{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:4A3B2LECNIVBDOA3OCOKWNXIOP","short_pith_number":"pith:4A3B2LEC","schema_version":"1.0","canonical_sha256":"e0361d2c826a2a11b81b709cab36e873e8891e9b542d7e2408597795251eed63","source":{"kind":"arxiv","id":"2408.16625","version":1},"attestation_state":"computed","paper":{"title":"MultiMediate'24: Multi-Domain Engagement Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Alexander Heimerl, Andreas Bulling, Anna Penzkofer, Dominik Schiller, Elisabeth Andr\\'e, Fran\\c{c}ois Br\\'emond, Jan Alexandersson, Michael Dietz, Michal Balazia, Philipp M\\\"uller, Tobias Baur","submitted_at":"2024-08-29T15:34:25Z","abstract_excerpt":"Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task in within-domain evaluation scenarios, i.e. training and testing on the same dataset. This is in contrast to real-life scenarios where domain shifts between training and testing data frequently occur. With MultiMediate'24, we present the first challenge addressing multi-domain engagement estimation. As training data, we utilise the NOXI database of dyadic novice-expert interactions. In addition to within-domain test"},"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":"2408.16625","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2024-08-29T15:34:25Z","cross_cats_sorted":[],"title_canon_sha256":"5d9e3898af894ad82c8a1bb6e35eccbf3358f622a12ac95ccaaa14ddef01fccf","abstract_canon_sha256":"d8e768ad008a7e570efdac7811fd21aecb75cf2ae0740b8bee511df096f42fe0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:00:44.202488Z","signature_b64":"OWo7mOS+/jImXNnhTfngw5zdSsPlSiPo7DTSdMcvLY8oCBKxR/vGzqJAqcEfyJQhNtPBUeWcx6b9z1GCdFnhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0361d2c826a2a11b81b709cab36e873e8891e9b542d7e2408597795251eed63","last_reissued_at":"2026-07-05T09:00:44.202063Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:00:44.202063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MultiMediate'24: Multi-Domain Engagement Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Alexander Heimerl, Andreas Bulling, Anna Penzkofer, Dominik Schiller, Elisabeth Andr\\'e, Fran\\c{c}ois Br\\'emond, Jan Alexandersson, Michael Dietz, Michal Balazia, Philipp M\\\"uller, Tobias Baur","submitted_at":"2024-08-29T15:34:25Z","abstract_excerpt":"Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task in within-domain evaluation scenarios, i.e. training and testing on the same dataset. This is in contrast to real-life scenarios where domain shifts between training and testing data frequently occur. With MultiMediate'24, we present the first challenge addressing multi-domain engagement estimation. As training data, we utilise the NOXI database of dyadic novice-expert interactions. In addition to within-domain test"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.16625","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/2408.16625/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":"2408.16625","created_at":"2026-07-05T09:00:44.202120+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.16625v1","created_at":"2026-07-05T09:00:44.202120+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.16625","created_at":"2026-07-05T09:00:44.202120+00:00"},{"alias_kind":"pith_short_12","alias_value":"4A3B2LECNIVB","created_at":"2026-07-05T09:00:44.202120+00:00"},{"alias_kind":"pith_short_16","alias_value":"4A3B2LECNIVBDOA3","created_at":"2026-07-05T09:00:44.202120+00:00"},{"alias_kind":"pith_short_8","alias_value":"4A3B2LEC","created_at":"2026-07-05T09:00:44.202120+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/4A3B2LECNIVBDOA3OCOKWNXIOP","json":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP.json","graph_json":"https://pith.science/api/pith-number/4A3B2LECNIVBDOA3OCOKWNXIOP/graph.json","events_json":"https://pith.science/api/pith-number/4A3B2LECNIVBDOA3OCOKWNXIOP/events.json","paper":"https://pith.science/paper/4A3B2LEC"},"agent_actions":{"view_html":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP","download_json":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP.json","view_paper":"https://pith.science/paper/4A3B2LEC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.16625&json=true","fetch_graph":"https://pith.science/api/pith-number/4A3B2LECNIVBDOA3OCOKWNXIOP/graph.json","fetch_events":"https://pith.science/api/pith-number/4A3B2LECNIVBDOA3OCOKWNXIOP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP/action/storage_attestation","attest_author":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP/action/author_attestation","sign_citation":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP/action/citation_signature","submit_replication":"https://pith.science/pith/4A3B2LECNIVBDOA3OCOKWNXIOP/action/replication_record"}},"created_at":"2026-07-05T09:00:44.202120+00:00","updated_at":"2026-07-05T09:00:44.202120+00:00"}