{"paper":{"title":"WhiteTesseract: Reframing the Interpretation of Cultural Heritage through XR and Conversational AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"WhiteTesseract combines XR and conversational AI to extend viewing time and deepen visitor inquiries in physical cultural heritage exhibitions.","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Jingjing Li, Tatsuki Fushimi, Xiyao Jin, Yoichi Ochiai, Zhi Liu","submitted_at":"2026-05-16T12:50:37Z","abstract_excerpt":"Cultural heritage exhibitions often struggle to sustain attention and support reflective engagement. Physical exhibitions rely on fixed interpretive aids that lack adaptability to individual backgrounds or curiosity, and their effectiveness depends heavily on a visitor's Personal Context, prior knowledge, and cultural literacy. Meanwhile, digital exhibitions prioritize convenience and accessibility but risk weakening the Physical and Social Contexts that define embodied cultural experience.\n  WhiteTesseract addresses this gap by enabling in-situ interpretation through high-resolution XR and co"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Quantitative results showed that WhiteTesseract modulation significantly increased average viewing duration from 35.3 to 98.3 seconds (p < 0.001). Analysis of 529 visitor-AI interactions revealed that 60% extended beyond factual queries to include analytical, emotional, and comparative inquiries.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The controlled laboratory-style deployment with 26 participants and post-hoc classification of interactions accurately captures the effect that would occur in an uncontrolled public exhibition where visitors move freely and social context varies.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"WhiteTesseract deploys XR-based diminished reality and LLM dialogue in a Monet exhibition, raising average viewing time from 35.3 to 98.3 seconds and shifting 60% of 529 interactions toward analytical and emotional queries.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"WhiteTesseract combines XR and conversational AI to extend viewing time and deepen visitor inquiries in physical cultural heritage exhibitions.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"475b40d0b5c18c08c7206ebb2d5c4cd18801aea6fa08bbfd2a48d06990e6e499"},"source":{"id":"2605.16972","kind":"arxiv","version":1},"verdict":{"id":"71910ac3-23b5-440f-8d2d-fd11c8ccf9da","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-19T20:04:41.864299Z","strongest_claim":"Quantitative results showed that WhiteTesseract modulation significantly increased average viewing duration from 35.3 to 98.3 seconds (p < 0.001). Analysis of 529 visitor-AI interactions revealed that 60% extended beyond factual queries to include analytical, emotional, and comparative inquiries.","one_line_summary":"WhiteTesseract deploys XR-based diminished reality and LLM dialogue in a Monet exhibition, raising average viewing time from 35.3 to 98.3 seconds and shifting 60% of 529 interactions toward analytical and emotional queries.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The controlled laboratory-style deployment with 26 participants and post-hoc classification of interactions accurately captures the effect that would occur in an uncontrolled public exhibition where visitors move freely and social context varies.","pith_extraction_headline":"WhiteTesseract combines XR and conversational AI to extend viewing time and deepen visitor inquiries in physical cultural heritage exhibitions."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.16972/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_title_agreement","ran_at":"2026-05-19T20:31:19.056855Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T20:10:47.948613Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"cited_work_retraction","ran_at":"2026-05-19T19:51:57.009558Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"citation_quote_validity","ran_at":"2026-05-19T19:50:07.822656Z","status":"skipped","version":"0.1.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T18:41:56.221908Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.308469Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"37fa6a6f2391deaa58982cddd2f8410ed6c5c947bfe1cba00ec9ee5adfd1fbfb"},"references":{"count":97,"sample":[{"doi":"","year":2021,"title":"Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, and Leonidas J Guibas. 2021. Artemis: Affective language for visual art. InProceedings of the IEEE/CVF Conference on Computer ","work_id":"4e203e31-28b2-4d04-9298-b5b4d185b75f","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"Nasim Ahmed, Peng Wu, Kaiming Huang, Sungchul Jung, Hansol Rheem, Gang Tan, Mahdi Imani, and Rifatul Islam. 2025. Human Task Performance and Associated Internal States in Extended Reality: A Systemati","work_id":"b4f56dac-59c4-480f-99dd-cbb52676be7d","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2022,"title":"Ahmed Alnagrat, Rizalafande Che Ismail, Syed Zulkarnain Syed Idrus, and Rawad Mansour Abdulhafith Alfaqi. 2022. A review of extended reality (XR) technologies in the future of human education: Current","work_id":"9290228f-5f9b-41d5-8f6a-dbee7e74cc8a","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":1969,"title":"1969.School learning: An introduction to educational psychology","work_id":"9169336e-77f5-47d8-a11c-601ec2bd97c6","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2018,"title":"Mafkereseb Kassahun Bekele, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, and James Gain. 2018. A survey of augmented, virtual, and mixed reality for cultural heritage.Journal on Comput","work_id":"4ef81f68-ab8a-42f4-bce9-9e3ae7848aa2","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":97,"snapshot_sha256":"27d6dfd1caa2d746e693f2fb0d5142aca6098a25dae97c8d7ce7196712c9accf","internal_anchors":3},"formal_canon":{"evidence_count":2,"snapshot_sha256":"eaeaba45234c250d04d85c82c0b307d9e86178ef6dd37c34924cbbee37b387ad"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}