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Sho Akamine

@shoakamine.bsky.social

Ph.D candidate @mpi-nl.bsky.social studying multimodal alignment in social interaction. Interested in #mulitmodality, #interaction, #kinematics, #stats, #causal_inference. OkinawaπŸ‡―πŸ‡΅ β†’ NijmegenπŸ‡³πŸ‡±

442 Followers  |  444 Following  |  33 Posts  |  Joined: 16.11.2024  |  2.0832

Latest posts by shoakamine.bsky.social on Bluesky

EnvisionBOX overview2025
YouTube video by Wim Pouw EnvisionBOX overview2025

www.envisionbox.org has been shortlisted for the Leo Waaijers Open Science price: ukb.nl/en/news/shor...

@babajideowoyele.bsky.social @jamestrujillo.bsky.social @sarkadava.bsky.social @DavideAhmar @acwiek.bsky.social

Amazing Markus KΓΌpper made an animated video:
www.youtube.com/watch?v=HduI...

02.10.2025 12:28 β€” πŸ‘ 18    πŸ” 11    πŸ’¬ 2    πŸ“Œ 2

Some of the popular chain restaurant recommendations: Sushiro, Kurasushi, Tsurutontan (udon noodles), Ohtoya (Japanese), Yayoi Ken (Japanese), Gyoza no Ohsho (Chinese), Coco curry. Hope you enjoy Japan!!

18.09.2025 14:23 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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ERC Starting Grants for research into language, money circulation and medieval songs | Radboud University Three researchers at Radboud University will receive a Starting Grant from the European Research Council (ERC). They will receive a grant of rougly 1.5 million euros.

πŸ‘€ πŸ‘‚ How does the brain merge what we hear & see? @lindadrijvers.bsky.social got an ERC Starting Grant (β‰ˆ €1.5M) for HANDWAVE, studying how we integrate audiovisual signals.

Vital for understanding language disorders & improving diagnostics.πŸ‘‡

www.ru.nl/en/research/...

04.09.2025 14:55 β€” πŸ‘ 19    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0

You are right. That's why I'm trying to develop a good understanding so that I can make my judgments! And your summer school really helped me understand stats better :)

17.08.2025 16:17 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

I think it’d be a great addition! Especially because I saw recommendations against using BF due to its sensitivity to priors, so instead using CI or HDI for NHST. That’s why I got confused when I read the statement in your book. I’ll read more papers/books and try to get a full understanding on this

17.08.2025 13:20 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Thank you so much for all the recommended readings!!!

17.08.2025 12:23 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Thank you so much for the elaborate answer! It was very informative!!

15.08.2025 11:13 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0
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The physical book copies have arrived: www.routledge.com/Introduction...

14.08.2025 15:28 β€” πŸ‘ 17    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0

I'm currently reading the paper. Thanks a lot for your suggestion!

14.08.2025 16:05 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Thank you for the response! I think one should reject the null in case 1 and fail to reject in case 2, although "0.0000001" is a tiny diff. I see the point here, but doesn't this issue apply to any discrete decisions based on continuous measures? Or would this be less of a problem for Bayes factor?

14.08.2025 16:05 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Introduction to Bayesian Data Analysis for Cognitive Science Introduction to Bayesian data analysis for Cognitive Science.

bruno.nicenboim.me/bayescogsci/

13.08.2025 09:29 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

@bruno-nicenboim.fediscience.org.ap.brid.gy , @shravanvasishth.bsky.social #bayesian, #stats

13.08.2025 09:25 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Please help me learn! I see people using CI for hypothesis testing (whether 95% CIs for slope cover 0), but Nicenboim, Schad &Vasishth say in their fantastic book that "just by looking at the [CIs], we cannot make inferences about whether a null hypothesis can be rejected". Why is this the case?

13.08.2025 09:24 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0

Our conversation analysis software is now on CRAN! Reach out with any questions. We hope it’s useful for all you language and social interaction folks out there.

22.07.2025 18:44 β€” πŸ‘ 39    πŸ” 15    πŸ’¬ 2    πŸ“Œ 0
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Constructing language: a framework for explaining acquisition Explaining how children build a language system is a central goal of research in language acquisition, with broad implications for language evolution, adult language processing, and artificial intelli...

Children are incredible language learning machines. But how do they do it? Our latest paper, just published in TICS, synthesizes decades of evidence to propose four components that must be built into any theory of how children learn language. 1/
www.cell.com/trends/cogni... @mpi-nl.bsky.social

27.06.2025 05:19 β€” πŸ‘ 151    πŸ” 58    πŸ’¬ 8    πŸ“Œ 12

I see, good to know! I’ll try segmented regression and splines and see which one makes more sense for my data ;)

16.07.2025 17:02 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Yes, that’s exactly what I had in mind! Didn’t know that they are called segmented regression. Thanks for your reply😊

16.07.2025 16:49 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

At this point, I might as well --
Here's an infographic showing different ways to include age as a predictor. The top shows two extremes, just as a plain old numerical predictor (imposes linear trajectory) vs. categorical predictor (imposes nothing whatsoever). And then three solutions in between!

16.07.2025 12:33 β€” πŸ‘ 211    πŸ” 47    πŸ’¬ 22    πŸ“Œ 1

This is amazing!!! Would it also make sense to model age as a continuous predictor within different age bins? So instead of getting one point estimate (flat line) for the in-between solution, we would fit a regression line in each binned age so that the flat lines will follow the date better?

16.07.2025 16:24 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Thanks a lot, Martha!!

12.07.2025 10:35 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Sho presents his work validating dynamic time warping to a rapt #ISGS2025 audience. Lots of engagement afterwards #ProudSupervisor

11.07.2025 14:10 β€” πŸ‘ 18    πŸ” 1    πŸ’¬ 2    πŸ“Œ 0
OSF

If you can't attend the talk but are interested in the work, we have a preprint available!!
osf.io/preprints/ps...

11.07.2025 09:25 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

This is a collaborative work with
@dingemansemark.bsky.social and @asliozyurek.bsky.social πŸ™Œ

11.07.2025 09:25 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Are you at #ISGS2025 today? Come see my talk in the kinematics session! I'll present my PhD work validating dynamic time warping (DTW) as a measure of gesture form similarity with manual ratings. We show that DTW can be an efficient, useful proxy for gesture form similarity!

11.07.2025 09:24 β€” πŸ‘ 11    πŸ” 3    πŸ’¬ 3    πŸ“Œ 1
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Excited to present at ISGS25 this Thursday morning in Nijmegen!
Together with @shariceclough.bsky.social , we’ll be sharing our work on the role of gesture in narrative recall across Alzheimer’s, MCI, and healthy aging.
Looking forward to great discussions! πŸ’ͺπŸ»πŸ§ πŸ—£οΈ
#ISGS25

09.07.2025 12:45 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
Plot that depicts the average importance people in my data assign to their friendships (y-axis, on a scale from 1 to 5, depicted with 95% confidence intervals) by their age (x-axis, from 18 to 60).

Depicted are 3 different ways to model importance of friends as a function of age.
Using age as a linear predictor: this imposes a linear trajectory which comes with very tight confidence intervals (i.e., uncertainty is low).
Using age as a categorical predictor: this imposes no trajectory whatsoever but instead simply reproduces the means by age. The confidence intervals are very wide, in particular for those ages not well represented in the data (i.e., uncertainty is high).
Age splines: This results in a smooth trajectory that follows some of the bumps in the data, but not all of them. The confidence intervals are somewhere between the linear and the categorical case (i.e., uncertainty is medium)

Plot that depicts the average importance people in my data assign to their friendships (y-axis, on a scale from 1 to 5, depicted with 95% confidence intervals) by their age (x-axis, from 18 to 60). Depicted are 3 different ways to model importance of friends as a function of age. Using age as a linear predictor: this imposes a linear trajectory which comes with very tight confidence intervals (i.e., uncertainty is low). Using age as a categorical predictor: this imposes no trajectory whatsoever but instead simply reproduces the means by age. The confidence intervals are very wide, in particular for those ages not well represented in the data (i.e., uncertainty is high). Age splines: This results in a smooth trajectory that follows some of the bumps in the data, but not all of them. The confidence intervals are somewhere between the linear and the categorical case (i.e., uncertainty is medium)

Let's say you want to include age as a predictor in your model. How do you do that?

Here's an illustration of three options -- it's for a paper I'm working on (so if you feel like anything could be tweaked...).

08.07.2025 12:03 β€” πŸ‘ 160    πŸ” 31    πŸ’¬ 33    πŸ“Œ 2
Aerial photograph of Radboud University campus with the Erasmus tower in the foreground: tallest building in Nijmegen & home to the Futures of Language project. Source: RU

Aerial photograph of Radboud University campus with the Erasmus tower in the foreground: tallest building in Nijmegen & home to the Futures of Language project. Source: RU

We're hiring! Join us to work at the intersection of social interaction and language technology. Postdoc and PhD positions in my Futures of Language research group, based at Radboud University in Nijmegen, NL

Read more: markdingemanse.net/futures/news...

#linguistics #interaction #sts #emca #hci

07.07.2025 11:43 β€” πŸ‘ 88    πŸ” 67    πŸ’¬ 1    πŸ“Œ 1
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Theory: What to read The role of theory in cognitive science Or: my guide to what to read if you really want to understand how to do good, robust , theory-driven cognitive science. (disclaimer: this is an aspirational gu...

Two nice papers now added to my primer of what to read about theory in cognitive science ... docs.google.com/document/d/1... 1/

05.07.2025 07:22 β€” πŸ‘ 38    πŸ” 8    πŸ’¬ 4    πŸ“Œ 0
Experimentology cover: title and curves for distributions.

Experimentology cover: title and curves for distributions.

Experimentology is out today!!! A group of us wrote a free online textbook for experimental methods, available at experimentology.io - the idea was to integrate open science into all aspects of the experimental workflow from planning to design, analysis, and writing.

01.07.2025 18:25 β€” πŸ‘ 534    πŸ” 228    πŸ’¬ 10    πŸ“Œ 15
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` Towards a More Inclusive and Culturally Diversified Cognitive Science Cognitive science is an interdisciplinary field that seeks to understand the nature and mechanisms of intelligenceβ€”whether biologi...

πŸ“£ Calling early-career cognitive scientists in the Asia-Pacific!

The CogSci Asia-Pacific Meetup Kickoff is coming:

πŸ“ Dec 6–7, 2025 | Tokyo
🌱 Retreat-style event, community building, and cross-cultural exchange.

Details: sites.google.com/view/cogsci-...
#CogSci2025 #CognitiveScience

30.06.2025 12:47 β€” πŸ‘ 7    πŸ” 4    πŸ’¬ 0    πŸ“Œ 2

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