{"id":"https://openalex.org/W4389282280","doi":"https://doi.org/10.1145/3623809.3623931","title":"Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages","display_name":"Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages","publication_year":2023,"publication_date":"2023-12-03","ids":{"openalex":"https://openalex.org/W4389282280","doi":"https://doi.org/10.1145/3623809.3623931"},"language":"en","primary_location":{"id":"doi:10.1145/3623809.3623931","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3623809.3623931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Human-Agent Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053372709","display_name":"Samuel Rhys Cox","orcid":"https://orcid.org/0000-0002-4558-6610"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Samuel Rhys Cox","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4558-6610","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101779238","display_name":"Ashraf Abdul","orcid":"https://orcid.org/0000-0002-3383-6440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashraf Abdul","raw_affiliation_strings":["Unaffiliated, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3383-6440","affiliations":[{"raw_affiliation_string":"Unaffiliated, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072587271","display_name":"Wei Tsang Ooi","orcid":"https://orcid.org/0000-0001-8994-1736"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Tsang Ooi","raw_affiliation_strings":["Computer Science, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-8994-1736","affiliations":[{"raw_affiliation_string":"Computer Science, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053372709"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":2.0449,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8966734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9812570810317993},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.861373782157898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6766999959945679},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.5739470720291138},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5696240067481995},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5268959999084473},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46491509675979614},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34502339363098145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3391345739364624},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3335118889808655},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3216826319694519},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.07846885919570923},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06894883513450623}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9812570810317993},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.861373782157898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766999959945679},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5739470720291138},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5696240067481995},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5268959999084473},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46491509675979614},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34502339363098145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3391345739364624},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3335118889808655},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3216826319694519},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.07846885919570923},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06894883513450623},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3623809.3623931","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3623809.3623931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Human-Agent Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2042824179","https://openalex.org/W2053859636","https://openalex.org/W2406544900","https://openalex.org/W2537060787","https://openalex.org/W2562236173","https://openalex.org/W3034723486","https://openalex.org/W3123927702","https://openalex.org/W3162670395","https://openalex.org/W3203321135","https://openalex.org/W4283321795","https://openalex.org/W4292779060","https://openalex.org/W4307536702","https://openalex.org/W4313447794","https://openalex.org/W4317465744","https://openalex.org/W4320005767","https://openalex.org/W4360836968","https://openalex.org/W4361289889","https://openalex.org/W4365601444","https://openalex.org/W4365999098","https://openalex.org/W4366547384","https://openalex.org/W4366549000","https://openalex.org/W4377864954","https://openalex.org/W4378387269","https://openalex.org/W4379958543","https://openalex.org/W4382619745","https://openalex.org/W4384662964","https://openalex.org/W4385014863","https://openalex.org/W4385564993","https://openalex.org/W6600704668","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"are":[4,53],"increasingly":[5],"capable":[6],"and":[7,9,55,102,117,158],"prevalent,":[8],"can":[10],"be":[11,43],"used":[12,70,93],"to":[13,58,78,80,97,137],"produce":[14,138],"creative":[15],"content.":[16],"The":[17],"quality":[18],"of":[19,88,107],"content":[20],"is":[21],"influenced":[22],"by":[23,154],"the":[24,104,115,128,132,143],"prompt":[25],"used,":[26],"with":[27],"more":[28,139],"specific":[29,54],"prompts":[30,130],"that":[31,45,75,127],"incorporate":[32],"examples":[33,57,77],"generally":[34],"producing":[35],"better":[36],"results.":[37],"On":[38],"from":[39,151],"this,":[40,68],"it":[41],"could":[42,61],"seen":[44],"using":[46,100,114,131],"instructions":[47],"written":[48],"for":[49],"crowdsourcing":[50,73,133],"tasks":[51],"(that":[52],"include":[56],"guide":[59],"workers)":[60],"prove":[62],"effective":[63],"LLM":[64,129],"prompts.":[65,124,146],"To":[66],"explore":[67],"we":[69],"a":[71,84],"previous":[72],"pipeline":[74,96,134],"gave":[76],"people":[79],"help":[81],"them":[82],"generate":[83,98],"collectively":[85],"diverse":[86,140],"corpus":[87],"motivational":[89],"messages.":[90],"We":[91,125,147],"then":[92],"this":[94],"same":[95],"messages":[99,108,141,152],"GPT-4,":[101],"compared":[103],"collective":[105],"diversity":[106],"from:":[109],"(1)":[110],"crowd-writers,":[111],"(2)":[112],"GPT-4":[113,123,136],"pipeline,":[116],"(3":[118],"&":[119],"4)":[120],"two":[121,144],"baseline":[122,145],"found":[126],"caused":[135],"than":[142],"also":[148],"discuss":[149],"implications":[150],"generated":[153],"both":[155],"human":[156],"writers":[157],"LLMs.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
