{"id":"W4383652782","doi":"10.1145/3563703.3593068","title":"Beyond Looking Back: Designing Interactive Technology Together to Support Blind People's Experience of Reminiscence","year":2023,"lang":"en","type":"article","venue":"Designing Interactive Systems Conference","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Reminiscence; Participatory design; Blindness; Psychology; Reciprocity (cultural anthropology); Creativity; Citizen journalism; User experience design; Computer science; Human–computer interaction; Social psychology; Cognitive psychology; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001160677,0.0006416562,0.0009632104,0.002785215,0.0003175178,0.0004013816,0.002693335,0.0004088724,0.0001238858],"category_scores_gemma":[0.00124923,0.000664761,0.0001373117,0.00448677,0.0002866283,0.002256208,0.001210278,0.001105592,0.001176102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004181258,"about_ca_system_score_gemma":0.0003487614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461496,"about_ca_topic_score_gemma":0.00004152989,"domain_scores_codex":[0.9949251,0.0004494578,0.0013151,0.001573858,0.0007080975,0.001028323],"domain_scores_gemma":[0.9942087,0.0009927865,0.001244603,0.00136357,0.002031329,0.000159011],"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":[0.0003109711,0.0001700233,0.007083462,0.000132178,0.0002750772,0.0002072671,0.06463949,0.000461777,0.8583536,0.05592581,0.001996533,0.01044379],"study_design_scores_gemma":[0.001146639,0.001760122,0.001476793,0.002442454,0.00003380635,0.0004859719,0.04678136,0.02751878,0.9129557,0.002571601,0.001402397,0.001424388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2088853,0.00001670491,0.7774057,0.0005374512,0.002880482,0.001198198,0.00001185477,0.0008291926,0.008235037],"genre_scores_gemma":[0.9745598,0.00000528199,0.02320358,0.0001366637,0.00007912466,0.0005230228,0.00001127467,0.00006116868,0.001420085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7656745,"threshold_uncertainty_score":0.9996016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551111569622382,"score_gpt":0.3240519573450202,"score_spread":0.2785408416487963,"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."}}