{"id":"https://openalex.org/W4403624885","doi":"https://doi.org/10.1145/3677846.3677861","title":"ImageExplorer Deployment: Understanding Text-Based and Touch-Based Image Exploration in the Wild","display_name":"ImageExplorer Deployment: Understanding Text-Based and Touch-Based Image Exploration in the Wild","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4403624885","doi":"https://doi.org/10.1145/3677846.3677861"},"language":"en","primary_location":{"id":"doi:10.1145/3677846.3677861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677846.3677861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Web for All Conference","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/A5074471239","display_name":"Andi Xu","orcid":"https://orcid.org/0000-0002-2739-5618"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andi Xu","raw_affiliation_strings":["University of Michigan, Ann Arbor, United States"],"raw_orcid":"https://orcid.org/0000-0002-2739-5618","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, United States","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Minyu Cai","orcid":"https://orcid.org/0009-0002-2989-5744"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minyu Cai","raw_affiliation_strings":["University of Michigan, Ann Arbor, United States"],"raw_orcid":"https://orcid.org/0009-0002-2989-5744","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, United States","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dier Hou","orcid":"https://orcid.org/0009-0005-5794-3186"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dier Hou","raw_affiliation_strings":["University of Michigan, Ann Arbor, United States"],"raw_orcid":"https://orcid.org/0009-0005-5794-3186","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, United States","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008164265","display_name":"Ruei-Che Chang","orcid":"https://orcid.org/0000-0001-7545-4136"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruei-Che Chang","raw_affiliation_strings":["University of Michigan, Ann Arbor, United States"],"raw_orcid":"https://orcid.org/0000-0001-7545-4136","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, United States","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021329493","display_name":"Anhong Guo","orcid":"https://orcid.org/0000-0002-4447-7818"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anhong Guo","raw_affiliation_strings":["University of Michigan, Ann Arbor, United States"],"raw_orcid":"https://orcid.org/0000-0002-4447-7818","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, United States","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074471239"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.7142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72084961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9943000078201294,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/software-deployment","display_name":"Software deployment","score":0.7618207931518555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581521034240723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4917316734790802},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4449733793735504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37786638736724854},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3707069158554077},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3450479507446289},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1781299114227295}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7618207931518555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581521034240723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4917316734790802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4449733793735504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37786638736724854},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3707069158554077},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3450479507446289},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1781299114227295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677846.3677861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677846.3677861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Web for All Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1905882502","https://openalex.org/W1986994479","https://openalex.org/W1997141290","https://openalex.org/W2019029324","https://openalex.org/W2022450171","https://openalex.org/W2022699114","https://openalex.org/W2090048052","https://openalex.org/W2106652774","https://openalex.org/W2128597132","https://openalex.org/W2273470494","https://openalex.org/W2578190051","https://openalex.org/W2791213089","https://openalex.org/W2791813490","https://openalex.org/W2913974265","https://openalex.org/W2950239670","https://openalex.org/W2963622213","https://openalex.org/W2963758027","https://openalex.org/W2998746484","https://openalex.org/W3029105705","https://openalex.org/W3030476761","https://openalex.org/W3207136799","https://openalex.org/W4224993535","https://openalex.org/W4225134853","https://openalex.org/W4321471976","https://openalex.org/W4366729076","https://openalex.org/W4387793554"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"Blind":[0],"and":[1,17,23,39,48,81,97,130,143],"visually-impaired":[2],"(BVI)":[3],"users":[4,57,93,111],"often":[5],"rely":[6],"on":[7,31,68],"alt-texts":[8,13],"to":[9,26,46,105],"understand":[10,54,108],"images.":[11],"AI-generated":[12],"can":[14,35],"be":[15],"scalable":[16],"efficient":[18],"but":[19,42],"may":[20,43],"lack":[21],"details":[22,38],"are":[24],"prone":[25],"errors.":[27],"Multi-layered":[28],"touch":[29],"interfaces,":[30],"the":[32,69,116],"other":[33],"hand,":[34],"provide":[36,134],"rich":[37],"spatial":[40],"information,":[41],"take":[44],"longer":[45],"explore":[47],"cause":[49],"higher":[50],"mental":[51],"load.":[52],"To":[53],"how":[55,109],"BVI":[56,110,125],"leverage":[58],"these":[59],"two":[60],"methods,":[61],"we":[62],"deployed":[63],"ImageExplorer,":[64],"an":[65],"iOS":[66],"app":[67],"Apple":[70],"App":[71],"Store":[72],"that":[73],"provides":[74],"multi-layered":[75],"image":[76,113,127,141],"information":[77],"via":[78],"both":[79],"text-based":[80],"touch-based":[82],"interfaces":[83],"with":[84],"customizable":[85],"levels":[86],"of":[87,124,140],"granularity.":[88],"Across":[89],"12":[90],"months,":[91],"371":[92],"uploaded":[94],"651":[95],"images":[96],"explored":[98],"694":[99],"times.":[100],"Their":[101],"activities":[102],"were":[103],"logged":[104],"help":[106],"us":[107],"consume":[112],"captions":[114],"in":[115],"wild.":[117],"This":[118],"work":[119],"informs":[120],"a":[121],"holistic":[122],"understanding":[123],"users\u2019":[126],"exploration":[128],"behavior":[129],"influential":[131],"factors.":[132],"We":[133],"design":[135],"implications":[136],"for":[137],"future":[138],"models":[139],"captioning":[142],"visual":[144],"access":[145],"tools.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}