{"id":"W4402509895","doi":"10.1109/tvcg.2024.3456319","title":"User Experience of Visualizations in Motion: A Case Study and Design Considerations","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Digital Games and Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Human–computer interaction; Visualization; Task (project management); Set (abstract data type); Context (archaeology); Motion (physics); Focus (optics); Information visualization; Data visualization; Multimedia; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002500094,0.00009509064,0.0001213527,0.0003569396,0.0001968975,0.0002169993,0.0000320796,0.00006058209,0.00002715238],"category_scores_gemma":[0.00000920659,0.00009724373,0.00002831779,0.0007456807,0.0002100356,0.0003496632,0.000001707389,0.00007519438,7.303095e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508984,"about_ca_system_score_gemma":0.00007433585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002704699,"about_ca_topic_score_gemma":0.001869055,"domain_scores_codex":[0.9990355,0.000194545,0.0002453117,0.0002286983,0.0001834292,0.0001125094],"domain_scores_gemma":[0.9994613,0.0002562325,0.00002878063,0.00007979354,0.00008755925,0.00008635256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000111314,0.0009413668,0.001000433,0.00005715686,0.00005319373,0.0002577279,0.252863,0.001000259,0.00000623185,0.7165089,0.00007750375,0.02722308],"study_design_scores_gemma":[0.001727867,0.001152975,0.001197208,0.0003901051,0.0001631252,0.0004426926,0.0903763,0.8931671,0.0003883768,0.002861332,0.007384412,0.0007484935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1726787,0.0000779402,0.8262849,0.00003943886,0.0003084464,0.000403343,0.00000617263,0.00007268495,0.0001283756],"genre_scores_gemma":[0.9991508,0.0002646094,0.0002018692,0.0001217346,0.00002525818,0.00004471645,0.000001077994,0.000009844684,0.0001800483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8921669,"threshold_uncertainty_score":0.3965484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05343574540420929,"score_gpt":0.355833184867077,"score_spread":0.3023974394628677,"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."}}