{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6MQBEPCK4PWZDZNT2ZJBTNWORQ","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":"b83e2ef6929ef7a38c2f0f7d1f8d7733a81452707c978bf3cad2154ebeac66b0","cross_cats_sorted":["cs.AI","cs.CV","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2022-10-02T20:17:11Z","title_canon_sha256":"cfa68c6bf613c069e671b7cea2af9edc182d30cad11e2e636ba7d2ba64edc46d"},"schema_version":"1.0","source":{"id":"2210.03735","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.03735","created_at":"2026-07-05T05:42:49Z"},{"alias_kind":"arxiv_version","alias_value":"2210.03735v2","created_at":"2026-07-05T05:42:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.03735","created_at":"2026-07-05T05:42:49Z"},{"alias_kind":"pith_short_12","alias_value":"6MQBEPCK4PWZ","created_at":"2026-07-05T05:42:49Z"},{"alias_kind":"pith_short_16","alias_value":"6MQBEPCK4PWZDZNT","created_at":"2026-07-05T05:42:49Z"},{"alias_kind":"pith_short_8","alias_value":"6MQBEPCK","created_at":"2026-07-05T05:42:49Z"}],"graph_snapshots":[{"event_id":"sha256:2a0a02fe10d703f548372befb1326576f228e42589513d666c09054d24ce2720","target":"graph","created_at":"2026-07-05T05:42:49Z","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/2210.03735/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the proliferation of explainable AI (XAI) methods, little is understood about end-users' explainability needs and behaviors around XAI explanations. To address this gap and contribute to understanding how explainability can support human-AI interaction, we conducted a mixed-methods study with 20 end-users of a real-world AI application, the Merlin bird identification app, and inquired about their XAI needs, uses, and perceptions. We found that participants desire practically useful information that can improve their collaboration with the AI, more so than technical system details. Rela","authors_text":"Andr\\'es Monroy-Hern\\'andez, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Sunnie S. Y. Kim","cross_cats":["cs.AI","cs.CV","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2022-10-02T20:17:11Z","title":"\"Help Me Help the AI\": Understanding How Explainability Can Support Human-AI Interaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.03735","kind":"arxiv","version":2},"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":"sha256:6d0986560dd16f44f850e53c3fd8c80fff14d12cf992886fbe2cc79212599189","target":"record","created_at":"2026-07-05T05:42:49Z","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":"b83e2ef6929ef7a38c2f0f7d1f8d7733a81452707c978bf3cad2154ebeac66b0","cross_cats_sorted":["cs.AI","cs.CV","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2022-10-02T20:17:11Z","title_canon_sha256":"cfa68c6bf613c069e671b7cea2af9edc182d30cad11e2e636ba7d2ba64edc46d"},"schema_version":"1.0","source":{"id":"2210.03735","kind":"arxiv","version":2}},"canonical_sha256":"f320123c4ae3ed91e5b3d65219b6ce8c32477aa08a8aecd27ea101e36f9194b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f320123c4ae3ed91e5b3d65219b6ce8c32477aa08a8aecd27ea101e36f9194b8","first_computed_at":"2026-07-05T05:42:49.063799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:42:49.063799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zeZUdJJxlhFwd/zyVXOvJDVe3HsWU1IJlhlhEjiK6AYnVZop0IGrh5EfDOSIU9jm5gqi2q+RRybozh6MhqSoAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:42:49.064294Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.03735","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d0986560dd16f44f850e53c3fd8c80fff14d12cf992886fbe2cc79212599189","sha256:2a0a02fe10d703f548372befb1326576f228e42589513d666c09054d24ce2720"],"state_sha256":"49e410d956e1b3d76bdc7bb169e045b4702b4baee7d3c0e5b9c74430e2e37c1d"}