{"id":"W4411531707","doi":"10.3389/frvir.2025.1574965","title":"Exploring AR hand augmentations as error feedback mechanisms for enhancing gesture-based tutorials","year":2025,"lang":"en","type":"article","venue":"Frontiers in Virtual Reality","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundação para a Ciência e a Tecnologia; Carnegie Mellon Portugal","keywords":"Computer science; Task (project management); Gesture; Human–computer interaction; Corrective feedback; Replication (statistics); Visual feedback; Perception; Viewpoints; Artificial intelligence; Computer vision; Multimedia; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001195428,0.0002404758,0.0003895689,0.0003266584,0.0004514263,0.000226792,0.0009140797,0.000133284,0.000004575222],"category_scores_gemma":[0.0004794338,0.0002622981,0.0001349758,0.0009240703,0.0001155556,0.0006208036,0.0001806672,0.0002134161,0.000007061946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005673518,"about_ca_system_score_gemma":0.000455416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002935494,"about_ca_topic_score_gemma":0.0004725943,"domain_scores_codex":[0.9976273,0.0001881664,0.0006358442,0.000734758,0.0003532465,0.0004607502],"domain_scores_gemma":[0.9982721,0.0003744828,0.0001913207,0.0008966677,0.0001392012,0.0001262792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001669868,0.0005404727,0.0001730179,0.0001564273,0.0001701172,0.000005239467,0.002486994,0.02548719,0.01073707,0.8963355,0.0268147,0.03692623],"study_design_scores_gemma":[0.006063076,0.0004524578,0.004405431,0.0005218756,0.0001700363,0.000002312275,0.004003913,0.2233854,0.3091895,0.4068922,0.04361697,0.001296776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002786706,0.00003348932,0.9875234,0.004277554,0.003154398,0.001190878,0.00007288411,0.0001864509,0.0007742107],"genre_scores_gemma":[0.7763791,0.00004528454,0.2162429,0.002170477,0.0002158044,0.003612861,0.0001630472,0.00003788016,0.001132621],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7735924,"threshold_uncertainty_score":0.9999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06796242954548715,"score_gpt":0.3186274339153515,"score_spread":0.2506650043698643,"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."}}