{"id":"W3016114008","doi":"10.1145/3313831.3376280","title":"Defining Haptic Experience: Foundations for Understanding, Communicating, and Evaluating HX","year":2020,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Haptic technology; Computer science; Usability; Human–computer interaction; Heuristics; User experience design; Timbre; Experiential learning; Personalization; Multimedia; Simulation; Psychology; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01391911,0.00109515,0.0007450059,0.00569139,0.001614925,0.01061094,0.001464856,0.00301018,0.004370323],"category_scores_gemma":[0.04720036,0.0006965097,0.0008791107,0.002412807,0.01998703,0.0175715,0.004651221,0.002649073,0.0005601381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045814,"about_ca_system_score_gemma":0.003610441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003970027,"about_ca_topic_score_gemma":0.001800805,"domain_scores_codex":[0.9930243,0.003493472,0.001030619,0.0007128042,0.001339916,0.000398852],"domain_scores_gemma":[0.9712383,0.01886683,0.00327924,0.001964062,0.003805148,0.0008465083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001226745,0.0001785616,0.01415004,0.00223197,0.00008274098,0.0004309776,0.05861599,0.003599509,0.004813849,0.7755589,0.001640993,0.1385738],"study_design_scores_gemma":[0.00005557705,0.0004113286,0.02921274,0.003210383,0.0001087264,0.0009591842,0.05368302,0.01218527,0.002666357,0.8600435,0.03722924,0.0002346185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1145439,0.01503905,0.7415187,0.0133683,0.0003582039,0.001500165,0.000388115,0.0003947822,0.1128889],"genre_scores_gemma":[0.8188298,0.004365907,0.173023,0.0008557695,0.0001470487,0.0009190431,0.00015581,0.00006613735,0.001637566],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01391911,"threshold_uncertainty_score":0.07361221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3728321011502986,"score_gpt":0.4325100693219568,"score_spread":0.05967796817165816,"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."}}