{"id":"W3036364918","doi":"10.1145/3391614.3399392","title":"Talk Like Somebody is Watching: Understanding and Supporting Novice Live Streamers","year":2020,"lang":"en","type":"article","venue":"ACM International Conference on Interactive Media Experiences","topic":"Digital Games and Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Human multitasking; Live streaming; Computer science; Audience participation; Multimedia; Human–computer interaction; Chatbot; World Wide Web; Psychology","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":[0.001302461,0.0007763911,0.0003037763,0.0005696032,0.0007792985,0.001462684,0.001277791,0.001177436,0.00459011],"category_scores_gemma":[0.00563129,0.0003216551,0.0003085392,0.0001250419,0.0008489006,0.001767576,0.002046697,0.001191296,0.001262732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005265272,"about_ca_system_score_gemma":0.0008001679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485289,"about_ca_topic_score_gemma":0.006987154,"domain_scores_codex":[0.9992766,0.0002918803,0.00002916119,0.0001588682,0.0001004313,0.0001431311],"domain_scores_gemma":[0.9969296,0.001242917,0.0002744427,0.0001285811,0.0003197203,0.001104895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002630203,0.01532689,0.1742765,0.002370121,0.000129651,0.004975298,0.368728,0.005084722,0.1377248,0.001905198,0.01678688,0.2700617],"study_design_scores_gemma":[0.0008931128,0.01995837,0.2829362,0.001542385,0.0004345043,0.005012789,0.4287098,0.0618616,0.0630052,0.01207699,0.1229335,0.0006356435],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891719,0.00008352283,0.006415876,0.0003132971,0.00002522629,0.0001593766,0.0001066948,0.000270187,0.003453976],"genre_scores_gemma":[0.9765084,0.0002451937,0.01651894,0.0003568017,0.00003420936,0.000208019,0.0003131882,0.00008313925,0.005731977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00459011,"threshold_uncertainty_score":0.01535547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193199321640047,"score_gpt":0.380208199088611,"score_spread":0.2608882669246063,"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."}}