{"id":"W1550585620","doi":"10.1109/hicss.2015.138","title":"Interactivity in Visual Analytics: Use of Conceptual Frameworks to Support Human-Centered Design of a Decision-Support Tool","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interactivity; Visual analytics; Computer science; Human–computer interaction; Analytics; Visualization; Data science; Conceptual framework; Component (thermodynamics); Knowledge management; 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":[0.0007510572,0.0001593303,0.000404059,0.0003929424,0.00001903587,0.0001076444,0.0007397068,0.0001329115,0.0002250207],"category_scores_gemma":[0.0009004049,0.000145577,0.00007156144,0.0008212919,0.0001068572,0.001055055,0.0005374794,0.0001839058,0.00004417855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006401438,"about_ca_system_score_gemma":0.0002630273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007034453,"about_ca_topic_score_gemma":0.00005272384,"domain_scores_codex":[0.9979362,0.0001304402,0.0007710713,0.0003725762,0.0005453365,0.0002443387],"domain_scores_gemma":[0.9981803,0.0003908469,0.0002325051,0.0006002766,0.0003948797,0.0002011877],"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":[0.001194025,0.0112139,0.1262763,0.0001242265,0.000478947,0.000494696,0.03376502,0.06681028,0.007940824,0.3131887,0.2955553,0.1429578],"study_design_scores_gemma":[0.002835672,0.003094595,0.003840906,0.0002400814,0.00003637955,0.0000188692,0.001612408,0.9674008,0.01175232,0.002318324,0.006107506,0.0007421593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07945491,0.000001270498,0.9199237,0.00005419374,0.0001315485,0.0001950436,0.00001624897,0.00003313355,0.0001899994],"genre_scores_gemma":[0.890798,0.000002251928,0.1081686,0.0007203096,0.0000141348,0.000003440782,0.00001941684,0.000008942925,0.0002648278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9005905,"threshold_uncertainty_score":0.5936457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571775434330571,"score_gpt":0.3975834174929466,"score_spread":0.2404058740598894,"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."}}