{"id":"https://openalex.org/W2100127573","doi":"https://doi.org/10.1109/fg.2013.6553742","title":"Measuring the engagement level of TV viewers","display_name":"Measuring the engagement level of TV viewers","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2100127573","doi":"https://doi.org/10.1109/fg.2013.6553742","mag":"2100127573"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2013.6553742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022316351","display_name":"Javier Hernandez","orcid":"https://orcid.org/0000-0001-9504-5217"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Javier Hernandez","raw_affiliation_strings":["Media Lab, Massachusetts Institute of Technology, Cambridge, USA","Media Lab., Massachusetts Inst. of Technol. Cambridge, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Media Lab, Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Media Lab., Massachusetts Inst. of Technol. Cambridge, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101728117","display_name":"Zicheng Liu","orcid":"https://orcid.org/0000-0001-5894-7828"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zicheng Liu","raw_affiliation_strings":["Microsoft Research, Redmond, USA","Microsoft Research Microsoft Redmond WA USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research Microsoft Redmond WA USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078018174","display_name":"Geoff Hulten","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geoff Hulten","raw_affiliation_strings":["Microsoft Research, Redmond, USA","Microsoft Research Microsoft Redmond WA USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research Microsoft Redmond WA USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042635704","display_name":"Dave DeBarr","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dave DeBarr","raw_affiliation_strings":["Microsoft Research, Redmond, USA","Microsoft Research Microsoft Redmond WA USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research Microsoft Redmond WA USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082466442","display_name":"Kyle Krum","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Krum","raw_affiliation_strings":["Microsoft Research, Redmond, USA","Microsoft Research Microsoft Redmond WA USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research Microsoft Redmond WA USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058849717","display_name":"Zhengyou Zhang","orcid":"https://orcid.org/0000-0002-6606-2525"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengyou Zhang","raw_affiliation_strings":["Microsoft Research, Redmond, USA","Microsoft Research Microsoft Redmond WA USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research Microsoft Redmond WA USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022316351"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":9.2162,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.98247433,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8229171633720398},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5830334424972534},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5530218482017517},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5352144241333008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5030607581138611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4966123700141907},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4403310716152191},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4123767018318176},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.3488147258758545},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3417122960090637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229171633720398},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5830334424972534},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5530218482017517},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5352144241333008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5030607581138611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4966123700141907},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4403310716152191},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4123767018318176},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3488147258758545},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3417122960090637},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fg.2013.6553742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2013.6553742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.310.7368","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.7368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://affect.media.mit.edu/pdfs/13.Hernandez.et_al.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.352.7521","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.352.7521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/zhang/Papers/Engagement-FG2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1513297453","https://openalex.org/W1585512762","https://openalex.org/W1734489760","https://openalex.org/W1855204404","https://openalex.org/W1965464424","https://openalex.org/W1988072966","https://openalex.org/W1989426692","https://openalex.org/W2013486063","https://openalex.org/W2020911841","https://openalex.org/W2087347434","https://openalex.org/W2105198535","https://openalex.org/W2109626108","https://openalex.org/W2112778413","https://openalex.org/W2114644424","https://openalex.org/W2119479037","https://openalex.org/W2121557515","https://openalex.org/W2153635508","https://openalex.org/W2155851103","https://openalex.org/W2167557160","https://openalex.org/W2995034616","https://openalex.org/W3097096317","https://openalex.org/W3120421331","https://openalex.org/W3124728922","https://openalex.org/W4253024038","https://openalex.org/W4285719527","https://openalex.org/W6630540129","https://openalex.org/W6634993357","https://openalex.org/W6638958570"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257","https://openalex.org/W1765993298"],"abstract_inverted_index":{"This":[0],"work":[1,36],"studies":[2,19],"the":[3,12,72,102,113],"feasibility":[4],"of":[5,15,75,105],"using":[6,40,112],"visual":[7],"information":[8],"to":[9,100],"automatically":[10],"measure":[11],"engagement":[13,73],"level":[14],"TV":[16,67],"viewers.":[17],"Previous":[18],"usually":[20],"utilize":[21],"expensive":[22],"and":[23,53,56,69,87,90,116],"invasive":[24],"devices":[25],"(e.g.,":[26],"eye":[27],"trackers":[28],"or":[29],"physiological":[30],"sensors)":[31],"in":[32,45],"controlled":[33],"settings.":[34],"Our":[35],"differs":[37],"by":[38],"only":[39],"an":[41],"RGB":[42],"video":[43],"camera":[44],"a":[46,66,96],"naturalistic":[47],"setting,":[48],"where":[49],"viewers":[50],"move":[51],"freely":[52],"respond":[54],"naturally":[55],"spontaneously.":[57],"In":[58],"particular,":[59],"we":[60,81],"recorded":[61],"47":[62],"people":[63],"while":[64],"watching":[65],"program":[68],"manually":[70],"coded":[71],"levels":[74],"each":[76,79],"viewer.":[77],"From":[78],"video,":[80],"extracted":[82],"several":[83,92],"features":[84],"characterizing":[85],"facial":[86],"head":[88],"gestures,":[89],"used":[91],"aggregation":[93],"methods":[94,122],"over":[95,120],"short":[97],"time":[98],"window":[99],"capture":[101],"temporal":[103],"dynamics":[104],"engagement.":[106],"We":[107],"report":[108],"on":[109,126],"classification":[110],"results":[111],"proposed":[114],"features,":[115],"show":[117],"improved":[118],"performance":[119],"baseline":[121],"that":[123],"mostly":[124],"rely":[125],"head-pose":[127],"orientation.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
