{"id":"W2346204935","doi":"10.1145/2851581.2856506","title":"Designing Speech and Multimodal Interactions for Mobile, Wearable, and Pervasive Applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto","funders":"","keywords":"Human–computer interaction; Computer science; Multimodal interaction; Modalities; Wearable computer; Gesture; Usability; Wearable technology; Leverage (statistics); Modality (human–computer interaction); Multidisciplinary approach; Mobile device; Ubiquitous computing; Multimedia; Artificial intelligence; World Wide Web; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004460215,0.001339809,0.0006387046,0.0006736339,0.001075426,0.00278268,0.001154709,0.00174821,0.006066279],"category_scores_gemma":[0.00704867,0.0008564378,0.0009435051,0.000287375,0.001389068,0.00351778,0.002094795,0.001117751,0.001800428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119689,"about_ca_system_score_gemma":0.0008319261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005812764,"about_ca_topic_score_gemma":0.001287389,"domain_scores_codex":[0.997638,0.001482546,0.0001384296,0.0002176424,0.0003979194,0.0001254473],"domain_scores_gemma":[0.9978377,0.001512329,0.00007871638,0.0001065333,0.0003303179,0.0001343772],"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":[0.0005408252,0.0003712899,0.002155948,0.003750487,0.0002939269,0.002014955,0.02384653,0.02597183,0.3406969,0.05552525,0.02018385,0.5246482],"study_design_scores_gemma":[0.0004000404,0.002105931,0.006713952,0.001260864,0.0007229359,0.00346106,0.01597177,0.2625059,0.1656305,0.06578828,0.4749808,0.0004579349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03293287,0.002365115,0.953435,0.001319066,0.0001909921,0.0005344846,0.00006940071,0.001295078,0.007857891],"genre_scores_gemma":[0.1885155,0.002784528,0.7971875,0.0005553426,0.000159104,0.001145464,0.0001998544,0.0005325543,0.008920079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006066279,"threshold_uncertainty_score":0.02358818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680328078213347,"score_gpt":0.2661417689097398,"score_spread":0.2493384881276064,"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."}}