{"id":"https://openalex.org/W7153782478","doi":"https://doi.org/10.1145/3772363.3798781","title":"Exploring How Task Complexity and User Self-Efficacy Shape AI Agent Design for AI-assisted Translation","display_name":"Exploring How Task Complexity and User Self-Efficacy Shape AI Agent Design for AI-assisted Translation","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153782478","doi":"https://doi.org/10.1145/3772363.3798781"},"language":null,"primary_location":{"id":"doi:10.1145/3772363.3798781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798781","pdf_url":null,"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 Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772363.3798781","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jisu Kim","orcid":"https://orcid.org/0009-0000-1559-8779"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jisu Kim","raw_affiliation_strings":["Division of Artificial Intelligence & Software, Ewha Womans University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0000-1559-8779","affiliations":[{"raw_affiliation_string":"Division of Artificial Intelligence & Software, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058167732","display_name":"Uran Oh","orcid":"https://orcid.org/0000-0002-7832-6313"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Uran Oh","raw_affiliation_strings":["Computer Science and Engineering, Ewha Womans University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-7832-6313","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138925566"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.0892999991774559,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.0892999991774559,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.08049999922513962,"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/T13629","display_name":"Text Readability and Simplification","score":0.039799999445676804,"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/task","display_name":"Task (project management)","score":0.6179999709129333},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4011000096797943},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.3264000117778778},{"id":"https://openalex.org/keywords/intelligent-agent","display_name":"Intelligent agent","score":0.29179999232292175},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2768999934196472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787999868392944},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6179999709129333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49729999899864197},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4011000096797943},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38530001044273376},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2759999930858612}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772363.3798781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798781","pdf_url":null,"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 Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3772363.3798781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798781","pdf_url":null,"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 Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2796000004","https://openalex.org/W3044438666","https://openalex.org/W3160638507","https://openalex.org/W3202970975","https://openalex.org/W4225011935","https://openalex.org/W4292808503","https://openalex.org/W4366548330","https://openalex.org/W4393065402","https://openalex.org/W4393904462","https://openalex.org/W4396832139","https://openalex.org/W4400267629","https://openalex.org/W4406800520","https://openalex.org/W4409748506","https://openalex.org/W4412505619","https://openalex.org/W4412888209","https://openalex.org/W4414463097"],"related_works":[],"abstract_inverted_index":{"AI":[0],"Agents":[1],"promise":[2],"to":[3,64,96,140],"reduce":[4],"prompt":[5],"engineering":[6],"burden":[7],"through":[8],"autonomous":[9],"workflows,":[10],"yet":[11],"their":[12],"user":[13,43,129,142],"experience":[14],"impact":[15],"remains":[16],"under-explored.":[17],"We":[18,120],"conducted":[19],"a":[20,25,31],"within-subjects":[21],"study":[22],"(N=20)":[23],"comparing":[24],"single":[26,59],"LLM":[27,60],"chat":[28],"interface":[29],"with":[30],"structured":[32,66,108],"agent":[33,109,125],"pipeline":[34,67,102,110],"for":[35,124],"AI-assisted":[36],"translation.":[37],"Task":[38],"complexity":[39,84],"(three":[40],"levels)":[41],"and":[42,46,72,134],"self-efficacy":[44,90],"(AI":[45],"translation)":[47],"were":[48,92],"examined":[49],"as":[50],"moderating":[51],"factors.":[52],"Under":[53],"the":[54,58,65,101],"evaluated":[55],"translation":[56,113],"tasks,":[57,81],"was":[61],"often":[62],"preferred":[63],"in":[68,79,100],"satisfaction,":[69],"workload":[70],"(NASA-TLX),":[71],"efficiency":[73],"(Inter-Message":[74],"Interval).":[75],"Usability":[76],"differences":[77],"widened":[78],"higher-complexity":[80],"while":[82],"medium":[83],"suggested":[85],"potential":[86],"outcome-level":[87],"trade-offs.":[88],"Higher":[89],"users":[91],"also":[93],"more":[94],"sensitive":[95],"reduced":[97],"perceived":[98],"control":[99],"condition.":[103],"These":[104],"findings":[105],"reflect":[106],"one":[107],"under":[111],"specific":[112],"tasks":[114],"rather":[115],"than":[116],"agentic":[117],"systems":[118],"broadly.":[119],"derive":[121],"design":[122],"implications":[123],"interfaces,":[126],"including":[127],"separating":[128],"intent":[130],"from":[131],"content":[132],"generation":[133],"supporting":[135],"adaptive":[136],"levels":[137],"of":[138],"automation":[139],"preserve":[141],"agency.":[143]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-13T00:00:00"}