{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:7AZDDTWSF6ZWK5FXRC3KURNFQL","short_pith_number":"pith:7AZDDTWS","schema_version":"1.0","canonical_sha256":"f83231ced22fb36574b788b6aa45a582fbd62c3ed34cb030ec282084d08c6624","source":{"kind":"arxiv","id":"2010.06152","version":1},"attestation_state":"computed","paper":{"title":"Real-Time Detection of Simulator Sickness in Virtual Reality Games Based on Players' Psychophysiological Data during Gameplay","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Diego Monteiro, Hai-Ning Liang, Hao Chen, Jialin Wang, Qiwen Chen, Wenge Xu","submitted_at":"2020-10-13T03:53:07Z","abstract_excerpt":"Virtual Reality (VR) technology has been proliferating in the last decade, especially in the last few years. However, Simulator Sickness (SS) still represents a significant problem for its wider adoption. Currently, the most common way to detect SS is using the Simulator Sickness Questionnaire (SSQ). SSQ is a subjective measurement and is inadequate for real-time applications such as VR games. This research aims to investigate how to use machine learning techniques to detect SS based on in-game characters' and users' physiological data during gameplay in VR games. To achieve this, we designed "},"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":"2010.06152","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2020-10-13T03:53:07Z","cross_cats_sorted":[],"title_canon_sha256":"34e3f016db0aba0a92874853c481f05144e3a6be7bb2dd4f06f2631723369046","abstract_canon_sha256":"8fc25351f9ee047f3bc75f922f1403184cad03c87d908725df522109f32e1606"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:42:24.473074Z","signature_b64":"UAfdYqVajEQWkQchve2X5OfOe18/DdIXQT3fbS/RgCRfV+6ptEKtVUu2f/ugUPMN76tXkc8nCJ5G+8tdk4NLCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f83231ced22fb36574b788b6aa45a582fbd62c3ed34cb030ec282084d08c6624","last_reissued_at":"2026-07-05T01:42:24.472702Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:42:24.472702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Real-Time Detection of Simulator Sickness in Virtual Reality Games Based on Players' Psychophysiological Data during Gameplay","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Diego Monteiro, Hai-Ning Liang, Hao Chen, Jialin Wang, Qiwen Chen, Wenge Xu","submitted_at":"2020-10-13T03:53:07Z","abstract_excerpt":"Virtual Reality (VR) technology has been proliferating in the last decade, especially in the last few years. However, Simulator Sickness (SS) still represents a significant problem for its wider adoption. Currently, the most common way to detect SS is using the Simulator Sickness Questionnaire (SSQ). SSQ is a subjective measurement and is inadequate for real-time applications such as VR games. This research aims to investigate how to use machine learning techniques to detect SS based on in-game characters' and users' physiological data during gameplay in VR games. To achieve this, we designed "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.06152","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/2010.06152/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":"2010.06152","created_at":"2026-07-05T01:42:24.472760+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.06152v1","created_at":"2026-07-05T01:42:24.472760+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.06152","created_at":"2026-07-05T01:42:24.472760+00:00"},{"alias_kind":"pith_short_12","alias_value":"7AZDDTWSF6ZW","created_at":"2026-07-05T01:42:24.472760+00:00"},{"alias_kind":"pith_short_16","alias_value":"7AZDDTWSF6ZWK5FX","created_at":"2026-07-05T01:42:24.472760+00:00"},{"alias_kind":"pith_short_8","alias_value":"7AZDDTWS","created_at":"2026-07-05T01:42:24.472760+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/7AZDDTWSF6ZWK5FXRC3KURNFQL","json":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL.json","graph_json":"https://pith.science/api/pith-number/7AZDDTWSF6ZWK5FXRC3KURNFQL/graph.json","events_json":"https://pith.science/api/pith-number/7AZDDTWSF6ZWK5FXRC3KURNFQL/events.json","paper":"https://pith.science/paper/7AZDDTWS"},"agent_actions":{"view_html":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL","download_json":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL.json","view_paper":"https://pith.science/paper/7AZDDTWS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.06152&json=true","fetch_graph":"https://pith.science/api/pith-number/7AZDDTWSF6ZWK5FXRC3KURNFQL/graph.json","fetch_events":"https://pith.science/api/pith-number/7AZDDTWSF6ZWK5FXRC3KURNFQL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL/action/storage_attestation","attest_author":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL/action/author_attestation","sign_citation":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL/action/citation_signature","submit_replication":"https://pith.science/pith/7AZDDTWSF6ZWK5FXRC3KURNFQL/action/replication_record"}},"created_at":"2026-07-05T01:42:24.472760+00:00","updated_at":"2026-07-05T01:42:24.472760+00:00"}