{"id":"https://openalex.org/W7204696353","doi":"https://doi.org/10.5281/zenodo.22181474","title":"Raw Participant-Level Data for the HSGM and Conventional Prompting Study","display_name":"Raw Participant-Level Data for the HSGM and Conventional Prompting Study","publication_year":2026,"publication_date":"2026-08-30","ids":{"openalex":"https://openalex.org/W7204696353","doi":"https://doi.org/10.5281/zenodo.22181474"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22181474","doi":"https://doi.org/10.5281/zenodo.22181474","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22181474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"},"volume":null,"type":"other","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22181474","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119030755","display_name":"Fadwa Barakat","orcid":"https://orcid.org/0000-0001-5339-1373","observed_orcids":["https://orcid.org/0000-0001-5339-1373"]},"institutions":[{"id":"https://openalex.org/I27570832","display_name":"Jadara University","ror":"https://ror.org/001drnv35","country_code":"JO","type":"education","lineage":["https://openalex.org/I27570832"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Barakat, Fadwa","raw_affiliation_strings":["Jadara University"],"raw_orcid":"https://orcid.org/0000-0001-5339-1373","affiliations":[{"raw_affiliation_string":"Jadara University","institution_ids":["https://openalex.org/I27570832"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5119030755"],"corresponding_institution_ids":["https://openalex.org/I27570832"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.5009999871253967,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T14254","display_name":"Digital Media and Visual Art","score":0.5009999871253967,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10672","display_name":"Design Education and Practice","score":0.415800005197525,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.022199999541044235,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/generative-ai","display_name":"generative AI","score":0.47999998927116394},{"id":"https://openalex.org/keywords/design-professionals","display_name":"design professionals","score":0.6019999980926514},{"id":"https://openalex.org/keywords/idea-generation","display_name":"idea generation","score":0.460999995470047},{"id":"https://openalex.org/keywords/creative-workflows","display_name":"creative workflows","score":0.5199999809265137}],"concepts":[{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6259999871253967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5034999847412109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950000047683716},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.44850000739097595},{"id":"https://openalex.org/C139997677","wikidata":"https://www.wikidata.org/wiki/Q60195","display_name":"Semiotics","level":2,"score":0.44190001487731934},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41269999742507935},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.39320001006126404},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36649999022483826},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3190000057220459},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.2572000026702881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22181474","doi":"https://doi.org/10.5281/zenodo.22181474","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22181474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"},{"id":"doi:10.5281/zenodo.22181475","doi":"https://doi.org/10.5281/zenodo.22181475","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22181475","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22181474","doi":"https://doi.org/10.5281/zenodo.22181474","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22181474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7203693827","https://openalex.org/W3193968502","https://openalex.org/W7222962891","https://openalex.org/W7214192216","https://openalex.org/W7169863507","https://openalex.org/W7221207811","https://openalex.org/W7170200337","https://openalex.org/W7165626058","https://openalex.org/W7159113465","https://openalex.org/W7133516516"],"abstract_inverted_index":{"An":[0],"anonymized":[1],"participant-level":[2],"dataset":[3,20],"supporting":[4],"the":[5,46,51],"study":[6],"\u201cStructuring":[7],"Meaning":[8],"in":[9,50],"AI-Assisted":[10],"Visual":[11],"Ideation:":[12],"A":[13],"Semiotic":[14],"Scaffold":[15],"for":[16],"Creative":[17],"Workflows.\u201d":[18],"The":[19,43],"contains":[21],"participant":[22],"ratings":[23],"from":[24],"55":[25],"professional":[26],"designers":[27],"who":[28],"evaluated":[29],"HSGM":[30],"and":[31,41],"conventional":[32],"prompting":[33],"across":[34],"four":[35],"concept":[36],"tasks:":[37],"Danger,":[38],"Trust,":[39],"Joy,":[40],"Elegance.":[42],"data":[44],"support":[45],"statistical":[47],"analyses":[48],"reported":[49],"study.":[52]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-08-31T00:00:00"}