{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YNSCI3DIG6RV7C4IS2MSSKU5EK","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ef1ba73fd55e4e39bd6fa1bef97388a186e4a228cce2d68e82bb61fd4796a200","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-04-08T12:22:39Z","title_canon_sha256":"45970c07135beb27fb778a94ee6e5826c6de99d070a4b026d3edb4b3f686742b"},"schema_version":"1.0","source":{"id":"2404.05442","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.05442","created_at":"2026-07-05T08:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2404.05442v1","created_at":"2026-07-05T08:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.05442","created_at":"2026-07-05T08:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"YNSCI3DIG6RV","created_at":"2026-07-05T08:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"YNSCI3DIG6RV7C4I","created_at":"2026-07-05T08:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"YNSCI3DI","created_at":"2026-07-05T08:05:31Z"}],"graph_snapshots":[{"event_id":"sha256:5e240654f48f4bdccbae3c71077709d71f7837e38d1d1091a83cbac83021bc89","target":"graph","created_at":"2026-07-05T08:05:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2404.05442/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Developing user-centred applications that address diverse user needs requires rigorous user research. This is time, effort and cost-consuming. With the recent rise of generative AI techniques based on Large Language Models (LLMs), there is a possibility that these powerful tools can be used to develop adaptive interfaces. This paper presents a novel approach to develop user personas and adaptive interface candidates for a specific domain using ChatGPT. We develop user personas and adaptive interfaces using both ChatGPT and a traditional manual process and compare these outcomes. To obtain data","authors_text":"Anuradha Madugalla, Chetan Arora, John Grundy, Shruti Mahajan, Tanjila Kanij, Yutan Huang","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-04-08T12:22:39Z","title":"Unlocking Adaptive User Experience with Generative AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.05442","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:63174acafc46b01e51d26b30c39b525470d62d8c4b77ce9b1adf2f27317acb2a","target":"record","created_at":"2026-07-05T08:05:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ef1ba73fd55e4e39bd6fa1bef97388a186e4a228cce2d68e82bb61fd4796a200","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-04-08T12:22:39Z","title_canon_sha256":"45970c07135beb27fb778a94ee6e5826c6de99d070a4b026d3edb4b3f686742b"},"schema_version":"1.0","source":{"id":"2404.05442","kind":"arxiv","version":1}},"canonical_sha256":"c364246c6837a35f8b889699292a9d2282901dbfa8492858f15d46bf6249e895","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c364246c6837a35f8b889699292a9d2282901dbfa8492858f15d46bf6249e895","first_computed_at":"2026-07-05T08:05:31.070410Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:05:31.070410Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bG1LRcCvwAe7s0mPmGtMFaZqNC8MUSZDBCAw7R5Rf/LKU/hwz2qCZ4w+VbIfZaWbzenTyWYZcb0ComdNj5c5BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:05:31.070758Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.05442","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63174acafc46b01e51d26b30c39b525470d62d8c4b77ce9b1adf2f27317acb2a","sha256:5e240654f48f4bdccbae3c71077709d71f7837e38d1d1091a83cbac83021bc89"],"state_sha256":"4d5c29859935d3b2b93a7b61b32cfb84e11db5547238741b07e527c925efb378"}