{"id":"W4403717210","doi":"10.1145/3698128","title":"Planar or Spatial: Exploring Design Aspects and Challenges for Presentations in Virtual Reality with No-coding Interface","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Virtual reality; Human–computer interaction; Coding (social sciences); Interface (matter); Interface design; Computer science; Planar; Multimedia; Computer graphics (images); Sociology","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":[0.01151101,0.00116877,0.0004037001,0.001064905,0.001251639,0.007368639,0.002132065,0.001964025,0.003432663],"category_scores_gemma":[0.04543861,0.0006033855,0.0008060391,0.000783079,0.002863113,0.006487286,0.002890278,0.001483657,0.0007149823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268598,"about_ca_system_score_gemma":0.001456324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009395352,"about_ca_topic_score_gemma":0.00139565,"domain_scores_codex":[0.9862017,0.01010934,0.0005986001,0.0006739406,0.001930514,0.0004859126],"domain_scores_gemma":[0.9698996,0.02128012,0.00167204,0.002474769,0.003812785,0.0008607522],"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":[0.0008729659,0.0004538975,0.01153797,0.004958615,0.0001232423,0.004890223,0.1709219,0.01260064,0.1363068,0.08634868,0.007623699,0.5633614],"study_design_scores_gemma":[0.0004251699,0.00508391,0.02198534,0.003871912,0.0006796036,0.01983639,0.1361277,0.1435451,0.1135563,0.09416822,0.4597186,0.001001815],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1968599,0.001423171,0.7735519,0.002791611,0.0002315154,0.0007752022,0.00007300355,0.002424231,0.02186941],"genre_scores_gemma":[0.6199828,0.001036785,0.37031,0.0005230828,0.00009735799,0.0005196508,0.0001233873,0.0006912968,0.006715725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01151101,"threshold_uncertainty_score":0.06087679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2535664787592025,"score_gpt":0.3666631741522513,"score_spread":0.1130966953930488,"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."}}