{"id":"W2136902017","doi":"10.1007/978-3-540-73110-8_30","title":"Can Virtual Humans Be More Engaging Than Real Ones?","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Research, Development and Engineering Command","keywords":"Computer science; Active listening; Feeling; Phenomenon; Social connectedness; Simple (philosophy); Negotiation; Human–computer interaction; Face-to-face interaction; Character (mathematics); Face (sociological concept); Instant messaging; Virtual actor; Multimedia; Cognitive psychology; Internet privacy; Psychology; Social psychology; Communication; Virtual reality; World Wide Web; Epistemology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008879618,0.0004638825,0.000434935,0.000751555,0.0003004773,0.0001403617,0.0009653008,0.0004507684,0.0003956357],"category_scores_gemma":[0.00004045265,0.0004195123,0.0001451678,0.0003052017,0.0008071818,0.0001132866,0.00024248,0.001173586,0.0000621951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001873898,"about_ca_system_score_gemma":0.0001682387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006224907,"about_ca_topic_score_gemma":0.002017735,"domain_scores_codex":[0.9969075,0.00005904491,0.0004028789,0.00118906,0.0007324129,0.0007091607],"domain_scores_gemma":[0.9983068,0.0003542536,0.0002091047,0.0008312285,0.000141751,0.0001568717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005427741,0.0000853837,0.0003936399,0.00002890635,0.00006478774,0.0008450556,0.03667384,0.0005355842,0.000254667,0.0451059,0.0001334665,0.9158245],"study_design_scores_gemma":[0.01412444,0.00725794,0.06440781,0.006314685,0.001281388,0.003124169,0.001109643,0.02633197,0.01162312,0.7827089,0.05961695,0.02209902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0251172,0.0005404591,0.8381711,0.0009414081,0.006321224,0.0006106546,0.00005891268,0.0002849868,0.1279541],"genre_scores_gemma":[0.9796179,0.000037135,0.007378091,0.006577819,0.002350047,0.000009167327,0.00008014703,0.00007434361,0.003875358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9545007,"threshold_uncertainty_score":0.9998257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567621945447354,"score_gpt":0.3097197950192084,"score_spread":0.2740435755647349,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}