{"id":"W1503237970","doi":"10.1007/978-3-540-70540-6_13","title":"Investigating Usability Metrics for the Design and Development of Applications for the Elderly","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Usability; Computer science; Usability lab; Usability engineering; Human–computer interaction; Set (abstract data type); Cognitive walkthrough; Web usability; Usability inspection; Heuristic evaluation; Usability goals; Pluralistic walkthrough","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002455464,0.000171037,0.0002176142,0.0001830438,0.001659671,0.00007457653,0.00134748,0.0002238605,0.000001329126],"category_scores_gemma":[0.001204768,0.000109025,0.00004856575,0.0004631827,0.003878885,0.00008234882,0.000209223,0.0002689009,4.529511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422106,"about_ca_system_score_gemma":0.001044406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003922832,"about_ca_topic_score_gemma":0.000427493,"domain_scores_codex":[0.9984022,0.00002929532,0.0003399454,0.000502355,0.000417591,0.0003086121],"domain_scores_gemma":[0.9902222,0.008739161,0.0002494603,0.0004333953,0.000306135,0.00004966345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001665481,0.000007297599,0.00009267672,0.0000234082,0.00001117465,5.816602e-8,0.007224822,0.001093814,0.00001344131,0.006440323,0.00002384342,0.9850675],"study_design_scores_gemma":[0.001126692,0.0005447426,0.001697587,0.000398789,0.0001344617,0.00001492611,0.0001292414,0.1460626,0.006471514,0.5374323,0.3045531,0.001434189],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007561037,0.0009243769,0.993982,0.001766769,0.0001752256,0.00292714,0.000005456699,0.00004589832,0.00009750058],"genre_scores_gemma":[0.08073403,0.0001255899,0.9182775,0.000275364,0.0001473486,0.0003719791,0.000001159313,0.00001436287,0.000052689],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9836333,"threshold_uncertainty_score":0.99964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0641012427381613,"score_gpt":0.3031475194002815,"score_spread":0.2390462766621201,"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."}}