{"id":"W2094273208","doi":"10.1145/2512349.2512404","title":"Investigating attraction and engagement of animation on large interactive walls in public settings","year":2013,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Animation; Computer science; Context (archaeology); Notice; Interactive design; Entertainment; Multimedia; Plan (archaeology); Human–computer interaction; Attraction; World Wide Web; Computer graphics (images); Visual arts","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001835508,0.0003315858,0.0003825033,0.001132756,0.001139272,0.001969171,0.0004883042,0.0007282371,0.003968942],"category_scores_gemma":[0.01117729,0.0003744008,0.0003216576,0.0006502253,0.0009225625,0.001356247,0.001545291,0.0006316123,0.0003288425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006475152,"about_ca_system_score_gemma":0.0003215598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012365,"about_ca_topic_score_gemma":0.004455472,"domain_scores_codex":[0.9981118,0.001156418,0.00006265532,0.0001651302,0.0002683064,0.0002356103],"domain_scores_gemma":[0.9879045,0.009495349,0.0007789363,0.0004929185,0.0007934178,0.0005349133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003843599,0.004635074,0.4183777,0.002039344,0.0003014238,0.002047698,0.2206103,0.006852541,0.167307,0.007011286,0.002920799,0.1640533],"study_design_scores_gemma":[0.000152239,0.004595257,0.864897,0.000263254,0.0002052077,0.0007905085,0.0738249,0.0148716,0.02704115,0.001425823,0.01175324,0.0001799731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944907,0.00003249972,0.001312191,0.00003240082,0.000003547418,0.00005830851,0.00004459903,0.00002588468,0.00399967],"genre_scores_gemma":[0.9965258,0.00003582624,0.002029028,0.00001777342,0.000005832025,0.00009647979,0.00005508845,0.00001519077,0.001218998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003968942,"threshold_uncertainty_score":0.01327747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771856638740104,"score_gpt":0.2748764541552122,"score_spread":0.2471578877678111,"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."}}