{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:TIS6HMBHSGUXKLI66GHF6TEVAA","short_pith_number":"pith:TIS6HMBH","schema_version":"1.0","canonical_sha256":"9a25e3b02791a9752d1ef18e5f4c95001452e86b69722b481a570f49b2be8c8c","source":{"kind":"arxiv","id":"2406.07369","version":1},"attestation_state":"computed","paper":{"title":"A qualitative field study on explainable AI for lay users subjected to AI cyberattacks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Asimina Vasalou, Dennis Ivory, George Loukas, Hsueh-Ju Chen, Kevin McAreavey, Kim Bauters, Manos Panaousis, Rachael Payler, Rea Gill, Weiru Liu","submitted_at":"2024-06-11T15:37:31Z","abstract_excerpt":"In this paper we present results from a qualitative field study on explainable AI (XAI) for lay users (n = 18) who were subjected to AI cyberattacks. The study was based on a custom-built smart heating application called Squid and was conducted over seven weeks in early 2023. Squid combined a smart radiator valve installed in participant homes with a web application that implemented an AI feature known as setpoint learning, which is commonly available in consumer smart thermostats. Development of Squid followed the XAI principle of interpretability-by-design where the AI feature was implemente"},"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":"2406.07369","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-06-11T15:37:31Z","cross_cats_sorted":[],"title_canon_sha256":"71244a0046b9f4f6ce508a5f21306c9a51b08dd7dcafdc4afdcde045ec8c56e8","abstract_canon_sha256":"01b6c23433e1e6c3fb001bbd684dba492bc0e6425764422307f6c372cb12ad43"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:30:22.449659Z","signature_b64":"UPq/58IKU7wGTlvBbaIjcI86m3JIYVXfH2udkNYJpRRIZOluPyv7S1YLr9N1KFAIs+BxijQMEXnTr3XKXy8nDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a25e3b02791a9752d1ef18e5f4c95001452e86b69722b481a570f49b2be8c8c","last_reissued_at":"2026-07-05T08:30:22.449218Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:30:22.449218Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A qualitative field study on explainable AI for lay users subjected to AI cyberattacks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Asimina Vasalou, Dennis Ivory, George Loukas, Hsueh-Ju Chen, Kevin McAreavey, Kim Bauters, Manos Panaousis, Rachael Payler, Rea Gill, Weiru Liu","submitted_at":"2024-06-11T15:37:31Z","abstract_excerpt":"In this paper we present results from a qualitative field study on explainable AI (XAI) for lay users (n = 18) who were subjected to AI cyberattacks. The study was based on a custom-built smart heating application called Squid and was conducted over seven weeks in early 2023. Squid combined a smart radiator valve installed in participant homes with a web application that implemented an AI feature known as setpoint learning, which is commonly available in consumer smart thermostats. Development of Squid followed the XAI principle of interpretability-by-design where the AI feature was implemente"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07369","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/2406.07369/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":"2406.07369","created_at":"2026-07-05T08:30:22.449277+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.07369v1","created_at":"2026-07-05T08:30:22.449277+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07369","created_at":"2026-07-05T08:30:22.449277+00:00"},{"alias_kind":"pith_short_12","alias_value":"TIS6HMBHSGUX","created_at":"2026-07-05T08:30:22.449277+00:00"},{"alias_kind":"pith_short_16","alias_value":"TIS6HMBHSGUXKLI6","created_at":"2026-07-05T08:30:22.449277+00:00"},{"alias_kind":"pith_short_8","alias_value":"TIS6HMBH","created_at":"2026-07-05T08:30:22.449277+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA","json":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA.json","graph_json":"https://pith.science/api/pith-number/TIS6HMBHSGUXKLI66GHF6TEVAA/graph.json","events_json":"https://pith.science/api/pith-number/TIS6HMBHSGUXKLI66GHF6TEVAA/events.json","paper":"https://pith.science/paper/TIS6HMBH"},"agent_actions":{"view_html":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA","download_json":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA.json","view_paper":"https://pith.science/paper/TIS6HMBH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.07369&json=true","fetch_graph":"https://pith.science/api/pith-number/TIS6HMBHSGUXKLI66GHF6TEVAA/graph.json","fetch_events":"https://pith.science/api/pith-number/TIS6HMBHSGUXKLI66GHF6TEVAA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA/action/storage_attestation","attest_author":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA/action/author_attestation","sign_citation":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA/action/citation_signature","submit_replication":"https://pith.science/pith/TIS6HMBHSGUXKLI66GHF6TEVAA/action/replication_record"}},"created_at":"2026-07-05T08:30:22.449277+00:00","updated_at":"2026-07-05T08:30:22.449277+00:00"}