This study examined whether brain-to-brain synchrony predicts group performance on problem-solving tasks. 44 groups of 4 participants completed problem-solving tasks either as a team or individually while wearing mobile EEG headsets. Neural synchrony was higher among teams compared to individuals. Importantly, greater neural synchrony among team members predicted better group performance on the tasks. However, how tightly knit a group felt did not predict their performance. These findings suggest that brain-to-brain synchrony may underlie effective group collaboration.
Steven Weitz and Mary Rasley - The Edugaming Framework: Keeping the Quiz out ...SeriousGamesAssoc
Presenters:
Steven Weitz, Assistant Professor or Media Arts, Lehigh Carbon Community College
Mary Rasley, Professor of CIS, Lehigh Carbon Community College
This presentation discusses the “Edugaming Framework” which takes educational concepts and creates games from them. The focus of this framework is in keep quizzing out of games, while ensuring that the content itself becomes the core gameplay element in a game.
Our virtual selves, our virtual morals – Mass Effect players’ personality and in game (Eva Murzyn and Evelien Valgaeren)
Interactive Technologies and Games (ITAG) Conference 2016
Health, Disability and EducationDates: Wednesday 26 October 2016 - Thursday 27 October 2016 Location: The Council House, NG1 2DT
Steven Weitz and Mary Rasley - The Edugaming Framework: Keeping the Quiz out ...SeriousGamesAssoc
Presenters:
Steven Weitz, Assistant Professor or Media Arts, Lehigh Carbon Community College
Mary Rasley, Professor of CIS, Lehigh Carbon Community College
This presentation discusses the “Edugaming Framework” which takes educational concepts and creates games from them. The focus of this framework is in keep quizzing out of games, while ensuring that the content itself becomes the core gameplay element in a game.
Our virtual selves, our virtual morals – Mass Effect players’ personality and in game (Eva Murzyn and Evelien Valgaeren)
Interactive Technologies and Games (ITAG) Conference 2016
Health, Disability and EducationDates: Wednesday 26 October 2016 - Thursday 27 October 2016 Location: The Council House, NG1 2DT
The Astronaut Psychology Dashboard (APD) is a design concept for a software application to monitor the physical and mental health of astronauts (and astronaut teams) on long-duration space missions.
It is meant to provide feedback, monitoring, and exercises
to improve each metric concerned. The Astronaut Psychology Dashboard is an attempt to answer the question “What tool would help create the ultimate team?” It distills the best research in team psychology into a single interface, and makes that interface fun and easy to use.
How can Big Data help upgrade brain care?SharpBrains
Current standards of brain and mental care often rely on trials of insufficient scale, which not only limits our ability to diagnose, prevent, treat and personalize care but often leads to incorrect conclusions and undesirable results. What tools and data are becoming available via large-scale web-based and mobile applications, and how can researchers, innovators and practitioners connect with these initiatives?
- Chair: Alvaro Fernandez, CEO of SharpBrains, YGL Class of 2012
- Daniel Sternberg, Data Scientist at Lumosity
- Joan Severson, President of Digital Artefacts
- Robert Bilder, Chief of Medical Psychology-Neuropsychology at UCLA Semel Institute for Neuroscience
On the problems of interface: explainability, conceptual spaces, relevanceGiovanni Sileno
Summary talk of the research conducted at Télécom ParisTech and Paris Dauphine University during my postdoc project (2016-2018), in collaboration with Isabelle Bloch, Jamal Atif and Jean-Louis Dessalles.
Part III of the Museums and the Mind session at ASTC 2008 in Philadelphia. Jennifer Mangels, professor of psychology at the City University of New York, discusses the neuroscience of knowledge-seeking emotions and learning.
The relationship between cognitive styles and social influence in dyad group ...Jingdan "Diana" Zhu
• Conducted experiment sessions with Psychology Department Participation Pool students
• Reviewed literature and developed hypotheses with faculty advisor through weekly meetings
• Presented research poster at Annual Western Psychology Conference for Undergraduate Research and was awarded the Best Poster Presentation
Connections: The Learning Sciences Platform integrates a humane approach in the educational processes through creative initiatives using an interdisciplinary and international perspective.
Connections work is focus on:
- Educational Support “in situ”
- Professional Development
- Educational Research
- Promotion of free resources to improve the learning sciences
Visit our social networks
- Website: http://thelearningsciences.com
- Facebook: https://www.facebook.com/connectionstlsp/
- Instagram: ConexionesPCA2017
- Slideshare: https://www.slideshare.net/Lascienciasdelaprendizaje
- YouTube: https://www.youtube.com/channel/UCyUDsQmjsiJl8T2w5-EF78g
- Linkedin: https://www.linkedin.com/company-beta/16212567/
Contact us:
E-mail: info@thelearningsciences.com
Mobile: +593 995 615 247
The Astronaut Psychology Dashboard (APD) is a design concept for a software application to monitor the physical and mental health of astronauts (and astronaut teams) on long-duration space missions.
It is meant to provide feedback, monitoring, and exercises
to improve each metric concerned. The Astronaut Psychology Dashboard is an attempt to answer the question “What tool would help create the ultimate team?” It distills the best research in team psychology into a single interface, and makes that interface fun and easy to use.
How can Big Data help upgrade brain care?SharpBrains
Current standards of brain and mental care often rely on trials of insufficient scale, which not only limits our ability to diagnose, prevent, treat and personalize care but often leads to incorrect conclusions and undesirable results. What tools and data are becoming available via large-scale web-based and mobile applications, and how can researchers, innovators and practitioners connect with these initiatives?
- Chair: Alvaro Fernandez, CEO of SharpBrains, YGL Class of 2012
- Daniel Sternberg, Data Scientist at Lumosity
- Joan Severson, President of Digital Artefacts
- Robert Bilder, Chief of Medical Psychology-Neuropsychology at UCLA Semel Institute for Neuroscience
On the problems of interface: explainability, conceptual spaces, relevanceGiovanni Sileno
Summary talk of the research conducted at Télécom ParisTech and Paris Dauphine University during my postdoc project (2016-2018), in collaboration with Isabelle Bloch, Jamal Atif and Jean-Louis Dessalles.
Part III of the Museums and the Mind session at ASTC 2008 in Philadelphia. Jennifer Mangels, professor of psychology at the City University of New York, discusses the neuroscience of knowledge-seeking emotions and learning.
The relationship between cognitive styles and social influence in dyad group ...Jingdan "Diana" Zhu
• Conducted experiment sessions with Psychology Department Participation Pool students
• Reviewed literature and developed hypotheses with faculty advisor through weekly meetings
• Presented research poster at Annual Western Psychology Conference for Undergraduate Research and was awarded the Best Poster Presentation
Connections: The Learning Sciences Platform integrates a humane approach in the educational processes through creative initiatives using an interdisciplinary and international perspective.
Connections work is focus on:
- Educational Support “in situ”
- Professional Development
- Educational Research
- Promotion of free resources to improve the learning sciences
Visit our social networks
- Website: http://thelearningsciences.com
- Facebook: https://www.facebook.com/connectionstlsp/
- Instagram: ConexionesPCA2017
- Slideshare: https://www.slideshare.net/Lascienciasdelaprendizaje
- YouTube: https://www.youtube.com/channel/UCyUDsQmjsiJl8T2w5-EF78g
- Linkedin: https://www.linkedin.com/company-beta/16212567/
Contact us:
E-mail: info@thelearningsciences.com
Mobile: +593 995 615 247
National identity predicts public health support during a pandemicJay Van Bavel
Presentation at the annual meeting of the American Political Science Association in 2020 entitled "National identity predicts public health support during a pandemic"
Making your research and teaching more efficient, transparent and impactfulJay Van Bavel
Science is hard and keeping up with the latest changes in technology and research practices can feel overwhelming. This workshop is designed to increase your productivity by making your research and teaching more efficient, transparent, and impactful. This will introduce you to a wide variety of strategies and technologies that you can employ in your work.
This is the presentation I gave at SPSP 2019 examine differences in moral contagion among Democrat and Republican leaders. We analyzed the language leaders used on Twitter and examined the retweet rate for moral and emotional words.
A talk on the neuroscience of cooperation I gave at the Summer Institute for Cognitive Neuroscience in Lake Tahoe in July 2018. The talk reviews research and theory on the psychology and neuroscience underlying human cooperative decision-making.
This is a short talk I gave about the Partisan Brain as part of symposium on Neuropolitics at the International Neuropsychological Society’s annual meeting in Washington, DC (Feb 2018)
2017 demystifying the academic job marketJay Van Bavel
This is a slide deck for navigating the academic job market for phd students and postdocs in psychology (as well as the social and cognitive sciences). It describes the job market, offers concrete advice on preparing materials, explains the interview process, and discusses negotiation strategies.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
The role of brain-to-brain synchrony in collective performance
1. The role of brain-to-brain synchrony in
collective performance
Diego Reinero (NYU)
SANS 2019, Data Blitz
2. “We looked at 180 teams from all over
the company. We had lots of data, but
there was nothing showing that a mix of
specific personality types or skills or
backgrounds made any difference”
“At Google, we’re good at finding patterns.
There weren’t strong patterns here.”
Project Aristotle
3. Social? Neuroscience
the “dark matter of social neuroscience” – Schilbach (2013)
”hot topics for future study” – Stanley & Adolphs (2013)
5. coherence 1-20 Hz
entraining stimulus
Suzanne Dikker
Brain-to-Brain Synchrony Classroom EEG
Student-to-group
neural synchrony
social engaging
activity
Dikker et al 2017
Type of instruction
7. Does brain-to-brain synchrony
predict group performance?
Team vs. Individual;
Problem Solving Tasks
Recruited 44 groups of 4 to come
to the lab; each person outfitted
with mobile EEG headset
Data (N = 174,
44 groups of 4)
Groups completed same set of
problem solving tasks either as a
team (cooperatively) or
individually (competitively)
Tested if teams
outperformed individuals
and whether brain-to-brain
synchrony predicted group
performance
- - - - >
Study Overview
- - - - >
15. Is neural synchrony higher among teams? Does
it predict group performance?
t(442.72) = 4.16, p < .001, d = 0.19 Interaction effect: b = .24, SE = .11, p = .030
16. Group neural synchrony predicts group
performance among teams
Interaction effect: b = .24, SE = .11, p = .030
18. NYU
Van Bavel Lab
Thank you
Jay Van Bavel Suzanne Dikker Ido Davidesco
Anna
Balchunas
Simone Van
Taylor
Anita Woolley Young Ji Kim
John Andrew Chwe
Brienna Carter
Zoe Kleiman
Tessa West
Melda Kahraman Henry Valk
Randi Garcia David Kenny Pascal Wallisch
Dana Bevilacqua
Editor's Notes
Hi, I’m Diego Reinero from NYU and I think watching this clip on loop is oddly satisfying. If you haven’t noticed it already, every player in white - the Phoenix Suns NBA team - moves in perfect unison with shared attention toward the ball and a common goal in mind: to work together to beat their opponent and score at the other end of the court. This synchronicity might be a key toward their success. For decades, researchers have tried to identify ingredients that make up successful teams, yet for a variety of reasons, scientists still know very little about how the brain supports group interactions. And so today I’m going to talk about the role of brain-to-brain synchrony in collective performance.
Before I talk about the brain I want to step back a few years to a time when Google embarked on an initiative — code-named Project Aristotle — to study hundreds of Google’s teams and figure out what went into building the perfect team.
How frequently people ate together
If they had the same hobbies or personality styles
If they had similar backgrounds or if gender composition mattered
And which traits the best managers had in common
BUT no matter how they looked at the data, it was almost impossible to find patterns — or any evidence that the composition of a team made any difference. As one of the Google People Analytics mangers said, [CLICK]‘‘We looked at 180 teams from all over the company. ‘We had lots of data, but there was nothing showing that a mix of specific personality types or skills or backgrounds made any difference.”
[CLICK]‘‘At Google, we’re good at finding patterns. There weren’t strong patterns here.’’
And it’s maybe no surprise! Because our understanding of how the human brain supports things like group interactions and team performance has been somewhat of a black box.
Our typical ways of studying the brain through fMRI or EEG often remove the social element, usually having one participant at a time perform a task in a somewhat constrained environment. But there’s a richness to studying people and their brains in real-time as they interact that may be useful to explore.
As Schilbach notes, this is the dark matter of social neuroscience and as Stanley & Adolphs noted, it's a hot topic for future study.
In fact, over the past 10 years or so we’ve seen a flurry of research starting to explore the neural dynamics that occur when people actually interact with one another – and this real time recording of brain activity from multiple people at the same time is called hyperscanning.
While the field is still in its infancy, and there’s so much we don't know, work so far suggests that brain-to-brain synchrony is associated with:
joint attention & motion
motor coordination
decision making on economic games
and appears consistently when people are face-to-face engaging in real social exchanges
Across studies there are various ways of measuring neural synchrony, and one method that we've employed is looking at EEG coherence.
Dumas (2010): Hand movement synchrony correlates with an interbrain synchronizing network in alpha–mu (7–12 Hz) frequency.
Hu (2017): Interbrain coherence (in LMFC) correlated with mutual prosociality, shared intentionality, and perceived similarity.
Jahng (2017): Interbrain phase synchronization in alpha band underlies use of facial cues to predict partner’s intention to cooperate or defect.
Hu (2018): The results showed a higher cooperation rate and larger theta/alpha-band inter-brain synchrony in condition H-H than in H-M.
[CLICK] Our team has recently applied portable low-cost EEG technology in the classroom and showed that brain-to-brain coupling between students, [CLICK] quantified as inter-brain coherence from 1-20 Hz, predicts how much kids liked the class and each other.
Particularly, there was higher synchrony found when students learned by watching videos (an entraining stimulus) and group discussion (a socially engaging activity).
Here we extend this to team performance. If people are part of a team and there is interdependence between them to reach a shared goal, we hypothesized that we might see more neural synchrony and that neural synchrony might predict group performance, again owing to the role it might play in tracking joint attention and social coordination.
So to test the role of brain synchrony in collective performance and in larger groups where a group identity can form, we recruited 44 groups of 4 to the lab and outfitted each person with a mobile EEG headset.
Then we randomly assigned groups to either the team or individual condition, and people would complete problem solving tasks either as a team (cooperatively) or individually (competitively). We included an equal number of groups of individuals in part as controls, as they would be doing the exact same tasks and thus have some entrainment to a similar stimulus, but without any social coordinationAnd then we looked at whether brain synchrony could predict group performance.
In terms of manipulating groups to be in the team or individual condition, we layered a few things intended to encourage group cohesion among teams while fracturing it among the group of individuals.
So we gave everyone a monetary incentive but for teams it was to based on overall group performance (so the spoils would be shared), whereas among individuals it was based on individual performance (so the best person could win it all).
We also had teams come up with team names, whereas individuals came up with their own code name.
And finally we had teams briefly tap in synchrony to an audio beat whereas individuals tapped to themselves to that same audio beat. This physical tapping was again done to promote feelings of similarity among teammates but not so among individuals.
Again one of our goals in having these two conditions was to try and match some of the external environmental similarities between the two conditions, but shift the psychological experience from a cooperative team-based one that built rapport, to a competitive individualistic one.
Here’s an actual screenshot of groups coming up with team names – you can see they are laughing and bonding – and in the individual condition…not so much.
Finally after the group manipulation, participants begin working on a number of computerized problem solving tasks.
These tasks ranged in terms of the type of task – some require creative thinking like brainstorming creative uses of an object, some require simple execution like retyping text, and some require judgment and negotiation like debating with teammates about how to rank-order the importance of items leftover from a plane that crashed in the middle of nowhere during the winter.
Afterward, everyone completed a few survey measures, including a one-shot Public Goods Game to capture a measure of cooperation, a measure of group identification and dispositional groupiness, the Reading the Mind in the Eyes Test, and demographics.
Ok so on to the results: As a note, all plots you’ll see, teams will be the blueish color and individuals in red.
[once boxplot goes up, can explain– 25th/75th and whiskers extend 1.5 IQR]
As these boxplots show, teammates identified more strongly with one another than individuals, which is a nice manipulation check.
In addition, teammates also cooperated more on an economic game than individuals. People on teams gave on average $1 more to the public pot despite the one-shot nature of this Public Good Game, where technically it's in everyone's personal best interest to defect and keep all your money and hope to reap the rewards of generous others. This suggests people on teams were more trusting of the others in their group.
And when we look at group performance for these various tasks…
Teams outperformed individuals on most problem-solving tasks except those tasks which are prone to process loss (text retyping). Provides discriminant validity for the tasks (sometimes it's clunky to work with a team)
Brainstorm Brick: F(1,42) = 88.51, p < .001
Memory Picture: F(1,42) = 19.92, p < .001
Sudoku: F(1,42) = 49.83, p < .001
Unscramble Words: F(1,42) = 56.73, p < .001
Winter Survival (1, 42) = 3.13, p = .084
Individuals do better on Text Retyping
Text Retyping: F(1,42) = 119.5, p < .001
When we look at whether neural synchrony was higher among teams -- we surprisingly didn’t see this. In fact individuals at the group level were ever so slightly higher. This possibly suggests that entrainment to a common stimulus – the time-locked tasks – likely contributes to higher synchrony and that being distracted by other teammates in non-coordinated ways show some reduced synchrony
However, neural synchrony did predict performance among teams
Speculatively, this suggests that interbrain synchrony reflects a mental synergy or shared engagement that facilitates performance when collaboration is allowed
Since this didn’t occur in the individual condition, it suggests something beyond just working on the same task individually, but rather taking into account the actions of others and mutual influence.
And what's really interesting, and actually ran counter to our initial predictions, was that self-reported group identification did NOT predict performance. So this suggests that neural synchrony may predict successful teams where self-report measures may fail to capture behavior, though more work is needed to understand the precise mechanism
This is the first of hopefully several studies in this vein so stay tuned as we dig deeper . With that, thanks to my collaborators, our funding, and to you all for listening.