{"id":"W2150284048","doi":"10.1109/haptic.2010.5444662","title":"Emulating human attention-getting practices with wearable haptics","year":2010,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human–computer interaction; Wearable computer; Haptic technology; Computer science; Fidelity; Intrusiveness; Situated; Brainstorming; Wearable technology; Multimedia; Simulation; Artificial intelligence; Psychology","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":[0.00090951,0.0005017364,0.0002273592,0.0002306479,0.0001985228,0.0009252417,0.0008247749,0.0005720895,0.002954221],"category_scores_gemma":[0.004590145,0.000232931,0.0002892323,0.00009445541,0.0009714753,0.0009893978,0.00167477,0.0004436022,0.0003462445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616703,"about_ca_system_score_gemma":0.0001508676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434207,"about_ca_topic_score_gemma":0.0001622592,"domain_scores_codex":[0.9993598,0.0002837232,0.00003885934,0.00007029677,0.0001764367,0.00007088467],"domain_scores_gemma":[0.998504,0.001058443,0.00009429648,0.0001746356,0.00009557103,0.00007310521],"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":[0.0009416458,0.0003886874,0.001601288,0.0009363221,0.00004719438,0.0008601517,0.005571325,0.005874677,0.9075752,0.004676007,0.0005933683,0.07093407],"study_design_scores_gemma":[0.0008265206,0.01390371,0.02466136,0.0005513775,0.0002790038,0.004476586,0.005169653,0.07010876,0.8299207,0.009736997,0.0400178,0.0003475641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805289,0.0002580649,0.1123748,0.0002507163,0.000129858,0.0002454402,0.00006185257,0.0004887711,0.005661615],"genre_scores_gemma":[0.9526123,0.0001995486,0.04437375,0.0001079841,0.00002322109,0.0001648574,0.00003107443,0.00004968049,0.002437675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002954221,"threshold_uncertainty_score":0.009882808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06135898041434593,"score_gpt":0.3415566458340642,"score_spread":0.2801976654197182,"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."}}