{"id":"https://openalex.org/W2978794340","doi":"https://doi.org/10.18420/muc2019-ws-300-05","title":"A Research Agenda to Deploy Technology Enhanced Learning with Augmented Reality in Industry","display_name":"A Research Agenda to Deploy Technology Enhanced Learning with Augmented Reality in Industry","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2978794340","doi":"https://doi.org/10.18420/muc2019-ws-300-05","mag":"2978794340"},"language":"en","primary_location":{"id":"doi:10.18420/muc2019-ws-300-05","is_oa":true,"landing_page_url":"https://doi.org/10.18420/muc2019-ws-300-05","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/muc2019-ws-300-05","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001620794","display_name":"Michael Spitzer","orcid":"https://orcid.org/0000-0003-2173-9317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spitzer, Michael","raw_affiliation_strings":["Arbeitsgruppe . areaA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arbeitsgruppe . areaA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055833266","display_name":"Inge Gsellmann","orcid":"https://orcid.org/0000-0003-4624-9875"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gsellmann, Inge","raw_affiliation_strings":["Arbeitsgruppe . areaA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arbeitsgruppe . areaA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038743867","display_name":"Matthias Hebenstreit","orcid":"https://orcid.org/0000-0002-3880-1191"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hebenstreit, Matthias\nDamalas","raw_affiliation_strings":["Arbeitsgruppe . areaA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arbeitsgruppe . areaA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083412977","display_name":"Martin Ebner","orcid":"https://orcid.org/0000-0001-5789-5296"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ebner, Martin","raw_affiliation_strings":["Arbeitsgruppe . areaA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arbeitsgruppe . areaA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3051,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61325523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9889000058174133,"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/T10888","display_name":"Augmented Reality Applications","score":0.9889000058174133,"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/T11283","display_name":"Experimental Learning in Engineering","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.957099974155426,"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/augmented-reality","display_name":"Augmented reality","score":0.6229589581489563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45616963505744934},{"id":"https://openalex.org/keywords/industry-4.0","display_name":"Industry 4.0","score":0.44989320635795593},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.413047730922699},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34587299823760986},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.32831764221191406},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.327422559261322}],"concepts":[{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.6229589581489563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45616963505744934},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.44989320635795593},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.413047730922699},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34587299823760986},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.32831764221191406},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.327422559261322},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/muc2019-ws-300-05","is_oa":true,"landing_page_url":"https://doi.org/10.18420/muc2019-ws-300-05","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/muc2019-ws-300-05","is_oa":true,"landing_page_url":"https://doi.org/10.18420/muc2019-ws-300-05","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1512021223","https://openalex.org/W1529465401","https://openalex.org/W1549037136","https://openalex.org/W1990810281","https://openalex.org/W2016692025","https://openalex.org/W2341724548","https://openalex.org/W2592800940","https://openalex.org/W2783328348","https://openalex.org/W2899268253"],"related_works":["https://openalex.org/W2908356080","https://openalex.org/W2507261799","https://openalex.org/W2609642964","https://openalex.org/W3166058559","https://openalex.org/W3034877563","https://openalex.org/W2913740318","https://openalex.org/W2794773031","https://openalex.org/W2923558680","https://openalex.org/W2892157410","https://openalex.org/W3022925077","https://openalex.org/W3210381432","https://openalex.org/W2810404825","https://openalex.org/W160291426","https://openalex.org/W2596949284","https://openalex.org/W2494050820","https://openalex.org/W2279972009","https://openalex.org/W187525410","https://openalex.org/W2912479362","https://openalex.org/W2973681954","https://openalex.org/W2947881447"],"abstract_inverted_index":{"To":[0],"apply":[1],"Technology":[2,98],"Enhanced":[3],"Learning":[4],"(TEL)":[5],"with":[6],"Augmented":[7],"Reality":[8],"(AR)":[9],"in":[10,29],"industry,":[11],"a":[12,73,102],"suitable":[13],"methodology":[14,33],"is":[15,51,65,70,78,105],"necessary.":[16],"This":[17,76],"work":[18],"focuses":[19],"on":[20],"how":[21],"to":[22,52,71,85,108],"deploy":[23],"and":[24,41,43],"evaluate":[25],"AR":[26],"learning":[27],"scenarios":[28],"industrial":[30],"environments.":[31],"The":[32,48,67],"evolved":[34],"within":[35],"the":[36,54,58,62,86,89,93,110,114],"two":[37],"EU":[38],"projects":[39],"FACTS4WORKERS":[40],"iDEV40":[42],"has":[44],"been":[45],"improved":[46,80],"iteratively.":[47],"first":[49,74],"step":[50,69],"investigate":[53],"use":[55],"case":[56],"at":[57],"industry":[59,90],"partner.":[60,91],"Then":[61],"appropriate":[63,97],"concept":[64],"defined.":[66],"next":[68],"develop":[72],"prototype.":[75],"prototype":[77,94],"then":[79],"during":[81],"several":[82],"iterations":[83],"according":[84],"feedback":[87],"of":[88],"When":[92],"reaches":[95],"an":[96],"Readiness":[99],"Level":[100],"(TRL),":[101],"final":[103],"evaluation":[104],"carried":[106],"out":[107],"verify":[109],"software":[111],"artifact":[112],"against":[113],"gathered":[115],"requirements.":[116]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
