{"id":"W2789491376","doi":"10.3390/mti1040031","title":"Use of Haptics to Promote Learning Outcomes in Serious Games","year":2017,"lang":"en","type":"article","venue":"Multimodal Technologies and Interaction","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Computer science; Human–computer interaction; Feeling; Serious game; Multimedia; Psychology; Artificial intelligence; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002530244,0.0001121877,0.0001809006,0.0002172146,0.0002123527,0.0001637929,0.0001835856,0.00009741743,0.000009326096],"category_scores_gemma":[0.004359314,0.00009597667,0.00003984792,0.00005996549,0.00009929815,0.0008000631,0.0001846996,0.0003504996,0.00001367566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000366939,"about_ca_system_score_gemma":0.00000480429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005259111,"about_ca_topic_score_gemma":0.0001917875,"domain_scores_codex":[0.9992704,0.00002029235,0.0002046573,0.0002566397,0.00008645839,0.0001615927],"domain_scores_gemma":[0.9992928,0.0001469567,0.000184338,0.0003226035,0.00003183692,0.00002149161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007430428,0.0000968045,0.03438335,0.0000112813,0.000005760785,0.00001365779,0.0003167955,0.0003634037,0.6276942,0.0002080317,0.00002525113,0.3368072],"study_design_scores_gemma":[0.0002653245,0.0003326933,0.06133267,0.00008877466,0.000006989997,0.00003154931,0.00161554,0.0195684,0.8956016,0.0001834454,0.02077799,0.0001950093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997192,0.000001888777,0.000100069,0.001631635,0.0003763546,0.0001994791,0.000005679482,0.0001894219,0.0003034931],"genre_scores_gemma":[0.9981802,0.0001100027,0.001116662,0.00004117855,0.000006847877,0.00001809616,3.825697e-7,0.00000949993,0.0005172029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3366121,"threshold_uncertainty_score":0.5218821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07905146470043457,"score_gpt":0.3397652513841308,"score_spread":0.2607137866836963,"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."}}