{"id":"W4225012855","doi":"10.1145/3491102.3501934","title":"”Chat Has No Chill”: A Novel Physiological Interaction For Engaging Live Streaming Audiences","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modalities; Context (archaeology); Audience participation; Computer science; Commons; Modality (human–computer interaction); Multimedia; Live streaming; User engagement; Human–computer interaction; World Wide Web; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006988118,0.0007800285,0.0002837824,0.0004255259,0.0005610681,0.001153546,0.0008724894,0.0009743403,0.004299602],"category_scores_gemma":[0.002857135,0.0001578286,0.0003462782,0.0001278307,0.0006878174,0.001056176,0.002336425,0.0006197297,0.0008581157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496249,"about_ca_system_score_gemma":0.0002005585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002805267,"about_ca_topic_score_gemma":0.0008838856,"domain_scores_codex":[0.9995213,0.0002328038,0.00001621073,0.0000863319,0.00008781604,0.0000555487],"domain_scores_gemma":[0.999055,0.0005197722,0.00005551628,0.0000536147,0.00006376972,0.0002524548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003910753,0.002025088,0.01977435,0.002672901,0.0002793178,0.007002416,0.04990985,0.002045911,0.6311308,0.005894461,0.01696295,0.2583912],"study_design_scores_gemma":[0.002135294,0.02613789,0.2648647,0.001794669,0.00140711,0.03673533,0.06102233,0.09313,0.1999584,0.02649662,0.2851509,0.001166889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8606246,0.0007544087,0.1079158,0.001284468,0.0006509547,0.0007927691,0.0004793245,0.002367029,0.02513074],"genre_scores_gemma":[0.914838,0.0004168653,0.06967704,0.0009179714,0.0003572875,0.0009062662,0.0003547952,0.0002270737,0.01230467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004299602,"threshold_uncertainty_score":0.01438361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3476178426934478,"score_gpt":0.3597975014250557,"score_spread":0.01217965873160798,"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."}}