{"id":"W3047992530","doi":"10.1145/3379350.3416167","title":"Adapting Usability Heuristics to the Context of Mobile Augmented Reality","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Usability; Computer science; Augmented reality; Human–computer interaction; Heuristic evaluation; Popularity; Mobile technology; Heuristics; Mobile computing; Context (archaeology); Usability engineering; Mobile device; Multimedia; World Wide Web; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088709,0.0002659472,0.0004696798,0.0000458555,0.000152515,0.000118956,0.003209044,0.0001602922,0.00003178445],"category_scores_gemma":[0.0004045026,0.000200614,0.0001862884,0.0004943081,0.0001443633,0.0000615075,0.005676686,0.0006103896,0.00006774576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001747577,"about_ca_system_score_gemma":0.0003023983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221002,"about_ca_topic_score_gemma":0.0004227149,"domain_scores_codex":[0.9970571,0.0002913742,0.0008851634,0.0009396541,0.000551654,0.0002749866],"domain_scores_gemma":[0.9955513,0.0004368091,0.0004566436,0.002998755,0.0003521219,0.0002043368],"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":[0.00005921461,0.00125794,0.0006314262,0.00106,0.0005300013,0.000007137796,0.01735388,0.06391497,0.001741187,0.6238425,0.1016963,0.1879055],"study_design_scores_gemma":[0.0004643777,0.0002793607,0.004021163,0.000210591,0.0001247986,0.000006588274,0.00249078,0.8444975,0.009504595,0.03368134,0.1036771,0.001041857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001667208,0.00004542059,0.9691615,0.02282183,0.0002628262,0.001925284,0.0002111245,0.0002867627,0.00361812],"genre_scores_gemma":[0.9673772,0.0000160104,0.03035141,0.00145426,0.00009046913,0.0005119468,0.00004713597,0.00001400101,0.0001375538],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.96571,"threshold_uncertainty_score":0.8180802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0669421296961997,"score_gpt":0.3220434067957391,"score_spread":0.2551012770995394,"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."}}