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description Publicationkeyboard_double_arrow_right Article 2019 United Kingdom, ItalyElsevier BV SSHRC, EC | EnTimeMentSSHRC ,EC| EnTimeMentFrancesca Capozzi; Cigdem Beyan; Antonio Pierro; Atesh Koul; Vittorio Murino; Stefano Livi; Andrew P. Bayliss; Jelena Ristic; Cristina Becchio;Summary Can social gaze behavior reveal the leader during real-world group interactions? To answer this question, we developed a novel tripartite approach combining (1) computer vision methods for remote gaze estimation, (2) a detailed taxonomy to encode the implicit semantics of multi-party gaze features, and (3) machine learning methods to establish dependencies between leadership and visual behaviors. We found that social gaze behavior distinctively identified group leaders. Crucially, the relationship between leadership and gaze behavior generalized across democratic and autocratic leadership styles under conditions of low and high time-pressure, suggesting that gaze can serve as a general marker of leadership. These findings provide the first direct evidence that group visual patterns can reveal leadership across different social behaviors and validate a new promising method for monitoring natural group interactions. Highlights • Leadership shapes gaze dynamics during real-world human group interactions • Social gaze behavior distinctively identifies group leaders • Identification generalizes across leadership styles and situational conditions • Gaze can serve as a general marker of leadership Social Interaction; Neuroscience; Behavioral Neuroscience Graphical Abstract
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); iScience; Archivio Istituzionale Università di Bergamo; Archivio della ricerca- Università di Roma La Sapienza; IRIS - Institutional Research Information System of the University of TrentoOther literature type . Article . 2019License: Elsevier TDMUniversity of East Anglia digital repositoryArticle . 2019Data sources: University of East Anglia digital repositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio Istituzionale Università di BergamoArticle . 2019Data sources: Archivio Istituzionale Università di BergamoIRIS - Università degli Studi di VeronaArticle . 2019Data sources: IRIS - Università degli Studi di Veronaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu28 citations 28 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 11visibility views 11 download downloads 46 Powered bymore_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); iScience; Archivio Istituzionale Università di Bergamo; Archivio della ricerca- Università di Roma La Sapienza; IRIS - Institutional Research Information System of the University of TrentoOther literature type . Article . 2019License: Elsevier TDMUniversity of East Anglia digital repositoryArticle . 2019Data sources: University of East Anglia digital repositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio Istituzionale Università di BergamoArticle . 2019Data sources: Archivio Istituzionale Università di BergamoIRIS - Università degli Studi di VeronaArticle . 2019Data sources: IRIS - Università degli Studi di Veronaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.isci.2019.05.035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021IOP Publishing SSHRC, NSERC, EC | Bio4CompSSHRC ,NSERC ,EC| Bio4CompAuthors: Ayyappasamy Sudalaiyadum Perumal; Zihao Wang; Falco C. M. J. M. van Delft; Giulia Ippoliti; +2 AuthorsAyyappasamy Sudalaiyadum Perumal; Zihao Wang; Falco C. M. J. M. van Delft; Giulia Ippoliti; Lila Kari; Dan V. Nicolau;Abstract All known algorithms to solve nondeterministic polynomial (NP) complete problems, relevant to many real-life applications, require the exploration of a space of potential solutions, which grows exponentially with the size of the problem. Since electronic computers can implement only limited parallelism, their use for solving NP-complete problems is impractical for very large instances, and consequently alternative massively parallel computing approaches were proposed to address this challenge. We present a scaling analysis of two such alternative computing approaches, DNA computing (DNA-C) and network biocomputing with agents (NB-C), compared with electronic computing (E-C). The Subset Sum Problem (SSP), a known NP-complete problem, was used as a computational benchmark, to compare the volume, the computing time, and the energy required for each type of computation, relative to the input size. Our analysis shows that the sequentiality of E-C translates in a very small volume compared to that required by DNA-C and NB-C, at the cost of the E-C computing time being outperformed first by DNA-C (linear run time), followed by NB-C. Finally, NB-C appears to be more energy-efficient than DNA-C for some types of input sets, while being less energy-efficient for others, with E-C being always an order of magnitude less energy efficient than DNA-C. This scaling study suggest that presently none of these computing approaches win, even theoretically, for all three key performance criteria, and that all require breakthroughs to overcome their limitations, with potential solutions including hybrid computing approaches.
New Journal of Physi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1367-2630/ac3883&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert New Journal of Physi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1367-2630/ac3883&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Germany, ItalySpringer Science and Business Media LLC SSHRC, UKRI | The self as agent-environ..., EC | HBP SGA2 +2 projectsSSHRC ,UKRI| The self as agent-environment nexus: crossing disciplinary boundaries to help human selves and anticipate artificial selves ,EC| HBP SGA2 ,CIHR ,NSERCFederico Zilio; Javier Gomez-Pilar; Ujwal Chaudhary; Stuart Fogel; Tatiana Fomina; Matthis Synofzik; Ludger Schöls; Shumei Cao; Jun Zhang; Zirui Huang; Niels Birbaumer; Georg Northoff;AbstractComplete locked-in syndrome (CLIS) resulting from late-stage amyotrophic lateral sclerosis (ALS) is characterised by loss of motor function and eye movements. The absence of behavioural indicators of consciousness makes the search for neuronal correlates as possible biomarkers clinically and ethically urgent. EEG-based measures of brain dynamics such as power-law exponent (PLE) and Lempel-Ziv complexity (LZC) have been shown to have explanatory power for consciousness and may provide such neuronal indices for patients with CLIS. Here, we validated PLE and LZC (calculated in a dynamic way) as benchmarks of a wide range of arousal states across different reference states of consciousness (e.g., awake, sleep stages, ketamine, sevoflurane). We show a tendency toward high PLE and low LZC, with high intra-subject fluctuations and inter-subject variability in a cohort of CLIS patients with values graded along different arousal states as in our reference data sets. In conclusion, changes in brain dynamics indicate altered arousal in CLIS. Specifically, PLE and LZC are potentially relevant biomarkers to identify or diagnose the arousal level in CLIS and to determine the optimal time point for treatment, including communication attempts.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s42003-023-05109-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s42003-023-05109-1&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2019 United Kingdom, ItalyElsevier BV SSHRC, EC | EnTimeMentSSHRC ,EC| EnTimeMentFrancesca Capozzi; Cigdem Beyan; Antonio Pierro; Atesh Koul; Vittorio Murino; Stefano Livi; Andrew P. Bayliss; Jelena Ristic; Cristina Becchio;Summary Can social gaze behavior reveal the leader during real-world group interactions? To answer this question, we developed a novel tripartite approach combining (1) computer vision methods for remote gaze estimation, (2) a detailed taxonomy to encode the implicit semantics of multi-party gaze features, and (3) machine learning methods to establish dependencies between leadership and visual behaviors. We found that social gaze behavior distinctively identified group leaders. Crucially, the relationship between leadership and gaze behavior generalized across democratic and autocratic leadership styles under conditions of low and high time-pressure, suggesting that gaze can serve as a general marker of leadership. These findings provide the first direct evidence that group visual patterns can reveal leadership across different social behaviors and validate a new promising method for monitoring natural group interactions. Highlights • Leadership shapes gaze dynamics during real-world human group interactions • Social gaze behavior distinctively identifies group leaders • Identification generalizes across leadership styles and situational conditions • Gaze can serve as a general marker of leadership Social Interaction; Neuroscience; Behavioral Neuroscience Graphical Abstract
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); iScience; Archivio Istituzionale Università di Bergamo; Archivio della ricerca- Università di Roma La Sapienza; IRIS - Institutional Research Information System of the University of TrentoOther literature type . Article . 2019License: Elsevier TDMUniversity of East Anglia digital repositoryArticle . 2019Data sources: University of East Anglia digital repositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio Istituzionale Università di BergamoArticle . 2019Data sources: Archivio Istituzionale Università di BergamoIRIS - Università degli Studi di VeronaArticle . 2019Data sources: IRIS - Università degli Studi di Veronaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.isci.2019.05.035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu28 citations 28 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 11visibility views 11 download downloads 46 Powered bymore_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); iScience; Archivio Istituzionale Università di Bergamo; Archivio della ricerca- Università di Roma La Sapienza; IRIS - Institutional Research Information System of the University of TrentoOther literature type . Article . 2019License: Elsevier TDMUniversity of East Anglia digital repositoryArticle . 2019Data sources: University of East Anglia digital repositoryArchivio della ricerca- Università di Roma La SapienzaArticle . 2019Data sources: Archivio della ricerca- Università di Roma La SapienzaArchivio Istituzionale Università di BergamoArticle . 2019Data sources: Archivio Istituzionale Università di BergamoIRIS - Università degli Studi di VeronaArticle . 2019Data sources: IRIS - Università degli Studi di Veronaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.isci.2019.05.035&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021IOP Publishing SSHRC, NSERC, EC | Bio4CompSSHRC ,NSERC ,EC| Bio4CompAuthors: Ayyappasamy Sudalaiyadum Perumal; Zihao Wang; Falco C. M. J. M. van Delft; Giulia Ippoliti; +2 AuthorsAyyappasamy Sudalaiyadum Perumal; Zihao Wang; Falco C. M. J. M. van Delft; Giulia Ippoliti; Lila Kari; Dan V. Nicolau;Abstract All known algorithms to solve nondeterministic polynomial (NP) complete problems, relevant to many real-life applications, require the exploration of a space of potential solutions, which grows exponentially with the size of the problem. Since electronic computers can implement only limited parallelism, their use for solving NP-complete problems is impractical for very large instances, and consequently alternative massively parallel computing approaches were proposed to address this challenge. We present a scaling analysis of two such alternative computing approaches, DNA computing (DNA-C) and network biocomputing with agents (NB-C), compared with electronic computing (E-C). The Subset Sum Problem (SSP), a known NP-complete problem, was used as a computational benchmark, to compare the volume, the computing time, and the energy required for each type of computation, relative to the input size. Our analysis shows that the sequentiality of E-C translates in a very small volume compared to that required by DNA-C and NB-C, at the cost of the E-C computing time being outperformed first by DNA-C (linear run time), followed by NB-C. Finally, NB-C appears to be more energy-efficient than DNA-C for some types of input sets, while being less energy-efficient for others, with E-C being always an order of magnitude less energy efficient than DNA-C. This scaling study suggest that presently none of these computing approaches win, even theoretically, for all three key performance criteria, and that all require breakthroughs to overcome their limitations, with potential solutions including hybrid computing approaches.
New Journal of Physi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1367-2630/ac3883&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert New Journal of Physi... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1367-2630/ac3883&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Germany, ItalySpringer Science and Business Media LLC SSHRC, UKRI | The self as agent-environ..., EC | HBP SGA2 +2 projectsSSHRC ,UKRI| The self as agent-environment nexus: crossing disciplinary boundaries to help human selves and anticipate artificial selves ,EC| HBP SGA2 ,CIHR ,NSERCFederico Zilio; Javier Gomez-Pilar; Ujwal Chaudhary; Stuart Fogel; Tatiana Fomina; Matthis Synofzik; Ludger Schöls; Shumei Cao; Jun Zhang; Zirui Huang; Niels Birbaumer; Georg Northoff;AbstractComplete locked-in syndrome (CLIS) resulting from late-stage amyotrophic lateral sclerosis (ALS) is characterised by loss of motor function and eye movements. The absence of behavioural indicators of consciousness makes the search for neuronal correlates as possible biomarkers clinically and ethically urgent. EEG-based measures of brain dynamics such as power-law exponent (PLE) and Lempel-Ziv complexity (LZC) have been shown to have explanatory power for consciousness and may provide such neuronal indices for patients with CLIS. Here, we validated PLE and LZC (calculated in a dynamic way) as benchmarks of a wide range of arousal states across different reference states of consciousness (e.g., awake, sleep stages, ketamine, sevoflurane). We show a tendency toward high PLE and low LZC, with high intra-subject fluctuations and inter-subject variability in a cohort of CLIS patients with values graded along different arousal states as in our reference data sets. In conclusion, changes in brain dynamics indicate altered arousal in CLIS. Specifically, PLE and LZC are potentially relevant biomarkers to identify or diagnose the arousal level in CLIS and to determine the optimal time point for treatment, including communication attempts.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s42003-023-05109-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s42003-023-05109-1&type=result"></script>'); --> </script>
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