{"id":"W2145008766","doi":"10.1007/978-3-642-39229-0_43","title":"The Dimensions of Positive and Negative User Experiences with Interactive Products","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Usability; Computer science; Product (mathematics); Perception; Grid; Human–computer interaction; Point (geometry); Measure (data warehouse); Order (exchange); Psychology; Mathematics; Data mining","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":[],"category_scores_codex":[0.0003834641,0.0004035901,0.0004056085,0.0005562961,0.0004633668,0.0003261997,0.001670254,0.0001719063,0.00000849403],"category_scores_gemma":[0.0002346205,0.0002253673,0.00003476081,0.0007215455,0.003458606,0.001218265,0.001130949,0.0008664286,0.00001135487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171804,"about_ca_system_score_gemma":0.000308551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004899368,"about_ca_topic_score_gemma":0.00008302066,"domain_scores_codex":[0.997433,0.00005547652,0.000400309,0.00113082,0.0005762686,0.0004041235],"domain_scores_gemma":[0.9960806,0.001193034,0.0005639404,0.0009044323,0.001207621,0.00005030795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001227548,0.0001249576,0.0001158416,0.00005297052,0.0002013598,0.0001029258,0.0995306,0.0008399713,0.003482698,0.2485743,0.000172885,0.6466788],"study_design_scores_gemma":[0.001497713,0.005209084,0.002569916,0.004312541,0.00006294415,0.001048098,0.0005175754,0.1432385,0.5063503,0.3293557,0.002620943,0.003216672],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01770113,0.0002057196,0.9762695,0.002125758,0.001053557,0.0008681365,0.000002302582,0.00008360779,0.001690276],"genre_scores_gemma":[0.8907524,0.00002695789,0.1082235,0.0003649103,0.00008781418,0.00005984449,0.000001082008,0.00001971842,0.0004637746],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8730513,"threshold_uncertainty_score":0.9992534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090813998224356,"score_gpt":0.2442591111524437,"score_spread":0.2333509711702001,"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."}}