On User’s Reception of Local Explanation: An Argumentation Analysis

A local explanation method (LE) in explainable artificial intelligence (XAI) is basically a two-step procedure: first construct a naively explainable model approximating the black-box model in need of explanations; then extract an explanation from the approximate model. Since an expert user knows th...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of advanced computational intelligence and intelligent informatics Ročník 29; číslo 6; s. 1552 - 1564
Hlavní autori: Hung, Nguyen Duy, Theeramunkong, Thanaruk, Huynh, Van-Nam
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Tokyo Fuji Technology Press Co. Ltd 20.11.2025
Predmet:
Artificial intelligence
Explainable artificial intelligence
ISSN:1343-0130, 1883-8014
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract A local explanation method (LE) in explainable artificial intelligence (XAI) is basically a two-step procedure: first construct a naively explainable model approximating the black-box model in need of explanations; then extract an explanation from the approximate model. Since an expert user knows that the extracted explanation aims to be just analogous to the target/ideal explanation, the expert user has to use analogical arguments to transfer certain properties observed on the former to the latter. In this paper, assuming an expert user whose knowledge satisfies certain conjectures, we reconstruct the structures “ reason therefore conclusion ” of these analogical arguments and study conditions for ensuring the truth of the reason , conditions for ensuring that the conclusion follows necessarily from the reason , as well as counter-arguments the user has to consider. It is argued that the presented findings shed light on the internal reasoning of an expert user at the end of User-LE dialogue. Broadly speaking, the paper suggests a promising direction to extend existing explanation methods, which are system-centered (focusing on generating explanations), to user-centered XAI which must attend to user’s receptions as well.
AbstractList A local explanation method (LE) in explainable artificial intelligence (XAI) is basically a two-step procedure: first construct a naively explainable model approximating the black-box model in need of explanations; then extract an explanation from the approximate model. Since an expert user knows that the extracted explanation aims to be just analogous to the target/ideal explanation, the expert user has to use analogical arguments to transfer certain properties observed on the former to the latter. In this paper, assuming an expert user whose knowledge satisfies certain conjectures, we reconstruct the structures “reason therefore conclusion” of these analogical arguments and study conditions for ensuring the truth of the reason, conditions for ensuring that the conclusion follows necessarily from the reason, as well as counter-arguments the user has to consider. It is argued that the presented findings shed light on the internal reasoning of an expert user at the end of User-LE dialogue. Broadly speaking, the paper suggests a promising direction to extend existing explanation methods, which are system-centered (focusing on generating explanations), to user-centered XAI which must attend to user’s receptions as well.
Author Hung, Nguyen Duy
Huynh, Van-Nam
Theeramunkong, Thanaruk
Author_xml – sequence: 1
  givenname: Nguyen Duy
  orcidid: 0000-0003-3659-0025
  surname: Hung
  fullname: Hung, Nguyen Duy
  organization: Sirindhorn International Institute of Technology, Thammasat University, 99 Moo 18, Km. 41 on Paholyothin Highway, Khlong Luang, Pathum Thani 12120, Thailand
– sequence: 2
  givenname: Thanaruk
  orcidid: 0000-0003-0744-4213
  surname: Theeramunkong
  fullname: Theeramunkong, Thanaruk
  organization: Sirindhorn International Institute of Technology, Thammasat University, 99 Moo 18, Km. 41 on Paholyothin Highway, Khlong Luang, Pathum Thani 12120, Thailand
– sequence: 3
  givenname: Van-Nam
  orcidid: 0000-0002-3860-7815
  surname: Huynh
  fullname: Huynh, Van-Nam
  organization: Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan
BookMark eNotkM1KAzEUhYNUsNa-gKuA66k3_zPuSqk_UCiIXYeYSWTKNDMmLdidr-Hr-SSmHVf33MO5l8N3jUahCw6hWwIzCpUU91tjm6bJCxWznghBL9CYlCUrSiB8lDXjrADC4ApNU9oCZE0lcDJGy3XAm-Ti7_dPwq_Oun7fdAF3Hq86a1q8_OpbE8zJfMDzgOfx47BzYX92smHaY2rSDbr0pk1u-j8naPO4fFs8F6v108tivios5ZwWtbWME868VaqsqBMKvDJABJHG1woMAQlMKOq9tZUTon6XjucLp7yQvGYTdDf87WP3eXBpr7fdIeYSSTOqaCUrkDSn6JCysUspOq_72OxMPGoC-kxMD8T0iZg-E2N_mBthZA
Cites_doi 10.24963/ijcai.2018/269
10.1609/aaai.v32i1.11491
10.1007/978-3-319-22849-5_15
10.24963/ijcai.2021/600
10.1007/978-0-387-98197-0_6
10.3233/FAIA200511
10.1016/j.procs.2019.09.182
10.24963/kr.2020/83
10.1016/j.artint.2019.06.008
10.3233/FAIA200492
10.1145/2939672.2939778
10.1007/978-0-387-98197-0_10
10.1609/aaai.v33i01.330110079
10.1016/j.eswa.2019.03.012
10.1145/3236386.3241340
10.1017/S1471068414000702
10.1007/978-3-031-68208-7_11
10.1016/j.eswa.2017.03.009
10.1016/j.eswa.2018.09.038
10.1016/0004-3702(94)00041-X
10.3233/978-1-61499-111-3-398
10.3233/978-1-61499-419-0-117
10.1017/S0269888921000011
10.1080/19462166.2013.869878
10.1016/j.artmed.2013.02.003
10.1515/9780691218304
10.1017/S0012217321000226
10.1016/j.eswa.2012.12.036
10.1007/978-3-030-20528-7_8
10.1007/978-0-387-98197-0_4
10.1080/19462166.2013.869766
10.1093/logcom/exp032
10.1007/978-3-642-12805-9_12
10.1609/aaai.v33i01.33012752
10.1007/978-3-319-91122-9_18
10.1609/aaai.v29i1.9420
10.1016/j.ijar.2016.09.002
10.1093/logcom/ext027
10.3233/FAIA200179
10.1080/1386979032000186863
10.2139/ssrn.3063289
10.1007/978-3-030-03098-8_21
ContentType Journal Article
Copyright Copyright © 2025 Fuji Technology Press Ltd.
Copyright_xml – notice: Copyright © 2025 Fuji Technology Press Ltd.
CorporateAuthor Editorial Office
CorporateAuthor_xml – name: Editorial Office
DBID AAYXX
CITATION
7SC
7SP
8FD
8FE
8FG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
GNUQQ
HCIFZ
JQ2
K7-
L7M
L~C
L~D
P5Z
P62
PHGZM
PHGZT
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
DOI 10.20965/jaciii.2025.p1552
DatabaseName CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials - QC
ProQuest Central
ProQuest Technology Collection
ProQuest One Community College
ProQuest Central Korea
ProQuest Central Student
SciTech Premium Collection
ProQuest Computer Science Collection
Computer Science Database
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Proquest Central Premium
ProQuest One Academic (New)
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
DatabaseTitle CrossRef
Computer Science Database
ProQuest Central Student
Technology Collection
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Central Korea
ProQuest Central (New)
Advanced Technologies Database with Aerospace
Advanced Technologies & Aerospace Collection
ProQuest One Academic Eastern Edition
Electronics & Communications Abstracts
ProQuest Technology Collection
ProQuest SciTech Collection
Computer and Information Systems Abstracts Professional
Advanced Technologies & Aerospace Database
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
DatabaseTitleList Computer Science Database
CrossRef
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 1883-8014
EndPage 1564
ExternalDocumentID 10_20965_jaciii_2025_p1552
GroupedDBID AAYXX
AFFHD
AFKRA
ALMA_UNASSIGNED_HOLDINGS
ARAPS
ARCSS
BENPR
BGLVJ
CCPQU
CITATION
GROUPED_DOAJ
HCIFZ
ISHAI
JSI
JSP
K7-
P2P
PHGZM
PHGZT
PQGLB
RJT
RZJ
TUS
7SC
7SP
8FD
8FE
8FG
AZQEC
DWQXO
GNUQQ
JQ2
L7M
L~C
L~D
P62
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c2442-dcc34143fc77892e570f7a01516afd70a10603572ffcc9e55db6e4414e7f564d3
IEDL.DBID P5Z
ISSN 1343-0130
IngestDate Tue Dec 02 09:51:27 EST 2025
Thu Nov 27 00:20:47 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2442-dcc34143fc77892e570f7a01516afd70a10603572ffcc9e55db6e4414e7f564d3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0003-3659-0025
0000-0002-3860-7815
0000-0003-0744-4213
OpenAccessLink https://doi.org/10.20965/jaciii.2025.p1552
PQID 3272969062
PQPubID 4911628
PageCount 13
ParticipantIDs proquest_journals_3272969062
crossref_primary_10_20965_jaciii_2025_p1552
PublicationCentury 2000
PublicationDate 2025-11-20
PublicationDateYYYYMMDD 2025-11-20
PublicationDate_xml – month: 11
  year: 2025
  text: 2025-11-20
  day: 20
PublicationDecade 2020
PublicationPlace Tokyo
PublicationPlace_xml – name: Tokyo
PublicationTitle Journal of advanced computational intelligence and intelligent informatics
PublicationYear 2025
Publisher Fuji Technology Press Co. Ltd
Publisher_xml – name: Fuji Technology Press Co. Ltd
References key-10.20965/jaciii.2025.p1552-7
key-10.20965/jaciii.2025.p1552-6
key-10.20965/jaciii.2025.p1552-9
key-10.20965/jaciii.2025.p1552-8
key-10.20965/jaciii.2025.p1552-22
key-10.20965/jaciii.2025.p1552-23
key-10.20965/jaciii.2025.p1552-1
key-10.20965/jaciii.2025.p1552-20
key-10.20965/jaciii.2025.p1552-21
key-10.20965/jaciii.2025.p1552-3
key-10.20965/jaciii.2025.p1552-2
key-10.20965/jaciii.2025.p1552-5
key-10.20965/jaciii.2025.p1552-4
key-10.20965/jaciii.2025.p1552-28
key-10.20965/jaciii.2025.p1552-29
key-10.20965/jaciii.2025.p1552-26
key-10.20965/jaciii.2025.p1552-27
key-10.20965/jaciii.2025.p1552-24
key-10.20965/jaciii.2025.p1552-25
key-10.20965/jaciii.2025.p1552-11
key-10.20965/jaciii.2025.p1552-55
key-10.20965/jaciii.2025.p1552-12
key-10.20965/jaciii.2025.p1552-56
key-10.20965/jaciii.2025.p1552-53
key-10.20965/jaciii.2025.p1552-10
key-10.20965/jaciii.2025.p1552-54
key-10.20965/jaciii.2025.p1552-51
key-10.20965/jaciii.2025.p1552-52
key-10.20965/jaciii.2025.p1552-50
key-10.20965/jaciii.2025.p1552-19
key-10.20965/jaciii.2025.p1552-17
key-10.20965/jaciii.2025.p1552-18
key-10.20965/jaciii.2025.p1552-15
key-10.20965/jaciii.2025.p1552-16
key-10.20965/jaciii.2025.p1552-13
key-10.20965/jaciii.2025.p1552-14
key-10.20965/jaciii.2025.p1552-44
key-10.20965/jaciii.2025.p1552-45
key-10.20965/jaciii.2025.p1552-42
key-10.20965/jaciii.2025.p1552-43
key-10.20965/jaciii.2025.p1552-40
key-10.20965/jaciii.2025.p1552-41
key-10.20965/jaciii.2025.p1552-48
key-10.20965/jaciii.2025.p1552-49
key-10.20965/jaciii.2025.p1552-46
key-10.20965/jaciii.2025.p1552-47
key-10.20965/jaciii.2025.p1552-33
key-10.20965/jaciii.2025.p1552-34
key-10.20965/jaciii.2025.p1552-31
key-10.20965/jaciii.2025.p1552-32
key-10.20965/jaciii.2025.p1552-30
key-10.20965/jaciii.2025.p1552-39
key-10.20965/jaciii.2025.p1552-37
key-10.20965/jaciii.2025.p1552-38
key-10.20965/jaciii.2025.p1552-35
key-10.20965/jaciii.2025.p1552-36
References_xml – ident: key-10.20965/jaciii.2025.p1552-22
  doi: 10.24963/ijcai.2018/269
– ident: key-10.20965/jaciii.2025.p1552-5
  doi: 10.1609/aaai.v32i1.11491
– ident: key-10.20965/jaciii.2025.p1552-30
  doi: 10.1007/978-3-319-22849-5_15
– ident: key-10.20965/jaciii.2025.p1552-52
– ident: key-10.20965/jaciii.2025.p1552-13
  doi: 10.24963/ijcai.2021/600
– ident: key-10.20965/jaciii.2025.p1552-40
  doi: 10.1007/978-0-387-98197-0_6
– ident: key-10.20965/jaciii.2025.p1552-48
  doi: 10.3233/FAIA200511
– ident: key-10.20965/jaciii.2025.p1552-24
  doi: 10.1016/j.procs.2019.09.182
– ident: key-10.20965/jaciii.2025.p1552-23
  doi: 10.24963/kr.2020/83
– ident: key-10.20965/jaciii.2025.p1552-2
– ident: key-10.20965/jaciii.2025.p1552-20
  doi: 10.1016/j.artint.2019.06.008
– ident: key-10.20965/jaciii.2025.p1552-33
– ident: key-10.20965/jaciii.2025.p1552-27
  doi: 10.3233/FAIA200492
– ident: key-10.20965/jaciii.2025.p1552-6
– ident: key-10.20965/jaciii.2025.p1552-10
– ident: key-10.20965/jaciii.2025.p1552-49
– ident: key-10.20965/jaciii.2025.p1552-7
  doi: 10.1145/2939672.2939778
– ident: key-10.20965/jaciii.2025.p1552-16
  doi: 10.1007/978-0-387-98197-0_10
– ident: key-10.20965/jaciii.2025.p1552-28
– ident: key-10.20965/jaciii.2025.p1552-51
– ident: key-10.20965/jaciii.2025.p1552-46
  doi: 10.1609/aaai.v33i01.330110079
– ident: key-10.20965/jaciii.2025.p1552-39
  doi: 10.1016/j.eswa.2019.03.012
– ident: key-10.20965/jaciii.2025.p1552-1
  doi: 10.1145/3236386.3241340
– ident: key-10.20965/jaciii.2025.p1552-35
  doi: 10.1017/S1471068414000702
– ident: key-10.20965/jaciii.2025.p1552-14
  doi: 10.1007/978-3-031-68208-7_11
– ident: key-10.20965/jaciii.2025.p1552-45
  doi: 10.1016/j.eswa.2017.03.009
– ident: key-10.20965/jaciii.2025.p1552-25
– ident: key-10.20965/jaciii.2025.p1552-29
  doi: 10.1016/j.eswa.2018.09.038
– ident: key-10.20965/jaciii.2025.p1552-50
– ident: key-10.20965/jaciii.2025.p1552-11
  doi: 10.1016/0004-3702(94)00041-X
– ident: key-10.20965/jaciii.2025.p1552-55
  doi: 10.3233/978-1-61499-111-3-398
– ident: key-10.20965/jaciii.2025.p1552-43
  doi: 10.3233/978-1-61499-419-0-117
– ident: key-10.20965/jaciii.2025.p1552-3
  doi: 10.1017/S0269888921000011
– ident: key-10.20965/jaciii.2025.p1552-15
  doi: 10.1080/19462166.2013.869878
– ident: key-10.20965/jaciii.2025.p1552-41
  doi: 10.1016/j.artmed.2013.02.003
– ident: key-10.20965/jaciii.2025.p1552-12
– ident: key-10.20965/jaciii.2025.p1552-19
  doi: 10.1515/9780691218304
– ident: key-10.20965/jaciii.2025.p1552-8
– ident: key-10.20965/jaciii.2025.p1552-18
  doi: 10.1017/S0012217321000226
– ident: key-10.20965/jaciii.2025.p1552-42
  doi: 10.1016/j.eswa.2012.12.036
– ident: key-10.20965/jaciii.2025.p1552-36
  doi: 10.1007/978-3-030-20528-7_8
– ident: key-10.20965/jaciii.2025.p1552-53
– ident: key-10.20965/jaciii.2025.p1552-37
  doi: 10.1007/978-0-387-98197-0_4
– ident: key-10.20965/jaciii.2025.p1552-17
  doi: 10.1080/19462166.2013.869766
– ident: key-10.20965/jaciii.2025.p1552-54
  doi: 10.1093/logcom/exp032
– ident: key-10.20965/jaciii.2025.p1552-34
  doi: 10.1007/978-3-642-12805-9_12
– ident: key-10.20965/jaciii.2025.p1552-32
  doi: 10.1609/aaai.v33i01.33012752
– ident: key-10.20965/jaciii.2025.p1552-21
  doi: 10.1007/978-3-319-91122-9_18
– ident: key-10.20965/jaciii.2025.p1552-44
  doi: 10.1609/aaai.v29i1.9420
– ident: key-10.20965/jaciii.2025.p1552-26
  doi: 10.1016/j.ijar.2016.09.002
– ident: key-10.20965/jaciii.2025.p1552-38
  doi: 10.1093/logcom/ext027
– ident: key-10.20965/jaciii.2025.p1552-47
  doi: 10.3233/FAIA200179
– ident: key-10.20965/jaciii.2025.p1552-56
  doi: 10.1080/1386979032000186863
– ident: key-10.20965/jaciii.2025.p1552-4
  doi: 10.2139/ssrn.3063289
– ident: key-10.20965/jaciii.2025.p1552-9
– ident: key-10.20965/jaciii.2025.p1552-31
  doi: 10.1007/978-3-030-03098-8_21
SSID ssj0001326041
ssib051641541
Score 2.3407798
Snippet A local explanation method (LE) in explainable artificial intelligence (XAI) is basically a two-step procedure: first construct a naively explainable model...
SourceID proquest
crossref
SourceType Aggregation Database
Index Database
StartPage 1552
SubjectTerms Artificial intelligence
Explainable artificial intelligence
Title On User’s Reception of Local Explanation: An Argumentation Analysis
URI https://www.proquest.com/docview/3272969062
Volume 29
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1883-8014
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001326041
  issn: 1343-0130
  databaseCode: DOA
  dateStart: 20070101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 1883-8014
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssib051641541
  issn: 1343-0130
  databaseCode: M~E
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: Advanced Technologies & Aerospace Database
  customDbUrl:
  eissn: 1883-8014
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001326041
  issn: 1343-0130
  databaseCode: P5Z
  dateStart: 20200101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/hightechjournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Computer Science Database
  customDbUrl:
  eissn: 1883-8014
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001326041
  issn: 1343-0130
  databaseCode: K7-
  dateStart: 20200101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/compscijour
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 1883-8014
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001326041
  issn: 1343-0130
  databaseCode: BENPR
  dateStart: 20200101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NSsNAEF609eDF-ovVWvbgTdZusrvZxItUaRGUWsRC8RLiZlcUTGvTevY1fD2fxNlkQ-nFi5dACFnCzszON5OZbxA6DZ7TwBieEMYZJdxQSkJuPOJrT7JAqEhE5bAJORiE43E0dAm33JVVVmdicVCnE2Vz5B3mAwwsWHUvpx_ETo2yf1fdCI11VLcsCXZ0w1A8VfokIBQAhOAtcy6AVSgvYzBuy4gYLftofMuB0nlLlCV08AEGnE8tNdmqr1o9qgv_02_898u30ZZDnrhbqsoOWtPZLmpUUx2wM_I91LvP8AgU8-frO8eAKsuyFzwx-M76PWyr9pIyh3iBuxks-LJ4dx1McOdITvbRqN97vL4hbtgCUeDhfZIqBQ6NM6OkDCNfC0mNTAAseEFiUkkTiB0pE9I3RqlIC5E-BxqwFNfSiICn7ADVskmmDxFmIShGyrXRIQR3QRhq24AbpvAm2LxWTXRWbWs8LTk1YohFCiHEpRBiK4S4EEITtaptjZ195fFyT4_-fnyMNu1StnvQpy1Um88W-gRtqM_5az5ro_pVbzB8aBeROFxvJWkXKvQL_ZDJvw
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3NTtwwEB7BFoleSvkTC9viA5yQwWs7sYOEqlULAu2ycACJW8g6dlWkZpfdpYgbr8FL8FA8CeM4UcWlNw49RlFGSr6Z-Wac-QHYigd57JzMqJCCUekYo1q6NuW2rUQcmSRKwrIJ1e_rq6vkfAae614YX1ZZ-8TSUedD48_I9wTHMLCcqvttdEv91ij_d7VeoRHUomsf7jFlmxyc_EB8tzk_Orz4fkyrrQLUIJVxmhuDnlsKZ5TSCbeRYk5lyIrtOHO5YhkmSUxEijtnTGKjKB_EFoMGaZWLYpkLlDsLH6TQyttVV9Faf1EC0mEVXpRnPBgbMRlyPunLlgQLfTvcz1zZu8mMHyDBMezYHflRaG-58S01lHx3tPC_fanP8KmKrEknmMIizNhiCRbqrRWkcmLLcHhWkEs0vJfHpwnBqDmU9ZChIz3P68RXJWbhjHSfdAoU-PPud9WhhVfVEJcVuHyXl1mFRjEs7BoQoVHxc2md1Zi8xlpb32Csc3wSfZo1TdipYUxHYWZIirlWCXoaQE896GkJehNaNYxp5T8m6V8M1_99exPmjy9Oe2nvpN_dgI9erO-U5KwFjen4zn6BOfNn-msy_lqqKoHr90b8FTRQIWI
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=On+User%E2%80%99s+Reception+of+Local+Explanation%3A+An+Argumentation+Analysis&rft.jtitle=Journal+of+advanced+computational+intelligence+and+intelligent+informatics&rft.au=Hung%2C+Nguyen+Duy&rft.au=Theeramunkong%2C+Thanaruk&rft.au=Huynh%2C+Van-Nam&rft.date=2025-11-20&rft.issn=1343-0130&rft.eissn=1883-8014&rft.volume=29&rft.issue=6&rft.spage=1552&rft.epage=1564&rft_id=info:doi/10.20965%2Fjaciii.2025.p1552&rft.externalDBID=n%2Fa&rft.externalDocID=10_20965_jaciii_2025_p1552
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1343-0130&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1343-0130&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1343-0130&client=summon