{"id":"W4281914607","doi":"10.1145/3532106.3533568","title":"Computationally augmenting traditional embroidery practices: an autobiographical design process with first-person patient experience for amblyopia follow up treatment activity","year":2022,"lang":"en","type":"article","venue":"Designing Interactive Systems Conference","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Image stitching; Process (computing); Computer science; Compliance (psychology); Quality of life (healthcare); Human–computer interaction; Design process; Field (mathematics); User centred design; Quality (philosophy); Psychology; Artificial intelligence; Work in process; Engineering; Psychotherapist; Social 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005068074,0.0003405788,0.0003584929,0.0002466452,0.001256763,0.0007517311,0.0006800397,0.00005519655,0.00001689349],"category_scores_gemma":[0.0002098759,0.0003036531,0.0001045055,0.0005088077,0.00008471407,0.002053576,0.0000674089,0.0002400647,0.000002803119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403839,"about_ca_system_score_gemma":0.0008826304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005098,"about_ca_topic_score_gemma":0.00005801376,"domain_scores_codex":[0.9969146,0.0006084227,0.0003608562,0.0009415449,0.0006999497,0.0004745957],"domain_scores_gemma":[0.9961488,0.001850572,0.0008202204,0.0004389927,0.000511181,0.0002302901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006325418,0.0094009,0.002162506,0.0005709218,0.001786961,0.0001430449,0.3364314,0.4174275,0.04658541,0.1180382,0.001296511,0.05983112],"study_design_scores_gemma":[0.001638532,0.006297485,0.001573268,0.0002006485,0.0000460984,0.000190835,0.01328531,0.9700655,0.004794887,0.000432432,0.0008579227,0.0006170724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1733782,0.00001667545,0.8239412,0.0002464061,0.0003213262,0.001735834,0.00005881559,0.0001514112,0.0001501211],"genre_scores_gemma":[0.9727362,0.000001821355,0.02166826,0.00008340373,0.00004780376,0.005308839,0.00006524947,0.00002340661,0.00006502231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.802273,"threshold_uncertainty_score":0.9999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945169918336039,"score_gpt":0.3317690330838365,"score_spread":0.1372520412502327,"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."}}