{"id":"W4403530931","doi":"10.1016/j.ijhcs.2024.103365","title":"AniBalloons: Animated chat balloons as affective augmentation for social messaging and chatbot interaction","year":2024,"lang":"en","type":"article","venue":"International Journal of Human-Computer Studies","topic":"Digital Communication and Language","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Chatbot; Human–computer interaction; Computer science; World Wide Web; Psychology; Multimedia; Communication","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":[0.0008078864,0.0006940822,0.000219226,0.0004388815,0.0004956219,0.0009812349,0.000594786,0.0006375214,0.009582031],"category_scores_gemma":[0.003918351,0.0002208429,0.0003659377,0.0001637151,0.000534691,0.001149388,0.001605955,0.0006514517,0.001097892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001955113,"about_ca_system_score_gemma":0.0002076614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002207513,"about_ca_topic_score_gemma":0.0005681587,"domain_scores_codex":[0.9996098,0.0002168441,0.00001647853,0.00004898057,0.00007021136,0.00003778566],"domain_scores_gemma":[0.9980456,0.001360529,0.0001014141,0.0001660055,0.0001099466,0.000216584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003391407,0.001350206,0.008246297,0.003986508,0.0001529926,0.001963858,0.02613958,0.008060747,0.4733938,0.02506014,0.02225948,0.425995],"study_design_scores_gemma":[0.001265009,0.009176648,0.05659764,0.002219443,0.0007824827,0.00484981,0.01235939,0.1655093,0.1564241,0.03543729,0.5547134,0.0006655979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173524,0.002390547,0.3219203,0.0009060465,0.001124781,0.001574283,0.000745215,0.008843754,0.04514268],"genre_scores_gemma":[0.8250384,0.0006259628,0.1551625,0.0004650727,0.000136982,0.001328477,0.000465484,0.0007394421,0.01603765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009582031,"threshold_uncertainty_score":0.03205514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05879411600314563,"score_gpt":0.4205125607095505,"score_spread":0.3617184447064048,"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."}}