Real-Time Strategy Game Training: Emergence of a Cognitive Flexibility Trait
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{"title"=>"Real-Time Strategy Game Training: Emergence of a Cognitive Flexibility Trait", "type"=>"journal", "authors"=>[{"first_name"=>"Brian D.", "last_name"=>"Glass", "scopus_author_id"=>"24166372600"}, {"first_name"=>"W. Todd", "last_name"=>"Maddox", "scopus_author_id"=>"7007057259"}, {"first_name"=>"Bradley C.", "last_name"=>"Love", "scopus_author_id"=>"7102112661"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "arxiv"=>"arXiv:1208.5792v1", "scopus"=>"2-s2.0-84881366544", "sgr"=>"84881366544", "pui"=>"369535341", "isbn"=>"1932-6203", "pmid"=>"23950921", "doi"=>"10.1371/journal.pone.0070350"}, "id"=>"a1f39565-2517-37c0-a7ae-9906989b1a48", "abstract"=>"Training in action video games can increase the speed of perceptual processing. However, it is unknown whether video-game training can lead to broad-based changes in higher-level competencies such as cognitive flexibility, a core and neurally distributed component of cognition. To determine whether video gaming can enhance cognitive flexibility and, if so, why these changes occur, the current study compares two versions of a real-time strategy (RTS) game. Using a meta-analytic Bayes factor approach, we found that the gaming condition that emphasized maintenance and rapid switching between multiple information and action sources led to a large increase in cognitive flexibility as measured by a wide array of non-video gaming tasks. Theoretically, the results suggest that the distributed brain networks supporting cognitive flexibility can be tuned by engrossing video game experience that stresses maintenance and rapid manipulation of multiple information sources. Practically, these results suggest avenues for increasing cognitive function.", "link"=>"http://www.mendeley.com/research/realtime-strategy-game-training-emergence-cognitive-flexibility-trait-6", "reader_count"=>242, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>8, "Researcher"=>37, "Student > Doctoral Student"=>16, "Student > Ph. D. Student"=>60, "Student > Postgraduate"=>14, "Student > Master"=>38, "Other"=>7, "Student > Bachelor"=>49, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>8, "Researcher"=>37, "Student > Doctoral Student"=>16, "Student > Ph. D. Student"=>60, "Student > Postgraduate"=>14, "Student > Master"=>38, "Other"=>7, "Student > Bachelor"=>49, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>17, "Agricultural and Biological Sciences"=>16, "Arts and Humanities"=>1, "Philosophy"=>1, "Business, Management and Accounting"=>3, "Computer Science"=>29, "Earth and Planetary Sciences"=>2, "Economics, Econometrics and Finance"=>2, "Engineering"=>6, "Biochemistry, Genetics and Molecular Biology"=>4, "Medicine and Dentistry"=>9, "Design"=>4, "Neuroscience"=>8, "Sports and Recreations"=>5, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>2, "Psychology"=>109, "Social Sciences"=>22, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Social Sciences"=>{"Social Sciences"=>22}, "Sports and Recreations"=>{"Sports and Recreations"=>5}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Psychology"=>{"Psychology"=>109}, "Unspecified"=>{"Unspecified"=>17}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Design"=>{"Design"=>4}, "Engineering"=>{"Engineering"=>6}, "Neuroscience"=>{"Neuroscience"=>8}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>16}, "Computer Science"=>{"Computer Science"=>29}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>3}, "Linguistics"=>{"Linguistics"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>4}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Republic of Singapore"=>1, "Romania"=>1, "United States"=>7, "Japan"=>1, "United Kingdom"=>2, "Spain"=>2, "India"=>1, "Greece"=>1, "Canada"=>1, "Netherlands"=>1, "Austria"=>1, "Sweden"=>1, "Belgium"=>1, "China"=>1, "Taiwan"=>1, "Poland"=>1, "Brazil"=>1, "Chile"=>2, "France"=>3, "Germany"=>1}, "group_count"=>14}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1145685"], "description"=>"<p>As time progresses, fewer gaming features from the past influence current game play behavior. The SC-2 group attended to more features and at post-test exhibited enhanced cognitive flexibility performance relative to the Sims group.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "cognition", "Decision making", "Mental health", "psychology", "behavior", "Human performance", "Cognitive psychology", "Attention (behavior)", "attentional", "drives"], "article_id"=>766509, "categories"=>["Medicine", "Biological Sciences", "Sociology"], "users"=>["Brian D. Glass", "W. Todd Maddox", "Bradley C. Love"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0070350.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Size_of_attentional_feature_set_that_drives_behavior_at_the_current_0_seconds_time_step_/766509", "title"=>"Size of attentional feature set that drives behavior at the current (0 seconds) time step.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-08-07 01:45:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/1145692", "https://ndownloader.figshare.com/files/1145700", "https://ndownloader.figshare.com/files/1145701", "https://ndownloader.figshare.com/files/1145705", "https://ndownloader.figshare.com/files/1145708", "https://ndownloader.figshare.com/files/1145709", "https://ndownloader.figshare.com/files/1145710", "https://ndownloader.figshare.com/files/1145712", "https://ndownloader.figshare.com/files/1145713", "https://ndownloader.figshare.com/files/1145714", "https://ndownloader.figshare.com/files/1145715", "https://ndownloader.figshare.com/files/1145716"], "description"=>"<div><p>Training in action video games can increase the speed of perceptual processing. However, it is unknown whether video-game training can lead to broad-based changes in higher-level competencies such as cognitive flexibility, a core and neurally distributed component of cognition. To determine whether video gaming can enhance cognitive flexibility and, if so, why these changes occur, the current study compares two versions of a real-time strategy (RTS) game. Using a meta-analytic Bayes factor approach, we found that the gaming condition that emphasized maintenance and rapid switching between multiple information and action sources led to a large increase in cognitive flexibility as measured by a wide array of non-video gaming tasks. Theoretically, the results suggest that the distributed brain networks supporting cognitive flexibility can be tuned by engrossing video game experience that stresses maintenance and rapid manipulation of multiple information sources. Practically, these results suggest avenues for increasing cognitive function.</p></div>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "cognition", "Decision making", "Mental health", "psychology", "behavior", "Human performance", "Cognitive psychology", "Attention (behavior)", "emergence"], "article_id"=>766516, "categories"=>["Medicine", "Biological Sciences", "Sociology"], "users"=>["Brian D. Glass", "W. Todd Maddox", "Bradley C. Love"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0070350.s001", "https://dx.doi.org/10.1371/journal.pone.0070350.s002", "https://dx.doi.org/10.1371/journal.pone.0070350.s003", "https://dx.doi.org/10.1371/journal.pone.0070350.s004", "https://dx.doi.org/10.1371/journal.pone.0070350.s005", "https://dx.doi.org/10.1371/journal.pone.0070350.s006", "https://dx.doi.org/10.1371/journal.pone.0070350.s007", "https://dx.doi.org/10.1371/journal.pone.0070350.s008", "https://dx.doi.org/10.1371/journal.pone.0070350.s009", "https://dx.doi.org/10.1371/journal.pone.0070350.s010", "https://dx.doi.org/10.1371/journal.pone.0070350.s011", "https://dx.doi.org/10.1371/journal.pone.0070350.s012"], "stats"=>{"downloads"=>17, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Real_Time_Strategy_Game_Training_Emergence_of_a_Cognitive_Flexibility_Trait_/766516", "title"=>"Real-Time Strategy Game Training: Emergence of a Cognitive Flexibility Trait", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-08-07 01:45:01"}
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  • {"files"=>["https://ndownloader.figshare.com/files/1145687"], "description"=>"<p>Effect sizes (Cohen's <i>d</i>) in parentheses.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "cognition", "Decision making", "Mental health", "psychology", "behavior", "Human performance", "Cognitive psychology", "Attention (behavior)", "meta-analytic", "bayes", "contrasting", "post-test", "minus", "pre-test", "scores", "sc", "groups"], "article_id"=>766511, "categories"=>["Medicine", "Biological Sciences", "Sociology"], "users"=>["Brian D. Glass", "W. Todd Maddox", "Bradley C. Love"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0070350.t001", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_t_values_which_were_the_basis_for_calculating_the_meta_analytic_Bayes_factors_contrasting_post_test_minus_pre_test_scores_for_SC_groups_versus_the_control_Sims_group_/766511", "title"=>"The <i>t</i>-values, which were the basis for calculating the meta-analytic Bayes factors, contrasting post-test minus pre-test scores for SC groups versus the control (Sims) group.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-08-07 01:45:01"}

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  • {"unique-ip"=>"96", "full-text"=>"163", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"110", "full-text"=>"135", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"125", "full-text"=>"145", "pdf"=>"15", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"13", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"103", "full-text"=>"128", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"78", "full-text"=>"104", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"100", "full-text"=>"138", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"14", "cited-by"=>"1", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"121", "full-text"=>"138", "pdf"=>"13", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"77", "full-text"=>"85", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"1", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"157", "full-text"=>"199", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"3", "cited-by"=>"5", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"160", "full-text"=>"199", "pdf"=>"16", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"16", "cited-by"=>"2", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"203", "full-text"=>"250", "pdf"=>"20", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"3", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"204", "full-text"=>"256", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"14", "cited-by"=>"3", "year"=>"2020", "month"=>"5"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Biology and life sciences/Behavior", "average_usage"=>[306, 490, 611, 718, 817, 916, 999, 1091, 1185, 1258, 1341, 1412, 1476]}, {"subject_area"=>"/Computer and information sciences/Neural networks", "average_usage"=>[284, 481, 590, 705, 782, 880, 969, 1051, 1141, 1227, 1337, 1399, 1463]}, {"subject_area"=>"/Social sciences", "average_usage"=>[289, 475, 593, 703, 805, 902, 990, 1078, 1158, 1250, 1336, 1417, 1482]}, {"subject_area"=>"/Social sciences/Psychology", "average_usage"=>[294, 460, 580, 683, 777, 868, 957, 1044, 1124, 1202, 1276, 1356, 1422]}]}
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