{"id":"https://openalex.org/W4382727133","doi":"https://doi.org/10.3390/make5030038","title":"Using Machine Learning with Eye-Tracking Data to Predict if a Recruiter Will Approve a Resume","display_name":"Using Machine Learning with Eye-Tracking Data to Predict if a Recruiter Will Approve a Resume","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4382727133","doi":"https://doi.org/10.3390/make5030038"},"language":"en","primary_location":{"id":"doi:10.3390/make5030038","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make5030038","pdf_url":"https://www.mdpi.com/2504-4990/5/3/38/pdf?version=1688007545","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/5/3/38/pdf?version=1688007545","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057950136","display_name":"Angel Pina","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angel Pina","raw_affiliation_strings":["Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002755521","display_name":"Corbin Petersheim","orcid":"https://orcid.org/0000-0002-5221-7418"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Corbin Petersheim","raw_affiliation_strings":["Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":"https://orcid.org/0000-0002-5221-7418","affiliations":[{"raw_affiliation_string":"Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005771195","display_name":"Josh Cherian","orcid":"https://orcid.org/0000-0002-7749-2109"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh Cherian","raw_affiliation_strings":["Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":"https://orcid.org/0000-0002-7749-2109","affiliations":[{"raw_affiliation_string":"Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023899846","display_name":"Joanna Lahey","orcid":"https://orcid.org/0000-0002-4674-6647"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joanna Nicole Lahey","raw_affiliation_strings":["Bush School of Government and Public Service, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":"https://orcid.org/0000-0002-4674-6647","affiliations":[{"raw_affiliation_string":"Bush School of Government and Public Service, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103039835","display_name":"Gerianne M. Alexander","orcid":"https://orcid.org/0000-0002-0072-1874"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerianne Alexander","raw_affiliation_strings":["Department of Psychology, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":"https://orcid.org/0000-0002-0072-1874","affiliations":[{"raw_affiliation_string":"Department of Psychology, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075250507","display_name":"Tracy Hammond","orcid":"https://orcid.org/0000-0001-7272-0507"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tracy Hammond","raw_affiliation_strings":["Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA"],"raw_orcid":"https://orcid.org/0000-0001-7272-0507","affiliations":[{"raw_affiliation_string":"Sketch Recognition Lab., Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023899846"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1559},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1559},"fwci":1.6365,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83070023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"5","issue":"3","first_page":"713","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12415","display_name":"Employer Branding and e-HRM","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12671","display_name":"Management and Marketing Education","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.7110495567321777},{"id":"https://openalex.org/keywords/seekers","display_name":"Seekers","score":0.6347270607948303},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.4855932593345642},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4597932994365692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44176921248435974},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.41628536581993103},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4115343987941742},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.3537442684173584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2645348012447357},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.21750405430793762},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06763359904289246}],"concepts":[{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.7110495567321777},{"id":"https://openalex.org/C2776493517","wikidata":"https://www.wikidata.org/wiki/Q1479542","display_name":"Seekers","level":2,"score":0.6347270607948303},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.4855932593345642},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4597932994365692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44176921248435974},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.41628536581993103},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4115343987941742},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3537442684173584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2645348012447357},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.21750405430793762},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06763359904289246},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/make5030038","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make5030038","pdf_url":"https://www.mdpi.com/2504-4990/5/3/38/pdf?version=1688007545","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dbd19c343bea492fb8c419ae2bd98490","is_oa":true,"landing_page_url":"https://doaj.org/article/dbd19c343bea492fb8c419ae2bd98490","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 5, Iss 3, Pp 713-724 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-4990/5/3/38/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/make5030038","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction; Volume 5; Issue 3; Pages: 713-724","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/make5030038","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make5030038","pdf_url":"https://www.mdpi.com/2504-4990/5/3/38/pdf?version=1688007545","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1891483140","display_name":"SBP: Collaborative Research: Gender Discrimination in Hiring for STEM Graduates","funder_award_id":"1658760","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2476643277","display_name":"SBP: Collaborative Research: Gender Discrimination in Hiring for STEM Graduates","funder_award_id":"1658758","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382727133.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W71911365","https://openalex.org/W169347232","https://openalex.org/W1486200697","https://openalex.org/W1945464580","https://openalex.org/W1965804466","https://openalex.org/W1968104019","https://openalex.org/W1968498881","https://openalex.org/W1969714747","https://openalex.org/W1980142264","https://openalex.org/W1983674205","https://openalex.org/W1999140319","https://openalex.org/W2000465050","https://openalex.org/W2003435119","https://openalex.org/W2011287596","https://openalex.org/W2016544901","https://openalex.org/W2034333572","https://openalex.org/W2054953690","https://openalex.org/W2064761174","https://openalex.org/W2076996909","https://openalex.org/W2099196804","https://openalex.org/W2101234009","https://openalex.org/W2147345542","https://openalex.org/W2155374371","https://openalex.org/W2163840594","https://openalex.org/W2165153597","https://openalex.org/W2171184049","https://openalex.org/W2342645056","https://openalex.org/W2409577342","https://openalex.org/W2577992825","https://openalex.org/W2588934119","https://openalex.org/W2624339332","https://openalex.org/W2904544584","https://openalex.org/W2958571841","https://openalex.org/W2962757358","https://openalex.org/W3017358845","https://openalex.org/W3122899712","https://openalex.org/W4210580280","https://openalex.org/W4236362309","https://openalex.org/W6606851606","https://openalex.org/W6628995817","https://openalex.org/W6640750567","https://openalex.org/W6675354045","https://openalex.org/W6714631267","https://openalex.org/W6765310611","https://openalex.org/W6765882845","https://openalex.org/W6807531249"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2511178891","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W178060743","https://openalex.org/W2141888607","https://openalex.org/W2917946173","https://openalex.org/W4382727133"],"abstract_inverted_index":{"When":[0],"job":[1],"seekers":[2],"are":[3,181],"unsuccessful":[4],"in":[5,25,40],"getting":[6],"a":[7,22,31,83,92,96,124],"position,":[8],"they":[9],"often":[10],"do":[11],"not":[12,91],"get":[13],"feedback":[14],"to":[15,20,34,42,52,62,87,99,185,194],"inform":[16],"them":[17],"on":[18,98,143,160,174],"how":[19],"develop":[21],"better":[23],"application":[24],"the":[26,74,100,104,121,138,144,157,161,164,195],"future.":[27],"Therefore,":[28],"there":[29],"is":[30,154],"critical":[32],"need":[33],"understand":[35],"what":[36],"qualifications":[37],"recruiters":[38,59,118,184],"value":[39],"order":[41],"help":[43],"applicants.":[44],"To":[45],"address":[46],"this":[47,78,152],"need,":[48],"we":[49,81],"utilized":[50],"eye-trackers":[51],"measure":[53],"and":[54,140,146,177,187,197],"record":[55],"visual":[56],"data":[57],"of":[58,68,103,110,123,129,156,163],"screening":[60],"resumes":[61,179],"gain":[63],"insight":[64],"into":[65],"which":[66],"Areas":[67],"Interest":[69],"(AOIs)":[70],"influenced":[71],"recruiters\u2019":[72],"decisions":[73],"most.":[75],"Using":[76],"just":[77],"eye-tracking":[79],"data,":[80],"trained":[82],"machine":[84],"learning":[85],"classifier":[86],"predict":[88],"whether":[89],"or":[90],"recruiter":[93,158],"would":[94],"move":[95],"resume":[97,125,139],"next":[101],"level":[102],"hiring":[105],"process":[106],"with":[107,117,190],"an":[108],"AUC":[109],"0.767.":[111],"We":[112,149],"found":[113],"that":[114,151,170,180],"features":[115],"associated":[116],"looking":[119],"outside":[120],"content":[122,162],"were":[126],"most":[127],"predictive":[128],"their":[130],"decision":[131],"as":[132,134],"well":[133],"total":[135],"time":[136,141],"viewing":[137],"spent":[142],"Experience":[145,196],"Education":[147,198],"sections.":[148,199],"hypothesize":[150],"behavior":[153],"indicative":[155],"reflecting":[159],"resume.":[165],"These":[166],"initial":[167],"results":[168],"show":[169],"applicants":[171],"should":[172],"focus":[173],"designing":[175],"clear":[176],"concise":[178],"easy":[182],"for":[183],"absorb":[186],"think":[188],"about,":[189],"additional":[191],"attention":[192],"given":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2023-07-01T00:00:00"}
