{"id":"W4307485608","doi":"10.1145/3526114.3558699","title":"Wemoji: Towards Designing Complementary Communication Systems in Augmented Reality","year":2022,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Augmented reality; Computer science; Set (abstract data type); Human–computer interaction; Complement (music); Face (sociological concept); Dimension (graph theory); Space (punctuation); Volume (thermodynamics); Multimedia; Theoretical computer science; Mathematics; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002494979,0.001550679,0.0004873038,0.0006704981,0.001114218,0.004579536,0.00172926,0.002004861,0.005144624],"category_scores_gemma":[0.004884372,0.0007316676,0.001066866,0.0003792385,0.002284411,0.003686989,0.004291053,0.001550573,0.001214667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587113,"about_ca_system_score_gemma":0.001200741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304769,"about_ca_topic_score_gemma":0.002046268,"domain_scores_codex":[0.9977275,0.0008930052,0.0001236115,0.000289332,0.0006863007,0.0002803562],"domain_scores_gemma":[0.998211,0.0007274876,0.0001508783,0.000321118,0.000419968,0.0001695489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006141698,0.0006263692,0.004431722,0.00377707,0.0003302447,0.001673706,0.03884569,0.03199508,0.2240287,0.2568364,0.0137025,0.4231384],"study_design_scores_gemma":[0.0002557721,0.002243621,0.004842394,0.001582501,0.0006266819,0.003332027,0.01458945,0.175661,0.1225435,0.08434984,0.5894658,0.0005074569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03380723,0.0006820761,0.9468738,0.0006408564,0.0001636291,0.0003815108,0.00006437239,0.001560701,0.01582577],"genre_scores_gemma":[0.2124849,0.0006845614,0.7749257,0.0003575467,0.0000394865,0.0008104415,0.0001675663,0.0003227119,0.01020709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005144624,"threshold_uncertainty_score":0.01721048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0774031294487752,"score_gpt":0.3295889986784754,"score_spread":0.2521858692297002,"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."}}