{"id":"https://openalex.org/W4409884530","doi":"https://doi.org/10.1145/3706598.3713955","title":"Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization","display_name":"Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization","publication_year":2025,"publication_date":"2025-04-25","ids":{"openalex":"https://openalex.org/W4409884530","doi":"https://doi.org/10.1145/3706598.3713955"},"language":"en","primary_location":{"id":"doi:10.1145/3706598.3713955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706598.3713955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706598.3713955","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3706598.3713955","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082739099","display_name":"Sheng Long","orcid":"https://orcid.org/0009-0000-9752-5898"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sheng Long","raw_affiliation_strings":["Computer Science, Northwestern University, Evanston, Illinois, USA"],"raw_orcid":"https://orcid.org/0009-0000-9752-5898","affiliations":[{"raw_affiliation_string":"Computer Science, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070488104","display_name":"Angelos Chatzimparmpas","orcid":"https://orcid.org/0000-0002-9079-2376"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Angelos Chatzimparmpas","raw_affiliation_strings":["Department of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-9079-2376","affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113178050","display_name":"Emma Alexander","orcid":"https://orcid.org/0000-0003-0159-3111"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emma Alexander","raw_affiliation_strings":["Computer Science, Northwestern University, Evanston, Illinois, USA"],"raw_orcid":"https://orcid.org/0000-0003-0159-3111","affiliations":[{"raw_affiliation_string":"Computer Science, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089605137","display_name":"Matthew Kay","orcid":"https://orcid.org/0000-0001-9446-0419"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Kay","raw_affiliation_strings":["Computer Science and Communication Studies, Northwestern University, Chicago, Illinois, USA"],"raw_orcid":"https://orcid.org/0000-0001-9446-0419","affiliations":[{"raw_affiliation_string":"Computer Science and Communication Studies, Northwestern University, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068008545","display_name":"Jessica Hullman","orcid":"https://orcid.org/0000-0001-6826-3550"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Hullman","raw_affiliation_strings":["Computer Science, Northwestern University, Evanston, Illinois, USA"],"raw_orcid":"https://orcid.org/0000-0001-6826-3550","affiliations":[{"raw_affiliation_string":"Computer Science, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082739099"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06753982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994000196456909,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9925000071525574,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760647177696228},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6649664044380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6369840502738953},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6339497566223145},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5822980403900146},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.5254753828048706},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4811598062515259},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45009925961494446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4141552150249481},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32684171199798584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10850861668586731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760647177696228},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6649664044380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6369840502738953},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6339497566223145},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5822980403900146},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.5254753828048706},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4811598062515259},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45009925961494446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4141552150249481},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32684171199798584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10850861668586731},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3706598.3713955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706598.3713955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706598.3713955","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.00228","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.00228","pdf_url":"https://arxiv.org/pdf/2503.00228","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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:10.1145/3706598.3713955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706598.3713955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706598.3713955","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2055758252","display_name":null,"funder_award_id":"1930642","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409884530.pdf","grobid_xml":"https://content.openalex.org/works/W4409884530.grobid-xml"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1877320637","https://openalex.org/W1974013408","https://openalex.org/W1979104110","https://openalex.org/W1980209219","https://openalex.org/W1987269142","https://openalex.org/W2024798869","https://openalex.org/W2026124029","https://openalex.org/W2034292143","https://openalex.org/W2040036684","https://openalex.org/W2055745001","https://openalex.org/W2058199791","https://openalex.org/W2059975159","https://openalex.org/W2107647130","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2145721853","https://openalex.org/W2149086733","https://openalex.org/W2150734399","https://openalex.org/W2153777140","https://openalex.org/W2154699792","https://openalex.org/W2160654481","https://openalex.org/W2171349048","https://openalex.org/W2194775991","https://openalex.org/W2395911969","https://openalex.org/W2501003634","https://openalex.org/W2529177160","https://openalex.org/W2610767545","https://openalex.org/W2618530766","https://openalex.org/W2753171348","https://openalex.org/W2783879794","https://openalex.org/W2808580750","https://openalex.org/W2809355118","https://openalex.org/W2888029456","https://openalex.org/W2891938284","https://openalex.org/W2892147425","https://openalex.org/W2896302278","https://openalex.org/W2903867357","https://openalex.org/W2940630528","https://openalex.org/W2949221698","https://openalex.org/W2955425717","https://openalex.org/W2962835968","https://openalex.org/W2962847739","https://openalex.org/W2969948945","https://openalex.org/W2980938713","https://openalex.org/W2990138404","https://openalex.org/W2990427812","https://openalex.org/W3016946841","https://openalex.org/W3017136408","https://openalex.org/W3092472394","https://openalex.org/W3093096163","https://openalex.org/W3177093812","https://openalex.org/W3183318857","https://openalex.org/W3196985610","https://openalex.org/W4221157534","https://openalex.org/W4230472795","https://openalex.org/W4242372420","https://openalex.org/W4254687493","https://openalex.org/W4255461496","https://openalex.org/W4287591560","https://openalex.org/W4289373910","https://openalex.org/W4293580221","https://openalex.org/W4295312788","https://openalex.org/W4301489422","https://openalex.org/W4308831279","https://openalex.org/W4310572212","https://openalex.org/W4319793234","https://openalex.org/W4360995362","https://openalex.org/W4362458506","https://openalex.org/W4366547701","https://openalex.org/W4380994596","https://openalex.org/W4385727593","https://openalex.org/W4387891143","https://openalex.org/W4392218866","https://openalex.org/W4392909201","https://openalex.org/W4394670654","https://openalex.org/W4399585236","https://openalex.org/W4399590716","https://openalex.org/W4399636375"],"related_works":["https://openalex.org/W2105200106","https://openalex.org/W1574055964","https://openalex.org/W2295030662","https://openalex.org/W4225274103","https://openalex.org/W2923661510","https://openalex.org/W1938514595","https://openalex.org/W2579659702","https://openalex.org/W2147893003","https://openalex.org/W2520625499","https://openalex.org/W4312790984"],"abstract_inverted_index":{"Judging":[0],"the":[1,46],"similarity":[2,21,30,58,80,94,111],"of":[3,28,48,53],"visualizations":[4],"is":[5],"crucial":[6],"to":[7,51,104],"various":[8],"applications,":[9],"such":[10,49],"as":[11,33],"visualization-based":[12],"search":[13],"and":[14,31,42,64,77,100,120],"visualization":[15,54],"recommendation":[16],"systems.Recent":[17],"studies":[18,74],"show":[19],"deep-feature-based":[20,107],"metrics":[22,50,108],"correlate":[23],"well":[24],"with":[25],"perceptual":[26],"judgments":[27,52],"image":[29,40],"serve":[32],"effective":[34],"loss":[35],"functions":[36],"for":[37],"tasks":[38],"like":[39],"super-resolution":[41],"style":[43],"transfer.We":[44],"explore":[45],"application":[47],"similarity.We":[55],"extend":[56],"a":[57,92],"metric":[59,83,95],"using":[60,84],"five":[61],"ML":[62],"architectures":[63],"three":[65],"pre-trained":[66,85],"weight":[67],"sets.We":[68],"replicate":[69],"results":[70],"from":[71],"previous":[72],"crowdsourced":[73],"on":[75,97],"scatterplot":[76],"visual":[78,117],"channel":[79],"perception.Notably,":[81],"our":[82],"ImageNet":[86],"weights":[87],"outperformed":[88],"gradient-descent":[89],"tuned":[90],"MS-SSIM,":[91],"multi-scale":[93],"based":[96],"luminance,":[98],"contrast,":[99],"structure.Our":[101],"work":[102],"contributes":[103],"understanding":[105],"how":[106],"can":[109],"enhance":[110],"assessments":[112],"in":[113],"visualization,":[114],"potentially":[115],"improving":[116],"analysis":[118],"tools":[119],"techniques.Supplementary":[121],"materials":[122],"are":[123],"available":[124],"at":[125],"https://osf.io/dj2ms/.":[126]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}