{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:JD4E3YCXMCN4QRIIN75GCIWPJH","short_pith_number":"pith:JD4E3YCX","schema_version":"1.0","canonical_sha256":"48f84de057609bc845086ffa6122cf49d0da20e5c09c821670af50e10116c46e","source":{"kind":"arxiv","id":"2310.06391","version":1},"attestation_state":"computed","paper":{"title":"Improved prompting and process for writing user personas with LLMs, using qualitative interviews: Capturing behaviour and personality traits of users","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.HC","authors_text":"Stefano De Paoli","submitted_at":"2023-10-10T07:54:24Z","abstract_excerpt":"This draft paper presents a workflow for creating User Personas with Large Language Models, using the results of a Thematic Analysis of qualitative interviews. The proposed workflow uses improved prompting and a larger pool of Themes, compared to previous work conducted by the author for the same task. This is possible due to the capabilities of a recently released LLM which allows the processing of 16 thousand tokens (GPT3.5-Turbo-16k) and also due to the possibility to offer a refined prompting for the creation of Personas. The paper offers details of performing Phase 2 and 3 of Thematic Ana"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2310.06391","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-10-10T07:54:24Z","cross_cats_sorted":["cs.CL","cs.CY"],"title_canon_sha256":"64089463e5afcec3b192dbf46f17496450f1ce29b7f27e0e73da9fd614eda7be","abstract_canon_sha256":"4a2ff92ba75bbc01093a9d83d966697511bdc923f675db723beb807540267972"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:59:10.542136Z","signature_b64":"bNvxap75Ud4tjFcJMqgUAWOUYYV3k1Lrm3emg051zMIUGMlQV/BY4ZyNO02a6eRL44aYx872l5AQtbT7blutDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"48f84de057609bc845086ffa6122cf49d0da20e5c09c821670af50e10116c46e","last_reissued_at":"2026-07-05T06:59:10.541672Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:59:10.541672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improved prompting and process for writing user personas with LLMs, using qualitative interviews: Capturing behaviour and personality traits of users","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.HC","authors_text":"Stefano De Paoli","submitted_at":"2023-10-10T07:54:24Z","abstract_excerpt":"This draft paper presents a workflow for creating User Personas with Large Language Models, using the results of a Thematic Analysis of qualitative interviews. The proposed workflow uses improved prompting and a larger pool of Themes, compared to previous work conducted by the author for the same task. This is possible due to the capabilities of a recently released LLM which allows the processing of 16 thousand tokens (GPT3.5-Turbo-16k) and also due to the possibility to offer a refined prompting for the creation of Personas. The paper offers details of performing Phase 2 and 3 of Thematic Ana"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.06391","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.06391/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2310.06391","created_at":"2026-07-05T06:59:10.541729+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.06391v1","created_at":"2026-07-05T06:59:10.541729+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.06391","created_at":"2026-07-05T06:59:10.541729+00:00"},{"alias_kind":"pith_short_12","alias_value":"JD4E3YCXMCN4","created_at":"2026-07-05T06:59:10.541729+00:00"},{"alias_kind":"pith_short_16","alias_value":"JD4E3YCXMCN4QRII","created_at":"2026-07-05T06:59:10.541729+00:00"},{"alias_kind":"pith_short_8","alias_value":"JD4E3YCX","created_at":"2026-07-05T06:59:10.541729+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2504.04927","citing_title":"Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles","ref_index":74,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH","json":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH.json","graph_json":"https://pith.science/api/pith-number/JD4E3YCXMCN4QRIIN75GCIWPJH/graph.json","events_json":"https://pith.science/api/pith-number/JD4E3YCXMCN4QRIIN75GCIWPJH/events.json","paper":"https://pith.science/paper/JD4E3YCX"},"agent_actions":{"view_html":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH","download_json":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH.json","view_paper":"https://pith.science/paper/JD4E3YCX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.06391&json=true","fetch_graph":"https://pith.science/api/pith-number/JD4E3YCXMCN4QRIIN75GCIWPJH/graph.json","fetch_events":"https://pith.science/api/pith-number/JD4E3YCXMCN4QRIIN75GCIWPJH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH/action/storage_attestation","attest_author":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH/action/author_attestation","sign_citation":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH/action/citation_signature","submit_replication":"https://pith.science/pith/JD4E3YCXMCN4QRIIN75GCIWPJH/action/replication_record"}},"created_at":"2026-07-05T06:59:10.541729+00:00","updated_at":"2026-07-05T06:59:10.541729+00:00"}