{"id":"https://openalex.org/W4414754409","doi":"https://doi.org/10.48550/arxiv.2507.10958","title":"DS@GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention models","display_name":"DS@GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention models","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W4414754409","doi":"https://doi.org/10.48550/arxiv.2507.10958"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2507.10958","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.10958","pdf_url":"https://arxiv.org/pdf/2507.10958","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.10958","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078321399","display_name":"Anthony Miyaguchi","orcid":"https://orcid.org/0000-0002-9165-8718"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Miyaguchi, Anthony","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104435451","display_name":"David Guecha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guecha, David","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chiu, Yuwen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chiu, Yuwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5119817657","display_name":"Sidharth Gaur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaur, Sidharth","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078321399"],"corresponding_institution_ids":[],"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6546000242233276},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5967000126838684},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.48170000314712524},{"id":"https://openalex.org/keywords/rasch-model","display_name":"Rasch model","score":0.43160000443458557},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.34360000491142273}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6546000242233276},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6417999863624573},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5967000126838684},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.48170000314712524},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.4733000099658966},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.47290000319480896},{"id":"https://openalex.org/C101266164","wikidata":"https://www.wikidata.org/wiki/Q2131821","display_name":"Rasch model","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3723999857902527},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.34360000491142273},{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.28929999470710754},{"id":"https://openalex.org/C3020759390","wikidata":"https://www.wikidata.org/wiki/Q4880694","display_name":"Behaviour change","level":3,"score":0.2879999876022339},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28679999709129333},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C2778121785","wikidata":"https://www.wikidata.org/wiki/Q781083","display_name":"Augmentative and alternative communication","level":2,"score":0.26660001277923584}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2507.10958","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.10958","pdf_url":"https://arxiv.org/pdf/2507.10958","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.10958","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.10958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.10958","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.10958","pdf_url":"https://arxiv.org/pdf/2507.10958","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"Working":[1],"Note":[2],"summarizes":[3],"the":[4,7,16,68,75,84],"participation":[5],"of":[6,70,77],"DS@GT":[8],"team":[9],"in":[10,32],"two":[11],"eRisk":[12],"2025":[13],"challenges.":[14],"For":[15],"Pilot":[17],"Task":[18],"on":[19,83],"conversational":[20,71],"depression":[21],"detection":[22],"with":[23,63],"large":[24],"language-models":[25],"(LLMs),":[26],"we":[27,49],"adopted":[28],"a":[29],"prompt-engineering":[30],"strategy":[31],"which":[33],"diverse":[34],"LLMs":[35],"conducted":[36],"BDI-II-based":[37],"assessments":[38],"and":[39,53,66,94],"produced":[40],"structured":[41],"JSON":[42],"outputs.":[43],"Because":[44],"ground-truth":[45],"labels":[46],"were":[47],"unavailable,":[48],"evaluated":[50],"cross-model":[51],"agreement":[52],"internal":[54],"consistency.":[55],"Our":[56,79],"prompt":[57],"design":[58],"methodology":[59],"aligned":[60],"model":[61],"outputs":[62],"BDI-II":[64],"criteria":[65],"enabled":[67],"analysis":[69],"cues":[72],"that":[73],"influenced":[74],"prediction":[76],"symptoms.":[78],"best":[80],"submission,":[81],"second":[82],"official":[85],"leaderboard,":[86],"achieved":[87],"DCHR":[88],"=":[89,92,96],"0.50,":[90],"ADODL":[91],"0.89,":[93],"ASHR":[95],"0.27.":[97]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}