{"id":"W3030868253","doi":"10.1145/3313831.3376481","title":"FaceHaptics: Robot Arm based Versatile Facial Haptics for Immersive Environments","year":2020,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Computer science; Virtual reality; Computer vision; Robot; Optical head-mounted display; Artificial intelligence; Software walkthrough; Robotic arm; Head (geology); Mount; Human–computer interaction; Computer graphics (images); Software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005863672,0.0001083001,0.0001139458,0.00002385808,0.0001066463,0.00008204404,0.0004773286,0.00004875731,0.0000758397],"category_scores_gemma":[0.00006255001,0.0001024754,0.00006847333,0.0001225819,0.0000344675,0.0002154497,0.0001057741,0.00005917811,0.0002230523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004166021,"about_ca_system_score_gemma":0.00005501173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000129148,"about_ca_topic_score_gemma":0.000001711278,"domain_scores_codex":[0.9991406,0.00001217356,0.0001517267,0.000288402,0.0001839031,0.0002231547],"domain_scores_gemma":[0.9993483,0.00007985016,0.0000551508,0.0002800583,0.00001886437,0.0002177221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001830604,0.001398906,0.0003292355,0.0001250204,0.0002639527,0.00001032017,0.01053948,0.04478193,0.2690602,0.4570544,0.04612107,0.1701324],"study_design_scores_gemma":[0.0008752592,0.0005018103,0.0003005903,0.000002549423,0.00001429187,3.60788e-7,0.0002088055,0.8445614,0.04037407,0.0008854706,0.1120464,0.0002289295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006013617,0.000006267318,0.9882891,0.008944488,0.00004782793,0.0003519022,0.00003023393,0.00002882477,0.001699955],"genre_scores_gemma":[0.9162658,0.000004745223,0.07794686,0.005485925,0.0000513676,0.00003605505,0.00001792089,0.000008622123,0.0001826505],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9156645,"threshold_uncertainty_score":0.4178826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05090235934966025,"score_gpt":0.2631645797881494,"score_spread":0.2122622204384891,"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."}}