{"id":"https://openalex.org/W3028765225","doi":"https://doi.org/10.1145/3334480.3382967","title":"Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis","display_name":"Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3028765225","doi":"https://doi.org/10.1145/3334480.3382967","mag":"3028765225"},"language":"en","primary_location":{"id":"doi:10.1145/3334480.3382967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","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/A5055095298","display_name":"Mahsan Nourani","orcid":"https://orcid.org/0000-0002-8823-9635"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahsan Nourani","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005593183","display_name":"Donald R. Honeycutt","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donald R. Honeycutt","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064127720","display_name":"Jeremy E. Block","orcid":"https://orcid.org/0000-0003-1626-9074"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy E. Block","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058250216","display_name":"Chiradeep Roy","orcid":"https://orcid.org/0000-0001-5565-1247"},"institutions":[{"id":"https://openalex.org/I182980787","display_name":"University of Dallas","ror":"https://ror.org/00v3ak792","country_code":"US","type":"education","lineage":["https://openalex.org/I182980787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chiradeep Roy","raw_affiliation_strings":["University of Texas in Dallas, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas in Dallas, Dallas, TX, USA","institution_ids":["https://openalex.org/I182980787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051058850","display_name":"Tahrima Rahman","orcid":"https://orcid.org/0000-0002-9720-5015"},"institutions":[{"id":"https://openalex.org/I182980787","display_name":"University of Dallas","ror":"https://ror.org/00v3ak792","country_code":"US","type":"education","lineage":["https://openalex.org/I182980787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tahrima Rahman","raw_affiliation_strings":["University of Texas in Dallas, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas in Dallas, Dallas, TX, USA","institution_ids":["https://openalex.org/I182980787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090930182","display_name":"Eric D. Ragan","orcid":"https://orcid.org/0000-0002-7192-3457"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric D. Ragan","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038455119","display_name":"Vibhav Gogate","orcid":"https://orcid.org/0000-0002-6459-7358"},"institutions":[{"id":"https://openalex.org/I182980787","display_name":"University of Dallas","ror":"https://ror.org/00v3ak792","country_code":"US","type":"education","lineage":["https://openalex.org/I182980787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vibhav Gogate","raw_affiliation_strings":["University of Texas in Dallas, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas in Dallas, Dallas, TX, USA","institution_ids":["https://openalex.org/I182980787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5055095298"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":3.2621,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9344659,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9613000154495239,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.8174511194229126},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.7130036354064941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118911743164062},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5988243222236633},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5458108186721802},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.4408803880214691},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.43220216035842896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3848651945590973},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3617039918899536},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17703115940093994},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10682785511016846},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.06917011737823486}],"concepts":[{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.8174511194229126},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7130036354064941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118911743164062},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5988243222236633},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5458108186721802},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.4408803880214691},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.43220216035842896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3848651945590973},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3617039918899536},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17703115940093994},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10682785511016846},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.06917011737823486},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3334480.3382967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G6491371590","display_name":null,"funder_award_id":"N66001-17-2-4032","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W158727920","https://openalex.org/W2058315996","https://openalex.org/W2093454802","https://openalex.org/W2111078031","https://openalex.org/W2117859136","https://openalex.org/W2155268664","https://openalex.org/W2282821441","https://openalex.org/W2801048374","https://openalex.org/W2804878416","https://openalex.org/W2891503716","https://openalex.org/W2899803801","https://openalex.org/W2906640975","https://openalex.org/W2928398266","https://openalex.org/W2932257927","https://openalex.org/W2935909748","https://openalex.org/W2942444880","https://openalex.org/W2943317956","https://openalex.org/W2965970765","https://openalex.org/W2969224142","https://openalex.org/W4286800222"],"related_works":["https://openalex.org/W4295769391","https://openalex.org/W2972220648","https://openalex.org/W2332667808","https://openalex.org/W1997921863","https://openalex.org/W3112960490","https://openalex.org/W93605524","https://openalex.org/W2021145421","https://openalex.org/W821271700","https://openalex.org/W2183009720","https://openalex.org/W4250894911"],"abstract_inverted_index":{"We":[0],"present":[1],"research":[2],"on":[3,84],"how":[4,20],"the":[5,55,69,74,88,91,100,109,118,128],"perception":[6,53],"of":[7,16,29,54,87,102,112,120,133],"intelligent":[8,124],"systems":[9,125],"can":[10],"be":[11],"influenced":[12],"by":[13],"early":[14,113],"experiences":[15],"machine":[17],"performance,":[18],"and":[19,90,97,99,126],"explainability":[21],"potentially":[22],"helps":[23],"users":[24],"develop":[25],"an":[26],"accurate":[27],"understanding":[28,86],"system":[30,37,49,89],"capabilities.":[31],"Using":[32],"a":[33,81],"custom":[34],"video":[35],"analysis":[36],"with":[38,123],"AI-assisted":[39],"activity":[40],"recognition,":[41],"we":[42],"studied":[43],"whether":[44],"presenting":[45],"explanatory":[46],"information":[47],"for":[48,130],"outputs":[50],"affects":[51],"user":[52,85],"system.":[56],"In":[57],"this":[58],"experiment,":[59],"some":[60],"participants":[61],"encountered":[62,68],"AI":[63,95],"weaknesses":[64],"early,":[65],"while":[66],"others":[67],"same":[70],"limitations":[71],"later":[72],"in":[73,78],"study.":[75],"The":[76,115],"difference":[77],"ordering":[79],"had":[80],"significant":[82],"impact":[83],"ability":[92],"to":[93,107,135],"detect":[94],"strengths":[96],"weaknesses,":[98],"addition":[101],"explanations":[103],"was":[104],"not":[105],"enough":[106],"counteract":[108],"strong":[110],"effects":[111],"impressions.":[114],"results":[116],"demonstrate":[117],"importance":[119],"first":[121],"impressions":[122],"motivate":[127],"need":[129],"improved":[131],"methods":[132],"intervention":[134],"combat":[136],"automation":[137],"bias.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
