{"id":"https://openalex.org/W4297198894","doi":"https://doi.org/10.1007/978-3-031-16564-1_13","title":"Impact of\u00a0Feedback Type on\u00a0Explanatory Interactive Learning","display_name":"Impact of\u00a0Feedback Type on\u00a0Explanatory Interactive Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4297198894","doi":"https://doi.org/10.1007/978-3-031-16564-1_13"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-16564-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-16564-1_13","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-031-16564-1_13","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058624041","display_name":"Misgina Tsighe Hagos","orcid":"https://orcid.org/0000-0002-9318-9417"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]},{"id":"https://openalex.org/I168346926","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38","country_code":"IE","type":"nonprofit","lineage":["https://openalex.org/I168346926"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Misgina Tsighe Hagos","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland","Science Foundation Ireland Centre for Research Training in Machine Learning, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-9318-9417","affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"Science Foundation Ireland Centre for Research Training in Machine Learning, Dublin, Ireland","institution_ids":["https://openalex.org/I168346926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031311803","display_name":"Kathleen M. Curran","orcid":"https://orcid.org/0000-0003-0095-9337"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]},{"id":"https://openalex.org/I168346926","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38","country_code":"IE","type":"nonprofit","lineage":["https://openalex.org/I168346926"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Kathleen M. Curran","raw_affiliation_strings":["School of Medicine, University College Dublin, Dublin, Ireland","Science Foundation Ireland Centre for Research Training in Machine Learning, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0003-0095-9337","affiliations":[{"raw_affiliation_string":"School of Medicine, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"Science Foundation Ireland Centre for Research Training in Machine Learning, Dublin, Ireland","institution_ids":["https://openalex.org/I168346926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084251444","display_name":"Brian Mac Namee","orcid":"https://orcid.org/0000-0003-2518-0274"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]},{"id":"https://openalex.org/I168346926","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38","country_code":"IE","type":"nonprofit","lineage":["https://openalex.org/I168346926"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Brian Mac Namee","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland","Science Foundation Ireland Centre for Research Training in Machine Learning, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0003-2518-0274","affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"Science Foundation Ireland Centre for Research Training in Machine Learning, Dublin, Ireland","institution_ids":["https://openalex.org/I168346926"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058624041"],"corresponding_institution_ids":["https://openalex.org/I100930933","https://openalex.org/I168346926"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.7026,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81146321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962000250816345,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958000183105469,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.8480428457260132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8227921724319458},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6928404569625854},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6592794060707092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5773424506187439},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4923359155654907},{"id":"https://openalex.org/keywords/feedback-loop","display_name":"Feedback loop","score":0.46853652596473694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4528849124908447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4400845468044281},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43955540657043457},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37420159578323364},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.13261720538139343},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07807102799415588}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8480428457260132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8227921724319458},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6928404569625854},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6592794060707092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5773424506187439},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4923359155654907},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.46853652596473694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4528849124908447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4400845468044281},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43955540657043457},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37420159578323364},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.13261720538139343},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07807102799415588},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-16564-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-16564-1_13","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2209.12476","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.12476","pdf_url":"https://arxiv.org/pdf/2209.12476","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-16564-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-16564-1_13","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2003238113","https://openalex.org/W2152052288","https://openalex.org/W2750384547","https://openalex.org/W2949071206","https://openalex.org/W2958514452","https://openalex.org/W2962858109","https://openalex.org/W2963798744","https://openalex.org/W2983256121","https://openalex.org/W3035602609","https://openalex.org/W3048549109","https://openalex.org/W3131437174","https://openalex.org/W3154047531","https://openalex.org/W3176741382","https://openalex.org/W4225085218","https://openalex.org/W4234236334","https://openalex.org/W4287207917","https://openalex.org/W4301431273","https://openalex.org/W4310738704","https://openalex.org/W6600679772","https://openalex.org/W6759166333"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W2519167559","https://openalex.org/W4311248832","https://openalex.org/W4386113923"],"abstract_inverted_index":{"Explanatory":[0],"Interactive":[1],"Learning":[2],"(XIL)":[3],"collects":[4],"user":[5,21,29,64,89,158],"feedback":[6,22,37,40,65,90,134,159],"on":[7,28,67,113,166],"visual":[8],"model":[9,68,130,147,163],"explanations":[10,120],"to":[11,53,100,111,131,164],"implement":[12],"a":[13,122,146,162],"Human-in-the-Loop":[14],"(HITL)":[15],"based":[16,128],"interactive":[17],"learning":[18],"scenario.":[19],"Different":[20],"types":[23,41,66,91],"will":[24],"have":[25],"different":[26,39,43,63,88],"impacts":[27],"experience":[30],"and":[31,70,106,140,154],"the":[32,60,84],"cost":[33],"associated":[34],"with":[35],"collecting":[36],"since":[38],"involve":[42],"levels":[44],"of":[45,62,86],"image":[46,93,104,116,143,168],"annotation.":[47],"Although":[48],"XIL":[49,80,129],"has":[50],"been":[51],"used":[52],"improve":[54],"classification":[55,94,153],"performance":[56,69],"in":[57,92,151],"multiple":[58],"domains,":[59],"impact":[61],"explanation":[71,155],"accuracy":[72,156],"is":[73],"not":[74],"well":[75],"studied.":[76],"To":[77],"guide":[78],"future":[79],"work":[81],"we":[82],"compare":[83],"effectiveness":[85],"two":[87],"tasks:":[95],"(1)":[96],"instructing":[97,108],"an":[98,109],"algorithm":[99,110],"ignore":[101],"certain":[102,114],"spurious":[103,142],"features,":[105],"(2)":[107],"focus":[112,165],"valid":[115,167],"features.":[117,169],"We":[118,136],"use":[119],"from":[121],"Gradient-weighted":[123],"Class":[124],"Activation":[125],"Mapping":[126],"(GradCAM)":[127],"support":[132],"both":[133],"types.":[135],"show":[137],"that":[138,145,160],"identifying":[139],"annotating":[141],"features":[144],"finds":[148],"salient":[149],"results":[150],"superior":[152],"than":[157],"tells":[161]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}