{"id":"W4383682964","doi":"10.1145/3563657.3596099","title":"Multimodal Direct Manipulation in Video Conferencing: Challenges and Opportunities","year":2023,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Gesture; Modality (human–computer interaction); Multimedia; Human–computer interaction; Usability; Videoconferencing; Popularity; Embodied cognition; Component (thermodynamics); Teleconference; Augmented reality; Interactive media; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004404038,0.0006115458,0.0004068654,0.0004614501,0.0008191051,0.003903197,0.001390968,0.001142453,0.005106905],"category_scores_gemma":[0.008944534,0.0002834633,0.0002713636,0.0004752215,0.002504106,0.0037138,0.002724967,0.001018543,0.0008510919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668111,"about_ca_system_score_gemma":0.0005450685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006105312,"about_ca_topic_score_gemma":0.001002925,"domain_scores_codex":[0.9963881,0.002435722,0.0001008023,0.0002064638,0.0007131604,0.0001557717],"domain_scores_gemma":[0.9951125,0.003479753,0.0002347343,0.0005436845,0.0004276359,0.0002016407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004046949,0.0003459727,0.003193138,0.00204946,0.00006156227,0.0006028889,0.009240406,0.01187859,0.1201742,0.1020304,0.004196058,0.7458227],"study_design_scores_gemma":[0.0002123761,0.004850773,0.01298672,0.003427705,0.0003001339,0.008331178,0.03279484,0.1844458,0.2196462,0.183236,0.3490297,0.0007386269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2393041,0.02235802,0.6523719,0.005884045,0.0004192162,0.0004042054,0.0001107917,0.001442327,0.07770536],"genre_scores_gemma":[0.8096457,0.007682293,0.1742509,0.0003358929,0.0003454675,0.0002718577,0.00006554184,0.0002267848,0.007175638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005106905,"threshold_uncertainty_score":0.02329105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.278269350060696,"score_gpt":0.3673489412130724,"score_spread":0.08907959115237635,"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."}}