{"id":"W4385219768","doi":"10.1145/3584931.3607017","title":"Affective Affordance of Message Balloon Animations: An Early Exploration of AniBalloons","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Digital Communication and Language","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"","keywords":"Affordance; Nonverbal communication; Animation; Expression (computer science); Computer science; Emotional expression; Multimedia; Human–computer interaction; Affective computing; Motion (physics); Cognitive psychology; Psychology; Communication; 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":[0.0008891993,0.0005113137,0.0002080163,0.0004002435,0.0003634783,0.0009510262,0.0004486217,0.0004066892,0.004306232],"category_scores_gemma":[0.003532964,0.0001655582,0.0002482079,0.0001955805,0.0006119889,0.001190452,0.000890284,0.0004319394,0.0004343399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919733,"about_ca_system_score_gemma":0.0001347732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002033672,"about_ca_topic_score_gemma":0.0004228933,"domain_scores_codex":[0.9996474,0.000216129,0.00001116731,0.00003077543,0.00006234661,0.00003219902],"domain_scores_gemma":[0.9983609,0.001242823,0.00005293372,0.0001164012,0.0001313035,0.00009557509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001751472,0.0003364464,0.005166327,0.003182118,0.00006881435,0.002481733,0.02638878,0.006143604,0.5804662,0.02634426,0.004059846,0.3436104],"study_design_scores_gemma":[0.0003991787,0.005632401,0.04212657,0.002206778,0.0003925273,0.008239455,0.01719652,0.1436909,0.3461436,0.02837602,0.405213,0.000382962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7195347,0.003232562,0.2415905,0.000859612,0.0003950008,0.0005539971,0.0002770863,0.00164439,0.03191214],"genre_scores_gemma":[0.9043401,0.0009079101,0.08694216,0.0001475224,0.00007540335,0.0002542631,0.0001347573,0.0002070396,0.00699092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004306232,"threshold_uncertainty_score":0.01440579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07632583493020038,"score_gpt":0.3166511360342842,"score_spread":0.2403253011040838,"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."}}