{"id":"W4390125320","doi":"10.18280/isi.280630","title":"Enhancing Human-Computer Interaction: A Comprehensive Analysis of Assistive Virtual Keyboard Technologies","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human–computer interaction; Assistive technology; Computer science; Multimedia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006915949,0.0005919755,0.0004414439,0.004857372,0.0005139795,0.003015048,0.0003314126,0.0005378541,0.001328061],"category_scores_gemma":[0.002267445,0.0001652056,0.0004047194,0.002174906,0.0006757563,0.002675252,0.0009083179,0.000427053,0.0002449072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000823507,"about_ca_system_score_gemma":0.0009368691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323155,"about_ca_topic_score_gemma":0.001756979,"domain_scores_codex":[0.9990529,0.000258113,0.00007369792,0.0000835408,0.0004628754,0.00006869618],"domain_scores_gemma":[0.9985148,0.0009074259,0.0001251224,0.00005983924,0.0003528094,0.00003994716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001477111,0.0001634843,0.01258538,0.004303139,0.0001764904,0.0004277809,0.005943913,0.00599164,0.01387985,0.05388132,0.003465128,0.8990341],"study_design_scores_gemma":[0.00003745815,0.00250047,0.2842636,0.01143628,0.001071327,0.008952138,0.02679787,0.05540291,0.0442824,0.09113517,0.4737757,0.0003446914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3809962,0.2743123,0.1737714,0.00293299,0.0002396101,0.0006151056,0.0006757724,0.0006134422,0.1658432],"genre_scores_gemma":[0.8287959,0.1070117,0.05449809,0.0004440222,0.0001545568,0.0002340977,0.0004584753,0.00009535315,0.008307804],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004857372,"threshold_uncertainty_score":0.005975008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03983412714086952,"score_gpt":0.2973044237530829,"score_spread":0.2574702966122133,"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."}}