. 3. Across the two versions, while watching the NIM clips, the prior trait ratings predicted activity in the right occipitotemporal cortex. 4C. Trait updating results. 1. While watching NIM clips, the right STS & MTG predict version-matched trait updating. 2. In the unmatched NIM clips, STS & MTG again predict trait updating. 3. Across the two versions, the precuneus and LOC show pattern similarity for trait updating in participants.

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M.J. Crockett @mjcrockett.bsky.social · 11/12/2025

New preprint: Empathy, Thick and Thin papers.ssrn.com/sol3/papers.... It is perhaps foolhardy to attempt to say something new about a topic as widely studied as empathy. I tried anyway! 1/

Abstract

When we empathize with someone going through something, we often draw on our past experiences with the someone and the something. These kinds of experiences ground "thick empathy", a form of empathy that has been largely overlooked in the psychology and neuroscience literature. Consider how a mother, empathizing with her daughter about to give birth, can draw on her own experience of childbirth, and her relationship with her daughter, to deeply grasp what her daughter is going through in a way that others who lack those experiences cannot. I argue that thick empathy deserves more empirical attention because it is associated with well-being and helps us build networks of effective mutual social support. My analysis highlights novel risks and dilemmas posed by "empathy machines" that promise to enhance or even replace human empathy and are becoming increasingly popular as a potential solution to widespread loneliness. Even when empathy machines provide value to individuals, their widespread adoption risks imposing collective emotional and epistemic costs that ultimately make it harder for us to empathize well.

Keywords: empathy, understanding, experience, thick description, ethnography, phenomenal knowledge, interpersonal knowledge, virtual reality, artificial intelligence, chatbots

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Gabriel Fajardo @gabefajardo.bsky.social · 02/10/2025

I’m excited to share my 1st first-authored paper, “Distinct portions of superior temporal sulcus combine auditory representations with different visual streams” (with @mtfang.bsky.social and @steanze.bsky.social ), now out in The Journal of Neuroscience! www.jneurosci.org/content/earl...

Fig. 1. a. Visual and auditory regions of interest (ROIs). b. Responses in a combination of visual (e.g., early dorsal visual stream; Fig. 1a, middle panel) and auditory regions were used to predict responses in the rest of the brain using MVPN. c. In order to identify brain regions that combine responses from auditory and visual regions, we identified voxels where predictions generated using the combined patterns from auditory regions and one set of visual regions jointly (as shown in Fig. 1b) are significantly more accurate than predictions generated using only auditory regions or only that set of visual regions.

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Eric Hehman @erichehman.bsky.social · 03/10/2025

Paper and R package for (more flexible) power analysis in multilevel: psycnet.apa.org/record/2024-...

psycnet.apa.org

APA PsycNet

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Vlad Chituc @vladchituc.bsky.social · 28/09/2025

Thrilled to announce a new paper out this weekend in @cognitionjournal.bsky.social. Moral psychologists almost always use self-report scales to study moral judgment. But there's a problem: the meaning of these scales is inherently relative. A 2 min demo (and a short thread): 1/7

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Landry Bulls @landrybulls.bsky.social · 16/09/2025

Excited to share the preprint for my 1st 1st-author manuscript! @markthornton.bsky.social and I show that people hold robust, structured beliefs about how individual mental states unfold in intensity over time. We find that these beliefs are reflected in other domains of mental state understanding.

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Youngki Hong @youngkihong.bsky.social · 10/09/2025

I’m admitting 1–2 Ph.D. students to join my lab in the Department of Psychology and Neuroscience at CU Boulder, starting Fall 2026. We study person perception, stereotyping and prejudice, and intervention science. Application info: www.colorado.edu/psych-neuro/... Lab info: www.svmlab.org

svmlab.org

Colorado Social Vision & Mind Lab

The Social Vision & Mind Lab (Director: Youngki Hong, Ph.D.) at the University of Colorado Boulder explores how people perceive and make sense of the physica...

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Adam Morris @thatadammorris.bsky.social · 28/05/2025

A widespread view in psychology is that most cognitive processes are unconscious. In a new paper, I argue that many of these processes may evade consciousness for the same reason the "invisible gorilla" did: People fail to pay attention to them. 🧵 direct.mit.edu/opmi/article...

direct.mit.edu

Invisible Gorillas in the Mind: Internal Inattentional Blindness and the Prospect of Introspection Training

Abstract. Much of high-level cognition appears inaccessible to consciousness. Countless studies have revealed mental processes—like those underlying our choices, beliefs, judgments, intuitions, etc.—w...

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