{"id":"W3212222585","doi":"10.1109/tai.2021.3127483","title":"Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Green IT and Sustainability","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Set (abstract data type); Interleaving; Computer science; Process (computing); Human behavior; Task (project management); Reinforcement; Markov decision process; Smart environment; Artificial intelligence; Human–computer interaction; Markov process; Engineering; Psychology; Internet of Things; Mathematics; Computer security; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009727586,0.0001270461,0.0001689484,0.00009746908,0.0000943328,0.00001417696,0.0001239112,0.00007525948,0.0001019462],"category_scores_gemma":[0.00001510206,0.0001502321,0.0001174766,0.0002876804,0.00004733445,0.0001130951,0.0000637026,0.0001951658,0.000008493501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429546,"about_ca_system_score_gemma":0.00003053535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005993458,"about_ca_topic_score_gemma":0.00001854473,"domain_scores_codex":[0.9993148,0.00004240195,0.0001242697,0.000217974,0.000066234,0.0002343249],"domain_scores_gemma":[0.9995033,0.00001285876,0.00003419783,0.000276519,0.00008475618,0.00008840917],"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":[0.00002886126,0.0001144806,0.04656773,0.0001446654,0.00005974406,0.0002394153,0.0002696475,0.9412485,0.003060008,0.00802872,0.00006157392,0.0001766538],"study_design_scores_gemma":[0.005175869,0.001142413,0.2764904,0.0001339251,0.0006358085,0.00003528189,0.008805703,0.666177,0.03646052,0.00202495,0.001196017,0.001722046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848905,0.00001974526,0.006980545,0.000002693691,0.0000600343,0.0001021204,0.000001372069,0.0001074138,0.007835624],"genre_scores_gemma":[0.998558,0.00001652292,0.00002722746,0.000004219796,0.00001702874,4.98364e-7,0.00001875106,0.00001443059,0.001343278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2750715,"threshold_uncertainty_score":0.6126288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245831061794389,"score_gpt":0.1809212078984721,"score_spread":0.1484628972805282,"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."}}