Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability

Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of science and practice. Despite the rapid development of the field, the existing potential of AI methods to solve recent industrial, corporate...

Full description

Saved in:
Bibliographic Details
Published inMultimodal technologies and interaction Vol. 7; no. 3; p. 27
Main Authors Wiemer, Hajo, Schneider, Dorothea, Lang, Valentin, Conrad, Felix, Mälzer, Mauritz, Boos, Eugen, Feldhoff, Kim, Drowatzky, Lucas, Ihlenfeldt, Steffen
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2023
Subjects
Algorithms
Analysis
applicable AI
Artificial intelligence
Automation
Collaboration
Communication
Computer engineering
Computer science
cyber–physical production systems
Data analysis
Data collection
Data processing
Data science
domain-specific AI
explainable AI
Interdisciplinary subjects
Knowledge
Middleware
Scientists
Sociology
Software
Subject specialists
Task complexity
Usability
usable AI
Germany
Online AccessGet full text
ISSN2414-4088
2414-4088
DOI10.3390/mti7030027

Cover

Abstract Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of science and practice. Despite the rapid development of the field, the existing potential of AI methods to solve recent industrial, corporate and social challenges has not yet been fully exploited. Research shows the insufficient practicality of AI in domain-specific contexts as one of the main application hurdles. Focusing on industrial demands, this publication introduces a new paradigm in terms of applicability of AI methods, called Usable AI (UAI). Aspects of easily accessible, domain-specific AI methods are derived, which address essential user-oriented AI services within the UAI paradigm: usability, suitability, integrability and interoperability. The relevance of UAI is clarified by describing challenges, hurdles and peculiarities of AI applications in the production area, whereby the following user roles have been abstracted: developers of cyber–physical production systems (CPPS), developers of processes and operators of processes. The analysis shows that target artifacts, motivation, knowledge horizon and challenges differ for the user roles. Therefore, UAI shall enable domain- and user-role-specific adaptation of affordances accompanied by adaptive support of vertical and horizontal integration across the domains and user roles.
AbstractList Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of science and practice. Despite the rapid development of the field, the existing potential of AI methods to solve recent industrial, corporate and social challenges has not yet been fully exploited. Research shows the insufficient practicality of AI in domain-specific contexts as one of the main application hurdles. Focusing on industrial demands, this publication introduces a new paradigm in terms of applicability of AI methods, called Usable AI (UAI). Aspects of easily accessible, domain-specific AI methods are derived, which address essential user-oriented AI services within the UAI paradigm: usability, suitability, integrability and interoperability. The relevance of UAI is clarified by describing challenges, hurdles and peculiarities of AI applications in the production area, whereby the following user roles have been abstracted: developers of cyber–physical production systems (CPPS), developers of processes and operators of processes. The analysis shows that target artifacts, motivation, knowledge horizon and challenges differ for the user roles. Therefore, UAI shall enable domain- and user-role-specific adaptation of affordances accompanied by adaptive support of vertical and horizontal integration across the domains and user roles.
Audience Academic
Author Conrad, Felix
Mälzer, Mauritz
Lang, Valentin
Feldhoff, Kim
Ihlenfeldt, Steffen
Wiemer, Hajo
Boos, Eugen
Schneider, Dorothea
Drowatzky, Lucas
Author_xml – sequence: 1
  givenname: Hajo
  surname: Wiemer
  fullname: Wiemer, Hajo
– sequence: 2
  givenname: Dorothea
  surname: Schneider
  fullname: Schneider, Dorothea
– sequence: 3
  givenname: Valentin
  orcidid: 0000-0002-9411-461X
  surname: Lang
  fullname: Lang, Valentin
– sequence: 4
  givenname: Felix
  orcidid: 0000-0002-9998-1907
  surname: Conrad
  fullname: Conrad, Felix
– sequence: 5
  givenname: Mauritz
  surname: Mälzer
  fullname: Mälzer, Mauritz
– sequence: 6
  givenname: Eugen
  orcidid: 0000-0002-6593-4678
  surname: Boos
  fullname: Boos, Eugen
– sequence: 7
  givenname: Kim
  surname: Feldhoff
  fullname: Feldhoff, Kim
– sequence: 8
  givenname: Lucas
  orcidid: 0000-0003-1479-9311
  surname: Drowatzky
  fullname: Drowatzky, Lucas
– sequence: 9
  givenname: Steffen
  surname: Ihlenfeldt
  fullname: Ihlenfeldt, Steffen
BookMark eNp9kd-K1DAUxous4LrujU9Q8E7pmqbpJLksq66FRQWd63KSnowZ0qSmGWTufAff0CfZzFZURCQXJzn8vi_nz-PizAePRfG0JldNI8nLKVlOGkIof1CcU1azihEhzv64Pyoul2VPMlIzwok4L6Z3iGNpQiy3Xf_j2_fOQwrTsQymTJ-x_AARRrubTu_tAsph2cVkjdUWXNn7hM7ZHXqN9x6vwgTWVx9n1Cem7Pqym2dnNSjrbDo-KR4acAte_owXxfbN60_Xb6vb9zf9dXdbaUZIqnSruBGCoAIBwBpEIpgySgrFoDWKts2GolYCuW4bTRVrNZdy5FIDbaBtLop-9R0D7Ic52gnicQhgh_tEiLsBchva4UC1lJwoIlFwhpIBUczguFFSEi5blr1erF4HP8PxKzj3y7Amw2nww-_BZ_rZSs8xfDngkoZ9OESfmx0ol_WGN4KJTF2t1A5yCdabkCLofEacrM5bNTbnO95SyiTd0Cx4vgp0DMsS0fy_BvIXrG2CZIPPv1j3L8kdynCyeQ
CitedBy_id crossref_primary_10_1016_j_procs_2024_01_017
crossref_primary_10_1016_j_commatsci_2024_113432
crossref_primary_10_1016_j_procs_2025_01_264
crossref_primary_10_1016_j_procir_2024_01_012
crossref_primary_10_1016_j_procs_2024_01_085
Cites_doi 10.3390/su12020492
10.1109/CESSER-IP.2019.00009
10.1016/j.commatsci.2006.04.013
10.1016/S0004-3702(83)80014-9
10.1016/j.compstruc.2022.106774
10.1016/S0266-3538(03)00106-4
10.1080/00207594.2012.680460
10.1287/isre.2021.1079
10.1007/s10845-020-01553-6
10.1007/s10845-021-01773-4
10.1007/s10845-012-0682-1
10.18208/ksdc.2020.27.1.197
10.1038/s41524-019-0221-0
10.1002/aic.16489
10.1016/j.jmsy.2021.07.007
10.52825/bis.v1i.56
10.3390/app12178700
10.1109/INDIN.2016.7819367
10.1016/j.procir.2022.05.266
10.22306/al.v6i1.112
10.1017/S0890060404040028
10.1109/ICPS48405.2020.9274755
10.1016/j.commatsci.2018.12.056
10.1109/ETFA45728.2021.9613406
10.1080/00207543.2020.1788738
10.1016/j.inffus.2019.12.012
10.3390/app11209590
10.2753/MIS0742-1222270311
10.1145/3290605.3300493
10.1007/978-3-319-59424-8_16
10.1109/ACCESS.2017.2756069
10.1002/adma.201702884
10.1145/3383668.3419905
10.1088/1757-899X/448/1/012013
10.1016/j.procir.2016.04.095
10.1109/ACCESS.2018.2870052
10.1016/j.engappai.2006.07.002
10.1007/s12599-020-00642-3
10.1016/j.procir.2019.02.106
10.1080/00207543.2019.1566661
10.1038/srep34256
10.1080/00207543.2019.1630775
10.1109/WMED.2018.8360836
10.3390/info12040140
10.1007/s11747-017-0523-z
10.3390/s22134865
10.1007/978-3-030-30604-5_6
10.1145/3173574.3174156
10.1007/978-3-319-19027-3_2
10.1109/COASE.2018.8560430
10.1016/j.compind.2020.103389
10.1109/ETFA.2015.7301606
10.1145/3277593.3277608
10.1007/s10462-020-09942-2
10.1111/exsy.12130
10.1145/3328485
10.1007/s11370-020-00326-7
10.1016/j.inffus.2021.11.017
10.24251/HICSS.2017.509
10.1016/j.promfg.2020.01.034
10.1108/13673270610650067
10.1016/j.cirp.2021.04.084
10.1039/C9SC03766G
10.1016/0950-7051(96)81920-4
10.1007/s10479-021-03935-2
10.4028/www.scientific.net/MSF.870.717
10.1002/inf2.12028
10.1016/j.rcim.2020.101956
10.3390/s18051428
10.1016/B978-0-08-052029-2.50007-3
10.1038/s41598-022-23327-1
10.1080/00207543.2020.1836417
10.1038/s41570-019-0124-0
10.3390/met9101025
ContentType Journal Article
Copyright COPYRIGHT 2023 MDPI AG
2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2023 MDPI AG
– notice: 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
8FE
8FG
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
HCIFZ
P5Z
P62
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
ADTOC
UNPAY
DOA
DOI 10.3390/mti7030027
DatabaseName CrossRef
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni Edition)
ProQuest Central UK/Ireland
Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Central
Technology Collection
ProQuest One Community College
ProQuest Central Korea
SciTech Premium Collection
ProQuest advanced technologies & aerospace journals
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Unpaywall for CDI: Periodical Content
Unpaywall
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Advanced Technologies & Aerospace Collection
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Central China
ProQuest Central
Advanced Technologies & Aerospace Database
ProQuest One Applied & Life Sciences
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
DatabaseTitleList Publicly Available Content Database

CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
– sequence: 3
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 2414-4088
ExternalDocumentID oai_doaj_org_article_2c9970b09e874e94a0b4fed6b9907954
10.3390/mti7030027
A752249262
10_3390_mti7030027
GeographicLocations Germany
GeographicLocations_xml – name: Germany
GroupedDBID 8FE
8FG
AADQD
AAFWJ
AAYXX
ADBBV
AFKRA
AFPKN
AFZYC
ALMA_UNASSIGNED_HOLDINGS
ARAPS
BCNDV
BENPR
BGLVJ
CCPQU
CITATION
GROUPED_DOAJ
HCIFZ
IAO
ITC
MODMG
M~E
OK1
P62
PHGZM
PHGZT
PIMPY
PQGLB
PROAC
PUEGO
PMFND
ABUWG
AZQEC
DWQXO
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ADTOC
UNPAY
ID FETCH-LOGICAL-c400t-c5b7f880eba8aa43ee084bfb98b4a5fb25362ecb8e7c53c2b45c799d79ca23a53
IEDL.DBID UNPAY
ISSN 2414-4088
IngestDate Wed Aug 27 01:25:25 EDT 2025
Wed Oct 01 16:53:40 EDT 2025
Fri Jul 25 03:07:59 EDT 2025
Tue Jun 10 20:25:22 EDT 2025
Wed Oct 01 05:02:22 EDT 2025
Thu Apr 24 22:52:08 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
License https://creativecommons.org/licenses/by/4.0
cc-by
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c400t-c5b7f880eba8aa43ee084bfb98b4a5fb25362ecb8e7c53c2b45c799d79ca23a53
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-9411-461X
0000-0002-6593-4678
0000-0002-9998-1907
0000-0003-1479-9311
OpenAccessLink https://proxy.k.utb.cz/login?url=https://www.mdpi.com/2414-4088/7/3/27/pdf?version=1677587689
PQID 2791673848
PQPubID 2059548
ParticipantIDs doaj_primary_oai_doaj_org_article_2c9970b09e874e94a0b4fed6b9907954
unpaywall_primary_10_3390_mti7030027
proquest_journals_2791673848
gale_infotracacademiconefile_A752249262
crossref_primary_10_3390_mti7030027
crossref_citationtrail_10_3390_mti7030027
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-03-01
PublicationDateYYYYMMDD 2023-03-01
PublicationDate_xml – month: 03
  year: 2023
  text: 2023-03-01
  day: 01
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Multimodal technologies and interaction
PublicationYear 2023
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References ref_94
Dieber (ref_6) 2022; 81
Payne (ref_47) 2017; 45
ref_90
ref_13
ref_12
ref_11
ref_10
Fuchs (ref_104) 2022; 265
ref_95
Wei (ref_98) 2019; 1
ref_19
ref_18
ref_15
Schmidt (ref_101) 2019; 5
Tao (ref_97) 2017; 5
Brecher (ref_75) 2021; 70
Zschech (ref_112) 2020; 62
ref_24
ref_21
Tarafdar (ref_4) 2010; 27
ref_29
Andrews (ref_34) 1995; 8
ref_28
ref_71
ref_70
Zhang (ref_109) 2003; 63
Arrieta (ref_17) 2020; 58
ref_77
ref_76
ref_74
Amirkolaii (ref_92) 2017; 50
Praveen (ref_93) 2019; 38
Ding (ref_72) 2019; 57
Simpson (ref_96) 2004; 18
ref_82
Park (ref_83) 2021; 59
Salanova (ref_3) 2013; 48
ref_89
ref_88
Kliment (ref_45) 2019; 6
Jameson (ref_37) 2009; 30
Liu (ref_53) 2020; 64
Schneider (ref_14) 2021; 1
Grahl (ref_23) 2022; 33
Guo (ref_106) 2019; 160
ref_50
Xiong (ref_108) 2014; 25
Chennamaneni (ref_26) 2011; 1
ref_58
ref_57
Song (ref_43) 2021; 27
Ghobakhloo (ref_73) 2020; 58
Swartout (ref_32) 1983; 21
ref_52
Qiao (ref_79) 2021; 59
ref_51
Gama (ref_44) 2021; 54
ref_59
Czarnowski (ref_55) 2018; Volume 73
ref_61
Uraikul (ref_49) 2007; 20
ref_60
Nagy (ref_80) 2018; 448
ref_69
Foos (ref_27) 2006; 10
ref_68
Preil (ref_91) 2022; 308
ref_67
Bhad (ref_87) 2021; 10
ref_66
ref_65
ref_64
Venkatasubramanian (ref_54) 2019; 65
ref_63
ref_62
Moreira (ref_103) 2019; 3
Yuan (ref_100) 2018; 30
Aranburu (ref_86) 2022; 109
Bunt (ref_42) 2010; 30
Rautenbach (ref_56) 2022; 32
Stein (ref_102) 2019; 10
Li (ref_20) 2021; 60
Schuhmacher (ref_81) 2016; 54
Song (ref_25) 2016; 33
ref_36
ref_35
ref_33
Chen (ref_99) 2016; 6
ref_31
ref_30
Su (ref_107) 2007; 38
ref_39
Conrad (ref_111) 2022; 12
Fayyad (ref_22) 1996; 17
Jasinski (ref_84) 2021; 125
ref_105
Yin (ref_85) 2020; 31
Adadi (ref_16) 2018; 6
ref_40
Lau (ref_41) 2009; 30
ref_1
Park (ref_78) 2022; 33
ref_2
Xu (ref_38) 2019; 26
Stolbov (ref_110) 2016; 870
Ozkaya (ref_46) 2020; 37
ref_48
ref_9
ref_8
ref_5
ref_7
References_xml – volume: 30
  start-page: 11
  year: 2009
  ident: ref_37
  article-title: Introduction to the Special Issue on “Usable AI”
  publication-title: AI Mag.
– ident: ref_74
– ident: ref_9
  doi: 10.3390/su12020492
– ident: ref_68
– ident: ref_24
  doi: 10.1109/CESSER-IP.2019.00009
– volume: 38
  start-page: 697
  year: 2007
  ident: ref_107
  article-title: Aging Process Optimization for a Copper Alloy Considering Hardness and Electrical Conductivity
  publication-title: Comput. Mater. Sci.
  doi: 10.1016/j.commatsci.2006.04.013
– ident: ref_65
– ident: ref_39
– ident: ref_88
– volume: 32
  start-page: 83
  year: 2022
  ident: ref_56
  article-title: Data Science for Small and Medium-Sized Enterprises: A Structured Literature Review
  publication-title: S. Afr. J. Ind. Eng.
– ident: ref_1
– volume: 21
  start-page: 285
  year: 1983
  ident: ref_32
  article-title: XPLAIN: A System for Creating and Explaining Expert Consulting Programs
  publication-title: Artif. Intell.
  doi: 10.1016/S0004-3702(83)80014-9
– volume: 265
  start-page: 106774
  year: 2022
  ident: ref_104
  article-title: A Novel Self-Adversarial Training Scheme for Enhanced Robustness of Inelastic Constitutive Descriptions by Neural Networks
  publication-title: Comput. Struct.
  doi: 10.1016/j.compstruc.2022.106774
– volume: 63
  start-page: 2029
  year: 2003
  ident: ref_109
  article-title: Artificial Neural Networks Applied to Polymer Composites: A Review
  publication-title: Compos. Sci. Technol.
  doi: 10.1016/S0266-3538(03)00106-4
– volume: 48
  start-page: 422
  year: 2013
  ident: ref_3
  article-title: The Dark Side of Technologies: Technostress among Users of Information and Communication Technologies
  publication-title: Int. J. Psychol.
  doi: 10.1080/00207594.2012.680460
– volume: 33
  start-page: 678
  year: 2022
  ident: ref_23
  article-title: Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation
  publication-title: Inf. Syst. Res.
  doi: 10.1287/isre.2021.1079
– volume: 31
  start-page: 2069
  year: 2020
  ident: ref_85
  article-title: Real-Time Task Processing for Spinning Cyber-Physical Production Systems Based on Edge Computing
  publication-title: J. Intell. Manuf.
  doi: 10.1007/s10845-020-01553-6
– volume: 33
  start-page: 1843
  year: 2022
  ident: ref_78
  article-title: Machine Learning-Based Optimization of Process Parameters in Selective Laser Melting for Biomedical Applications
  publication-title: J. Intell. Manuf.
  doi: 10.1007/s10845-021-01773-4
– ident: ref_31
– volume: 25
  start-page: 157
  year: 2014
  ident: ref_108
  article-title: Bead Geometry Prediction for Robotic GMAW-Based Rapid Manufacturing through a Neural Network and a Second-Order Regression Analysis
  publication-title: J. Intell. Manuf.
  doi: 10.1007/s10845-012-0682-1
– volume: 27
  start-page: 197
  year: 2021
  ident: ref_43
  article-title: A Study on the Usability of AI-Based Naver App Search Service
  publication-title: J. Korean Soc. Des. Cult.
  doi: 10.18208/ksdc.2020.27.1.197
– ident: ref_48
– ident: ref_10
– volume: 5
  start-page: 83
  year: 2019
  ident: ref_101
  article-title: Recent Advances and Applications of Machine Learning in Solid-State Materials Science
  publication-title: Npj Comput. Mater.
  doi: 10.1038/s41524-019-0221-0
– ident: ref_13
– volume: 65
  start-page: 466
  year: 2019
  ident: ref_54
  article-title: The Promise of Artificial Intelligence in Chemical Engineering: Is It Here, Finally?
  publication-title: AIChE J.
  doi: 10.1002/aic.16489
– ident: ref_62
– volume: 60
  start-page: 692
  year: 2021
  ident: ref_20
  article-title: Data Science Skills and Domain Knowledge Requirements in the Manufacturing Industry: A Gap Analysis
  publication-title: J. Manuf. Syst.
  doi: 10.1016/j.jmsy.2021.07.007
– volume: 1
  start-page: 49
  year: 2021
  ident: ref_14
  article-title: Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects
  publication-title: Bus. Inf. Syst.
  doi: 10.52825/bis.v1i.56
– ident: ref_59
– ident: ref_7
  doi: 10.3390/app12178700
– ident: ref_28
– ident: ref_58
  doi: 10.1109/INDIN.2016.7819367
– ident: ref_30
– volume: 109
  start-page: 383
  year: 2022
  ident: ref_86
  article-title: Geometric Variability in Parametric 3D Models: Implications for Engineering Design
  publication-title: Procedia CIRP
  doi: 10.1016/j.procir.2022.05.266
– volume: 6
  start-page: 9
  year: 2019
  ident: ref_45
  article-title: Digitalization Effects on the Usability of Lean Tools 6: 9–13
  publication-title: Acta Logist.
  doi: 10.22306/al.v6i1.112
– volume: 18
  start-page: 3
  year: 2004
  ident: ref_96
  article-title: Product Platform Design and Customization: Status and Promise
  publication-title: Artif. Intell. Eng. Des. Anal. Manuf.
  doi: 10.1017/S0890060404040028
– ident: ref_76
  doi: 10.1109/ICPS48405.2020.9274755
– volume: 50
  start-page: 15221
  year: 2017
  ident: ref_92
  article-title: Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains by Using Artificial Intelligence (AI)
  publication-title: IFAC-Pap.
– ident: ref_67
– volume: 160
  start-page: 95
  year: 2019
  ident: ref_106
  article-title: A Predicting Model for Properties of Steel Using the Industrial Big Data Based on Machine Learning
  publication-title: Comput. Mater. Sci.
  doi: 10.1016/j.commatsci.2018.12.056
– volume: 17
  start-page: 37
  year: 1996
  ident: ref_22
  article-title: From Data Mining to Knowledge Discovery in Databases
  publication-title: AI Mag.
– ident: ref_18
  doi: 10.1109/ETFA45728.2021.9613406
– volume: 59
  start-page: 5721
  year: 2021
  ident: ref_83
  article-title: The Architectural Framework of a Cyber Physical Logistics System for Digital-Twin-Based Supply Chain Control
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207543.2020.1788738
– volume: 58
  start-page: 82
  year: 2020
  ident: ref_17
  article-title: Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
  publication-title: Inf. Fusion
  doi: 10.1016/j.inffus.2019.12.012
– ident: ref_21
  doi: 10.3390/app11209590
– volume: 27
  start-page: 303
  year: 2010
  ident: ref_4
  article-title: Impact of Technostress on End-User Satisfaction and Performance
  publication-title: J. Manag. Inf. Syst.
  doi: 10.2753/MIS0742-1222270311
– ident: ref_12
  doi: 10.1145/3290605.3300493
– volume: Volume 73
  start-page: 169
  year: 2018
  ident: ref_55
  article-title: A Data Analytics Framework for Business in Small and Medium-Sized Organizations
  publication-title: Intelligent Decision Technologies 2017
  doi: 10.1007/978-3-319-59424-8_16
– ident: ref_33
– volume: 5
  start-page: 20418
  year: 2017
  ident: ref_97
  article-title: Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2017.2756069
– ident: ref_64
– ident: ref_36
– volume: 30
  start-page: 65
  year: 2009
  ident: ref_41
  article-title: Why Programming-By-Demonstration Systems Fail: Lessons Learned for Usable AI
  publication-title: AI Mag.
– ident: ref_70
– volume: 30
  start-page: 1702884
  year: 2018
  ident: ref_100
  article-title: Accelerated Discovery of Large Electrostrains in BaTiO3-Based Piezoelectrics Using Active Learning
  publication-title: Adv. Mater.
  doi: 10.1002/adma.201702884
– ident: ref_40
  doi: 10.1145/3383668.3419905
– volume: 448
  start-page: 012013
  year: 2018
  ident: ref_80
  article-title: Impact of Industry 4.0 on Production Logistics
  publication-title: IOP Conf. Ser. Mater. Sci. Eng.
  doi: 10.1088/1757-899X/448/1/012013
– volume: 54
  start-page: 19
  year: 2016
  ident: ref_81
  article-title: Decentralized Control of Logistic Processes in Cyber-Physical Production Systems at the Example of ESB Logistics Learning Factory
  publication-title: Procedia CIRP
  doi: 10.1016/j.procir.2016.04.095
– volume: 6
  start-page: 52138
  year: 2018
  ident: ref_16
  article-title: Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2870052
– volume: 20
  start-page: 115
  year: 2007
  ident: ref_49
  article-title: Artificial Intelligence for Monitoring and Supervisory Control of Process Systems
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2006.07.002
– ident: ref_5
– volume: 62
  start-page: 227
  year: 2020
  ident: ref_112
  article-title: Intelligent User Assistance for Automated Data Mining Method Selection
  publication-title: Bus. Inf. Syst. Eng.
  doi: 10.1007/s12599-020-00642-3
– ident: ref_11
  doi: 10.1016/j.procir.2019.02.106
– volume: 57
  start-page: 6315
  year: 2019
  ident: ref_72
  article-title: Defining a Digital Twin-Based Cyber-Physical Production System for Autonomous Manufacturing in Smart Shop Floors
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207543.2019.1566661
– volume: 6
  start-page: 34256
  year: 2016
  ident: ref_99
  article-title: A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-Nary Inorganic Polycrystalline Compounds
  publication-title: Sci. Rep.
  doi: 10.1038/srep34256
– volume: 58
  start-page: 2384
  year: 2020
  ident: ref_73
  article-title: Determinants of Information and Digital Technology Implementation for Smart Manufacturing
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207543.2019.1630775
– ident: ref_50
  doi: 10.1109/WMED.2018.8360836
– ident: ref_90
– ident: ref_19
  doi: 10.3390/info12040140
– volume: 45
  start-page: 467
  year: 2017
  ident: ref_47
  article-title: The Customer Value Proposition: Evolution, Development, and Application in Marketing
  publication-title: J. Acad. Mark. Sci.
  doi: 10.1007/s11747-017-0523-z
– ident: ref_8
  doi: 10.3390/s22134865
– ident: ref_61
– ident: ref_95
  doi: 10.1007/978-3-030-30604-5_6
– ident: ref_35
  doi: 10.1145/3173574.3174156
– ident: ref_57
  doi: 10.1007/978-3-319-19027-3_2
– ident: ref_52
  doi: 10.1109/COASE.2018.8560430
– volume: 125
  start-page: 103389
  year: 2021
  ident: ref_84
  article-title: Vertical Data Continuity with Lean Edge Analytics for Industry 4.0 Production
  publication-title: Comput. Ind.
  doi: 10.1016/j.compind.2020.103389
– ident: ref_69
– ident: ref_66
– ident: ref_71
  doi: 10.1109/ETFA.2015.7301606
– ident: ref_51
  doi: 10.1145/3277593.3277608
– volume: 54
  start-page: 3849
  year: 2021
  ident: ref_44
  article-title: Artificial Intelligence, Cyber-Threats and Industry 4.0: Challenges and Opportunities
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-020-09942-2
– volume: 33
  start-page: 364
  year: 2016
  ident: ref_25
  article-title: Big Data and Data Science: What Should We Teach?
  publication-title: Expert Syst.
  doi: 10.1111/exsy.12130
– volume: 26
  start-page: 42
  year: 2019
  ident: ref_38
  article-title: Toward Human-Centered AI: A Perspective from Human-Computer Interaction
  publication-title: Interactions
  doi: 10.1145/3328485
– ident: ref_94
  doi: 10.1007/s11370-020-00326-7
– volume: 81
  start-page: 143
  year: 2022
  ident: ref_6
  article-title: A Novel Model Usability Evaluation Framework (MUsE) for Explainable Artificial Intelligence
  publication-title: Inf. Fusion
  doi: 10.1016/j.inffus.2021.11.017
– ident: ref_82
  doi: 10.24251/HICSS.2017.509
– volume: 38
  start-page: 256
  year: 2019
  ident: ref_93
  article-title: Inventory Management and Cost Reduction of Supply Chain Processes Using AI Based Time-Series Forecasting and ANN Modeling
  publication-title: Procedia Manuf.
  doi: 10.1016/j.promfg.2020.01.034
– volume: 10
  start-page: 6
  year: 2006
  ident: ref_27
  article-title: Tacit Knowledge Transfer and the Knowledge Disconnect
  publication-title: J. Knowl. Manag.
  doi: 10.1108/13673270610650067
– volume: 70
  start-page: 333
  year: 2021
  ident: ref_75
  article-title: Direct Measurement of Thermo-Elastic Errors of a Machine Tool
  publication-title: CIRP Ann.
  doi: 10.1016/j.cirp.2021.04.084
– volume: 10
  start-page: 9640
  year: 2019
  ident: ref_102
  article-title: Progress and Prospects for Accelerating Materials Science with Automated and Autonomous Workflows
  publication-title: Chem. Sci.
  doi: 10.1039/C9SC03766G
– ident: ref_63
– volume: 8
  start-page: 373
  year: 1995
  ident: ref_34
  article-title: Survey and Critique of Techniques for Extracting Rules from Trained Artificial Neural Networks
  publication-title: Knowl.-Based Syst.
  doi: 10.1016/0950-7051(96)81920-4
– volume: 1
  start-page: 277
  year: 2011
  ident: ref_26
  article-title: An Integrated Framework for Effective Tacit Knowledge Transfer
  publication-title: AMCIS Proc.
– volume: 308
  start-page: 415
  year: 2022
  ident: ref_91
  article-title: Artificial Intelligence-Based Inventory Management: A Monte Carlo Tree Search Approach
  publication-title: Ann. Oper. Res.
  doi: 10.1007/s10479-021-03935-2
– volume: 870
  start-page: 717
  year: 2016
  ident: ref_110
  article-title: Application of Intelligent Technology in Functional Materials Quality Control
  publication-title: Mater. Sci. Forum
  doi: 10.4028/www.scientific.net/MSF.870.717
– volume: 1
  start-page: 338
  year: 2019
  ident: ref_98
  article-title: Machine Learning in Materials Science
  publication-title: InfoMat
  doi: 10.1002/inf2.12028
– volume: 64
  start-page: 101956
  year: 2020
  ident: ref_53
  article-title: Web-Based Digital Twin Modeling and Remote Control of Cyber-Physical Production Systems
  publication-title: Robot. Comput.-Integr. Manuf.
  doi: 10.1016/j.rcim.2020.101956
– ident: ref_89
  doi: 10.3390/s18051428
– ident: ref_2
– volume: 30
  start-page: 58
  year: 2010
  ident: ref_42
  article-title: Mixed-Initiative Interface Personalization as a Case Study in Usable AI
  publication-title: AI Mag.
– volume: 37
  start-page: 3
  year: 2020
  ident: ref_46
  article-title: What Is Really Different in Engineering AI-Enabled Systems?
  publication-title: IEEE Softw.
– ident: ref_29
  doi: 10.1016/B978-0-08-052029-2.50007-3
– ident: ref_15
– volume: 10
  start-page: 110
  year: 2021
  ident: ref_87
  article-title: Integrated Approach for an Artificial Intelligence-Based Generative Product Design
  publication-title: Int. J. Des. Eng.
– volume: 12
  start-page: 19350
  year: 2022
  ident: ref_111
  article-title: Benchmarking AutoML for Regression Tasks on Small Tabular Data in Materials Design
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-23327-1
– volume: 59
  start-page: 7139
  year: 2021
  ident: ref_79
  article-title: Industrial Big-Data-Driven and CPS-Based Adaptive Production Scheduling for Smart Manufacturing
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207543.2020.1836417
– ident: ref_60
– ident: ref_105
– volume: 3
  start-page: 589
  year: 2019
  ident: ref_103
  article-title: Synthetic Organic Chemistry Driven by Artificial Intelligence
  publication-title: Nat. Rev. Chem.
  doi: 10.1038/s41570-019-0124-0
– ident: ref_77
  doi: 10.3390/met9101025
SSID ssj0002140708
Score 2.3092244
Snippet Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of...
SourceID doaj
unpaywall
proquest
gale
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
StartPage 27
SubjectTerms Algorithms
Analysis
applicable AI
Artificial intelligence
Automation
Collaboration
Communication
Computer engineering
Computer science
cyber–physical production systems
Data analysis
Data collection
Data processing
Data science
domain-specific AI
explainable AI
Interdisciplinary subjects
Knowledge
Middleware
Scientists
Sociology
Software
Subject specialists
Task complexity
Usability
usable AI
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NatwwEB5KLm0P_S91mxRBAqUHE68sWdLRSRqygYYeupCbkGSpLKy9IdlQ9tZ36BvmSTKSvVtDS3vp0WYsxpoZzXxI-gbggPGykZyqvJlQBChKVrkJDc195SeesVCGJl5w_nxRnc3Y-SW_HLX6imfCenrgfuIOqVNKFLZQXgrmFTOFZcE3lcVlVCiemEAxjY3AVFyDKeIGUciej7REXH_YrubRuYvYPmaUgRJR_-_L8WN4eNtdmfV3s1iM8s3pM3gyFIqk7hV8Dg989wKebpowkCEmX0J7gfmHYOlJZvX07sfPukMY3a7JMhCs7cgXc22a-bc2Ps9u4j2pNGTPG0GmI0LONMbJsjXzLk9d6VGG1FNS91vc6RDt-hXMTj99PT7Lhx4KucPoXOWOWxEwRr010hhWel9IZoNV0jLDg6UcM5h3VnrheOmoZdwJpRqhnKGl4eVr2OmWnX8DRAicd0RPNmDZhV9JNqHOqcggZouq8Bl83MyrdgPBeOxzsdAINKIN9C8bZLC_lb3qaTX-KHUUzbOViFTY6QU6iB4cRP_LQTL4EI2rY8CiOs4M9w7wpyL1la4FlqCJNjGD3Y399RDJN5oKLKBFKZnM4GDrE39R-u3_UPodPIp97fvDbruws7q-9XtY_azs--To97hfAd8
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ProQuest Technology Collection
  dbid: 8FG
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3NjtMwELZgOQAH_hGBBVliJcQh2tSxY_uEwk_ZIrHiQKW9WbZjryo1SWm7WvW278Ab8iSMHbdbCbTHRI41ycx4ZhzP9yF0RFnZCEZk3owIFChSVLn2Dcld5UaOUl_6JjQ4fz-tTqb02xk7Sxtuq3SscrsmxoW66W3YIz8mHBIZXgoqPix-5YE1KvxdTRQat9GdEQFLCp3i46-7PRYC1QMvxIBKWkJ1f9yuZ8HEi0AisxeHIlz_v4vyfXT3olvozaWez_eizvgRepDSRVwP-n2MbrnuCXq4pWLAyTOfovYUohCGBBRP68mfq991B8V0u8G9x5Dh4R96qZvZeRuup6vQLRWnHNAj8GQPljPO8blv9azLIzc9jMH1BNfDj-54lHbzDE3HX35-OskTk0JuwUfXuWWGe_BUZ7TQmpbOFYIab6QwVDNvCIM45qwRjltWWmIos1zKhkurSalZ-RwddH3nXiDMuXcN1FDGQ_IFTwk6ItbKgCNmiqpwGXq__a7KJpjxwHYxV1BuBB2oax1k6O1u7GIA1_jvqI9BPbsRARA73uiX5yr5lyJWSg4SSCc4dZLqwlAQtDIQbblkNEPvgnJVcFsQx-rUfQAvFQCwVM0hEY3giRk63OpfJX9eqWvry9DRziZuEPrlzbO8QvcCb_1wmO0QHayXF-41ZDdr8yaa8F8Qrvnb
  priority: 102
  providerName: ProQuest
Title Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability
URI https://www.proquest.com/docview/2791673848
https://www.mdpi.com/2414-4088/7/3/27/pdf?version=1677587689
https://doaj.org/article/2c9970b09e874e94a0b4fed6b9907954
UnpaywallVersion publishedVersion
Volume 7
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2414-4088
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0002140708
  issn: 2414-4088
  databaseCode: DOA
  dateStart: 20170101
  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: 2414-4088
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0002140708
  issn: 2414-4088
  databaseCode: M~E
  dateStart: 20160101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 2414-4088
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0002140708
  issn: 2414-4088
  databaseCode: BENPR
  dateStart: 20170301
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Technology Collection
  customDbUrl:
  eissn: 2414-4088
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0002140708
  issn: 2414-4088
  databaseCode: 8FG
  dateStart: 20170301
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/technologycollection1
  providerName: ProQuest
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1di9NAFL3stg_qg-vXYnQtAy6ID9mmySQzA4JkdetWsBSxsD5ImJlMlmKTlm6q1Cf_g__QX-KdfNSiIuJjwk24Ye7ce05m5lyAYxoGKQ994aYDHwmK4JErs9R3TWQGhtIsyFJ7wPnNODqf0tcX4cUePGvPwthtlUjFZ1WSxupCkeAgR2P9oI8kfZlmzz81_5EGEUOsi2hZ7EM3sstLHehOx5P4ve0n1z5ZK5IGyOz7eTmz4e3ZBjI7NaiS6v89Id-Aa-tiKTef5Xy-U3GGB_Ch9bXeaPLxZF2qE_3lFxnH__2YW3CzgaIkrmPnNuyZ4g4ctG0eSDPr70I-xgpHENySaTz6_vVbXCBRzzdkkRFEj2QiVzKdXeb2enplT2JVr6yVKchoR_KzesfLRS5nhVv1vUcbEo9IXC-iV9t0N_dgOjx79-Lcbbo0uBrnf-nqULEMs4BRkktJA2M8TlWmBFdUhpnyQ6yRRitumA4D7SsaaiZEyoSWfiDD4BA6xaIw94EwlpkU-ZnKENjhU5wOfK2F1ShTXuQZB56245boRsLcdtKYJ0hl7BgnP8fYgcdb22Ut3PFHq1M7_FsLK7Zd3VisLpNm7ia-FoKhB8JwRo2g0lMUHY0UVnImQurAExs8iU0J6I6WzckG_CgrrpXEDEFuJczowFEbX0mTK64SnyFEZwGn3IHjbcz9xekH_2b2EK77iMjqDXNH0ClXa_MIEVSperDPh6960D09G0_e9qr_EL1m8vwA-a0aCw
linkProvider Unpaywall
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwELaqcigc-EcECliiCHGImrWd2D4gFCjLLm1XSHSl3lzbcaqVNsmyu1W1N96B9-CheBLG-dmuBOqtx0SONfGM58ee-QahPRbTTMREhlmPQIAiRRLqPCOhS1zPMZbTPPMFzsejZDBmX0_j0y30u6uF8WmVnU6sFXVWWX9Gvk84ODKcCiY-zH6EvmuUv13tWmg0YnHoVpcQsi3eDw-Av28I6X8--TQI264CoQV5XYY2NjwHqXVGC60ZdS4SzORGCsN0nBsSg0531gjHbUwtMSy2XMqMS6sJ1b5LBKj8W4xS6rH6Rf_L-kyHQLTCI9GgoFIqo_1iOfFbKvJNazbsXt0e4F8jcAftXJQzvbrU0-mGlevfR3db9xSnjTw9QFuufIjuda0fcKsJHqFiBFYPg8OLx-nwz89faQnBe7HCVY7Bo8Tf9Fxnk_PCP48XvjqrnrJBq8DDDRjQeo6DqtCTMvw-c3WGIE6HOG0u1uvU3dVjNL6RNX6CtsuqdE8R5jx3GcRsJgdnD74SrEeslR63zERJ5AL0rltXZVtYc99dY6ogvPE8UFc8CNDr9dhZA-bx31EfPXvWIzwAd_2imp-rdj8rYqXkQIF0gjMnmY4MA0ITA9ady5gF6K1nrvJqAsixuq12gJ_ygFsq5eD41mCNAdrt-K9a_bFQV9IeoL21TFxD9LPrZ3mFdgYnx0fqaDg6fI5uE_DUmkS6XbS9nF-4F-BZLc3LWpwxOrvp_fMXxHg4dA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3dbtMwFD6aOomfC_4RhQGWGEJcRE0dp7YvJpTRVSuDqgIq7S6zHWeq1Kal7TT1jnfgrXgMnoTjxOkqgXa3y1Su5eT8J-d8H8A-i6NMxFQGWZtigSJFJ1B5RgPbsW3LWB7lmRtw_jLoHI_Yp9P4dAd-17Mwrq2y9omlo85mxr0jb1GOiQyPBBOt3LdFDLu9D_MfgWOQcl9aazoN5WkWsoMSbswPeZzY9SWWc8uDfhdl_5bS3tH3j8eBZxwIDOryKjCx5jlqtNVKKMUia0PBdK6l0EzFuaYx-ntrtLDcxJGhmsWGS5lxaRSNlGOQwHCwy928aAN2D48Gw6-bNz4UaxkeigojNYpk2Jquxs7gQkdpsxUVS_KAf0PEXbh9UczV-lJNJlsxsPcA7vnklSSVtj2EHVs8gvs1MQTxfuIxTAcYEwmmw2SU9P_8_JUUWNpP12SWE8w3yVAtVDY-n7rr0dLNbpVbVlgWpL8FElru0Z1N1bgIvs1t2T9Ikj5Jqs_uZWPv-gmMbuQpP4VGMSvsMyCc5zbDik7nmArivwRrU2OkQzXTYSe0TXhfP9fUeNBzx70xSbH4cTJIr2TQhDebtfMK6uO_qw6deDYrHDx3-cNscZ56a0-pkZLjCaQVnFnJVKgZHrSjMfZzGbMmvHPCTZ0TweMY5Wch8KYcHFeacEyLSyjHJuzV8k-9d1mmV7bQhP2NTlxz6OfX7_IabqEtpZ_7g5MXcIdiGld12e1BY7W4sC8x7VrpV16fCZzdtAn9BYdEQ04
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bi9QwFD6ssw_qw663xeoqARfEh-502qRpQJB6WXYEh32wsD5ISdJkGZx2htnOyvjkf_Af-ks86WUcVER8bDktp-TknO9rku8AHFEWFQkLhV-MQiQoIol9aYvQN7EZGUptZAt3wPndJD7N6Ntzdr4Dz_uzMG5bJVLxaZOksbpQJDjI0fgwGiJJXxT2xVX3H2kUc8S6iJbFNdiN3fLSAHazyVn6wfWT659sFUkjZPbDsp668A5cA5mtGtRI9f-ekG_C9VW1kOvPcjbbqjgn-_Cx97XdaPLpeFWrY_3lFxnH__2YW7DXQVGStrFzG3ZMdQf2-zYPpJv1d6GcYIUjCG5Jlo6_f_2WVkjUyzWZW4LokZzJpSymF6W7zi7dSazmla0yBRlvSX4273g9L-W08pu-92hD0jFJ20X0Zpvu-h5kJ2_evzr1uy4Nvsb5X_uaKW4xCxglEylpZEyQUGWVSBSVzKqQYY00WiWGaxbpUFGmuRAFF1qGkWTRAQyqeWXuA-HcmgL5mbII7PCphI5CrYXTKFNBHBgPnvXjlutOwtx10pjlSGXcGOc_x9iDJxvbRSvc8Uerl274NxZObLu5MV9e5N3czUMtBEcPhEk4NYLKQFF0NFZYyblg1IOnLnhylxLQHS27kw34UU5cK085gtxGmNGDwz6-8i5XXOYhR4jOo4QmHhxtYu4vTj_4N7OHcCNERNZumDuEQb1cmUeIoGr1uJsoPwAb4BaW
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=Need+for+UAI%E2%80%93Anatomy+of+the+Paradigm+of+Usable+Artificial+Intelligence+for+Domain-Specific+AI+Applicability&rft.jtitle=Multimodal+technologies+and+interaction&rft.au=Wiemer%2C+Hajo&rft.au=Schneider%2C+Dorothea&rft.au=Lang%2C+Valentin&rft.au=Conrad%2C+Felix&rft.date=2023-03-01&rft.issn=2414-4088&rft.eissn=2414-4088&rft.volume=7&rft.issue=3&rft.spage=27&rft_id=info:doi/10.3390%2Fmti7030027&rft.externalDBID=n%2Fa&rft.externalDocID=10_3390_mti7030027
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2414-4088&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2414-4088&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2414-4088&client=summon