Leadership in Orchestra Emerges from the Causal Relationships of Movement Kinematics
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{"title"=>"Leadership in orchestra emerges from the causal relationships of movement kinematics", "type"=>"journal", "authors"=>[{"first_name"=>"Alessandro", "last_name"=>"D'Ausilio", "scopus_author_id"=>"16229298400"}, {"first_name"=>"Leonardo", "last_name"=>"Badino", "scopus_author_id"=>"34881512600"}, {"first_name"=>"Yi", "last_name"=>"Li", "scopus_author_id"=>"57192521924"}, {"first_name"=>"Sera", "last_name"=>"Tokay", "scopus_author_id"=>"55211355100"}, {"first_name"=>"Laila", "last_name"=>"Craighero", "scopus_author_id"=>"6603081745"}, {"first_name"=>"Rosario", "last_name"=>"Canto", "scopus_author_id"=>"23487897600"}, {"first_name"=>"Yiannis", "last_name"=>"Aloimonos", "scopus_author_id"=>"7004453469"}, {"first_name"=>"Luciano", "last_name"=>"Fadiga", "scopus_author_id"=>"6603680863"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84860752875", "doi"=>"10.1371/journal.pone.0035757", "pui"=>"364774451", "pmid"=>"22590511", "scopus"=>"2-s2.0-84860752875", "issn"=>"19326203", "isbn"=>"1932-6203 (Electronic) 1932-6203 (Linking)"}, "id"=>"327f0d31-8249-3025-9c2e-4849b1bbca73", "abstract"=>"Non-verbal communication enables efficient transfer of information among people. In this context, classic orchestras are a remarkable instance of interaction and communication aimed at a common aesthetic goal: musicians train for years in order to acquire and share a non-linguistic framework for sensorimotor communication. To this end, we recorded violinists’ and conductors’ movement kinematics during execution of Mozart pieces, searching for causal relationships among musicians by using the Granger Causality method (GC). We show that the increase of conductor-to-musicians influence, together with the reduction of musician-to-musician coordination (an index of successful leadership) goes in parallel with quality of execution, as assessed by musical experts’ judgments. Rigorous quantification of sensorimotor communication efficacy has always been complicated and affected by rather vague qualitative methodologies. Here we propose that the analysis of motor behavior provides a potentially interesting tool to approach the rather intangible concept of aesthetic quality of music and visual communication efficacy.", "link"=>"http://www.mendeley.com/research/leadership-orchestra-emerges-causal-relationships-movement-kinematics", "reader_count"=>103, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>6, "Researcher"=>21, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>29, "Student > Postgraduate"=>2, "Student > Master"=>15, "Other"=>5, "Student > Bachelor"=>5, "Lecturer"=>4, "Professor"=>9}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>6, "Researcher"=>21, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>29, "Student > Postgraduate"=>2, "Student > Master"=>15, "Other"=>5, "Student > Bachelor"=>5, "Lecturer"=>4, "Professor"=>9}, "reader_count_by_subject_area"=>{"Unspecified"=>7, "Agricultural and Biological Sciences"=>7, "Arts and Humanities"=>11, "Philosophy"=>1, "Business, Management and Accounting"=>2, "Computer Science"=>12, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>2, "Engineering"=>10, "Medicine and Dentistry"=>6, "Neuroscience"=>3, "Physics and Astronomy"=>3, "Psychology"=>29, "Social Sciences"=>8, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Social Sciences"=>{"Social Sciences"=>8}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Psychology"=>{"Psychology"=>29}, "Unspecified"=>{"Unspecified"=>7}, "Arts and Humanities"=>{"Arts and Humanities"=>11}, "Engineering"=>{"Engineering"=>10}, "Neuroscience"=>{"Neuroscience"=>3}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>12}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Linguistics"=>{"Linguistics"=>1}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "United States"=>2, "Luxembourg"=>1, "Japan"=>1, "Finland"=>1, "United Kingdom"=>1, "Italy"=>5, "France"=>1, "Germany"=>2, "Spain"=>2}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/640638"], "description"=>"<p>The histogram represents the Aesthetic factor (F1) modulation across pieces and conductors. Evaluations were performed by other musicians on the musical audio recordings. Bars show the standard error of the mean and asterisks denote significant differences.</p>", "links"=>[], "tags"=>["neuroscience", "computer science"], "article_id"=>311128, "categories"=>["Information And Computing Sciences", "Neuroscience"], "users"=>["Alessandro D'Ausilio", "Leonardo Badino", "Yi Li", "Sera Tokay", "Laila Craighero", "Rosario Canto", "Yiannis Aloimonos", "Luciano Fadiga"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0035757.g003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subjective_ratings_/311128", "title"=>"Subjective ratings.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-09 00:18:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/330517", "https://ndownloader.figshare.com/files/330556"], "description"=>"<div><p>Non-verbal communication enables efficient transfer of information among people. In this context, classic orchestras are a remarkable instance of interaction and communication aimed at a common aesthetic goal: musicians train for years in order to acquire and share a non-linguistic framework for sensorimotor communication. To this end, we recorded violinists' and conductors' movement kinematics during execution of Mozart pieces, searching for causal relationships among musicians by using the Granger Causality method (GC). We show that the increase of conductor-to-musicians influence, together with the reduction of musician-to-musician coordination (an index of successful leadership) goes in parallel with quality of execution, as assessed by musical experts' judgments. Rigorous quantification of sensorimotor communication efficacy has always been complicated and affected by rather vague qualitative methodologies. Here we propose that the analysis of motor behavior provides a potentially interesting tool to approach the rather intangible concept of aesthetic quality of music and visual communication efficacy.</p> </div>", "links"=>[], "tags"=>["orchestra", "emerges", "causal", "relationships", "kinematics"], "article_id"=>125270, "categories"=>["Information And Computing Sciences", "Neuroscience"], "users"=>["Alessandro D'Ausilio", "Leonardo Badino", "Yi Li", "Sera Tokay", "Laila Craighero", "Rosario Canto", "Yiannis Aloimonos", "Luciano Fadiga"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0035757.s001", "https://dx.doi.org/10.1371/journal.pone.0035757.s002"], "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Leadership_in_Orchestra_Emerges_from_the_Causal_Relationships_of_Movement_Kinematics/125270", "title"=>"Leadership in Orchestra Emerges from the Causal Relationships of Movement Kinematics", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-05-09 01:27:50"}
  • {"files"=>["https://ndownloader.figshare.com/files/640540"], "description"=>"<p>Conductor to musicians driving force (A), musician-to-musician interaction strength (B) are evaluated across musical pieces and shown in the upper two histograms. Bars show the standard error of the mean and asterisks denote significant differences.</p>", "links"=>[], "tags"=>["musician-to-musician"], "article_id"=>311027, "categories"=>["Information And Computing Sciences", "Neuroscience"], "users"=>["Alessandro D'Ausilio", "Leonardo Badino", "Yi Li", "Sera Tokay", "Laila Craighero", "Rosario Canto", "Yiannis Aloimonos", "Luciano Fadiga"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0035757.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Conductor_to_musician_musician_to_musician_communication_/311027", "title"=>"Conductor-to-musician, musician-to-musician communication.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-09 00:17:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/640437"], "description"=>"<p>For each piece of music, the time is divided into overlapping windows (panel A show acceleration profiles of C1 conductor in orange and Violin number 5 in blue). The pairwise driving forces between the conductor (orange circle) and each player (blue circle) are computed. The performances are evaluated using conductor-player pairs. Subsequently, compute the pairwise driving forces between players. The summed value of forces between each player (in orange) towards all other musicians (blue circle), excluding the contribution of the conductor (here in grey), forms the interaction strength for that musician (Panel B).</p>", "links"=>[], "tags"=>["neuroscience", "computer science"], "article_id"=>310924, "categories"=>["Information And Computing Sciences", "Neuroscience"], "users"=>["Alessandro D'Ausilio", "Leonardo Badino", "Yi Li", "Sera Tokay", "Laila Craighero", "Rosario Canto", "Yiannis Aloimonos", "Luciano Fadiga"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0035757.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Experimental_design_/310924", "title"=>"Experimental design.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-09 00:15:24"}

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  • {"unique-ip"=>"20", "full-text"=>"7", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"3", "cited-by"=>"1", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"8", "full-text"=>"6", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[322, 550, 671, 773, 864, 955, 1048, 1135, 1223, 1308, 1387, 1465, 1534, 1602, 1673, 1744, 1813, 1885, 1955, 2026, 2093, 2160, 2228, 2290, 2349]}, {"subject_area"=>"/Biology and life sciences/Bioacoustics", "average_usage"=>[514, 772, 969, 1054, 1182, 1272, 1418, 1585, 1668, 1785, 1862, 1948, 2009, 2121, 2322, 2399, 2464, 2557, 2661, 2732, 2798, 2878, 3075, 3348, 3595, 3717]}, {"subject_area"=>"/Biology and life sciences/Psychology", "average_usage"=>[328, 561, 679, 772, 852, 944, 1035, 1122, 1197, 1277, 1354, 1416, 1479, 1549, 1615, 1679, 1740, 1807, 1870, 1937, 1996, 2059, 2118, 2179, 2244]}, {"subject_area"=>"/Physical sciences/Physics", "average_usage"=>[298, 476, 578, 665, 743, 821, 891, 962, 1036, 1108, 1174, 1240, 1312, 1371, 1430, 1494, 1551, 1609, 1673, 1736, 1795, 1857, 1913, 1976, 2035]}, {"subject_area"=>"/Social sciences", "average_usage"=>[354, 585, 710, 810, 904, 998, 1090, 1181, 1268, 1361, 1435, 1525, 1594, 1657, 1731, 1813, 1878, 1948, 2016, 2094, 2158, 2219, 2294, 2347, 2410]}, {"subject_area"=>"/Social sciences/Psychology", "average_usage"=>[336, 562, 679, 770, 848, 938, 1036, 1125, 1198, 1287, 1364, 1425, 1488, 1556, 1618, 1687, 1756, 1817, 1879, 1943, 2011, 2065, 2118, 2186, 2243]}]}
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