{"id":"W2037205988","doi":"10.1109/tvcg.2012.204","title":"Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Interactivity; Human–computer interaction; Visualization; Pointer (user interface); Data science; Interaction design; Data visualization; Information visualization; World Wide Web; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004293977,0.0002567836,0.000217863,0.0007665313,0.0008275752,0.0007298252,0.0001392836,0.000116009,0.00001578645],"category_scores_gemma":[0.00002849145,0.0002703908,0.00007338211,0.0006562233,0.00007991947,0.0036671,0.00001084779,0.0001235075,0.000009129191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003842827,"about_ca_system_score_gemma":0.00004886074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000644178,"about_ca_topic_score_gemma":0.000007531385,"domain_scores_codex":[0.9984487,0.0001641688,0.0005083962,0.0003005242,0.0002697708,0.0003084261],"domain_scores_gemma":[0.9985504,0.000434567,0.0001959192,0.0002766343,0.0003070413,0.0002353946],"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":[0.00001368826,0.0002099979,0.00005776967,0.00004728397,0.00005542369,2.107035e-7,0.002950637,0.0009768786,0.0000541227,0.9908313,0.001344834,0.003457838],"study_design_scores_gemma":[0.0008309058,0.0001753795,0.00008069405,0.00003161118,0.00005503173,0.00003490689,0.0001545512,0.9878178,0.004228714,0.002557823,0.003680207,0.0003524369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0011283,0.00003211503,0.9969446,0.0001052221,0.0008352812,0.0005381944,0.00005160184,0.0003158551,0.0000488082],"genre_scores_gemma":[0.9701546,0.0003610461,0.02522261,0.003759908,0.0001320717,0.0001251628,0.000112145,0.00003208756,0.0001003408],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9882735,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117507242616682,"score_gpt":0.3134194433823437,"score_spread":0.2722443709561769,"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."}}