{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:AWPKRKODNKUCHB7ACJOL46WB2D","short_pith_number":"pith:AWPKRKOD","schema_version":"1.0","canonical_sha256":"059ea8a9c36aa82387e0125cbe7ac1d0c5c63efebc14534a032f7b35ac1df65e","source":{"kind":"arxiv","id":"2408.09285","version":2},"attestation_state":"computed","paper":{"title":"Evaluating Usability and Engagement of Large Language Models in Virtual Reality for Traditional Scottish Curling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Efe Bozkir, Enkelejda Kasneci, Hong Gao, Ka Hei Carrie Lau","submitted_at":"2024-08-17T20:13:34Z","abstract_excerpt":"This paper explores the innovative application of Large Language Models (LLMs) in Virtual Reality (VR) environments to promote heritage education, focusing on traditional Scottish curling presented in the game ``Scottish Bonspiel VR''. Our study compares the effectiveness of LLM-based chatbots with pre-defined scripted chatbots, evaluating key criteria such as usability, user engagement, and learning outcomes. The results show that LLM-based chatbots significantly improve interactivity and engagement, creating a more dynamic and immersive learning environment. This integration helps document a"},"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":"2408.09285","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-08-17T20:13:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8eeaf2af524c410d333dcb9b3f2cfbe9da3c89dd6c09ab5f45b708eed062d2b8","abstract_canon_sha256":"e9e509609e58355a89a9b3f3eea07a8d119ceaf831fb7d0303d2536d3fc694e3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:00.191746Z","signature_b64":"5KnQ4GTS7jJrPyrnUY9VqLO/iCCaP/GJkdFX66cKeLCi+iJ+9/7YbjpktleIMbz9PPP1ZUTac/16GSqgKa5dAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"059ea8a9c36aa82387e0125cbe7ac1d0c5c63efebc14534a032f7b35ac1df65e","last_reissued_at":"2026-07-05T11:08:00.191242Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:00.191242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating Usability and Engagement of Large Language Models in Virtual Reality for Traditional Scottish Curling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Efe Bozkir, Enkelejda Kasneci, Hong Gao, Ka Hei Carrie Lau","submitted_at":"2024-08-17T20:13:34Z","abstract_excerpt":"This paper explores the innovative application of Large Language Models (LLMs) in Virtual Reality (VR) environments to promote heritage education, focusing on traditional Scottish curling presented in the game ``Scottish Bonspiel VR''. Our study compares the effectiveness of LLM-based chatbots with pre-defined scripted chatbots, evaluating key criteria such as usability, user engagement, and learning outcomes. The results show that LLM-based chatbots significantly improve interactivity and engagement, creating a more dynamic and immersive learning environment. This integration helps document a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09285","kind":"arxiv","version":2},"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/2408.09285/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":"2408.09285","created_at":"2026-07-05T11:08:00.191302+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.09285v2","created_at":"2026-07-05T11:08:00.191302+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09285","created_at":"2026-07-05T11:08:00.191302+00:00"},{"alias_kind":"pith_short_12","alias_value":"AWPKRKODNKUC","created_at":"2026-07-05T11:08:00.191302+00:00"},{"alias_kind":"pith_short_16","alias_value":"AWPKRKODNKUCHB7A","created_at":"2026-07-05T11:08:00.191302+00:00"},{"alias_kind":"pith_short_8","alias_value":"AWPKRKOD","created_at":"2026-07-05T11:08:00.191302+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2411.18438","citing_title":"Adaptive Gen-AI Guidance in Virtual Reality: A Multimodal Exploration of Engagement in Neapolitan Pizza-Making","ref_index":40,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D","json":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D.json","graph_json":"https://pith.science/api/pith-number/AWPKRKODNKUCHB7ACJOL46WB2D/graph.json","events_json":"https://pith.science/api/pith-number/AWPKRKODNKUCHB7ACJOL46WB2D/events.json","paper":"https://pith.science/paper/AWPKRKOD"},"agent_actions":{"view_html":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D","download_json":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D.json","view_paper":"https://pith.science/paper/AWPKRKOD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.09285&json=true","fetch_graph":"https://pith.science/api/pith-number/AWPKRKODNKUCHB7ACJOL46WB2D/graph.json","fetch_events":"https://pith.science/api/pith-number/AWPKRKODNKUCHB7ACJOL46WB2D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D/action/storage_attestation","attest_author":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D/action/author_attestation","sign_citation":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D/action/citation_signature","submit_replication":"https://pith.science/pith/AWPKRKODNKUCHB7ACJOL46WB2D/action/replication_record"}},"created_at":"2026-07-05T11:08:00.191302+00:00","updated_at":"2026-07-05T11:08:00.191302+00:00"}