{"id":"W2096395849","doi":"10.5772/5208","title":"Playing Games with Robots - A Method for Evaluating Human-Robot Interaction","year":2007,"lang":"en","type":"book-chapter","venue":"Human-Robot Interaction","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Universiti Malaysia Perlis; University of Oxford; Harvard University","keywords":"Robot; Human–computer interaction; Computer science; Human–robot interaction; Artificial intelligence","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001557622,0.001473648,0.001564461,0.001572818,0.001520972,0.0004846735,0.0005846572,0.001437744,0.01997274],"category_scores_gemma":[0.0001633563,0.001521387,0.00104026,0.0001590003,0.0001871616,0.0009153201,0.0001473444,0.002913559,0.001524476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543649,"about_ca_system_score_gemma":0.0001208921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097728,"about_ca_topic_score_gemma":0.001858621,"domain_scores_codex":[0.9934478,0.0003164016,0.00207148,0.002034389,0.0009942818,0.001135626],"domain_scores_gemma":[0.9929782,0.001705362,0.002834709,0.001131154,0.001028187,0.0003223523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01324499,0.00208118,0.0002737693,0.001209312,0.01053358,0.0004294341,0.02426042,0.01039652,0.05354544,0.4513813,0.09102759,0.3416165],"study_design_scores_gemma":[0.01824537,0.01374656,0.004061287,0.01196821,0.007047254,0.003320897,0.01604464,0.005988661,0.00348816,0.02349843,0.8810257,0.01156484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008593743,0.0003075229,0.1674363,0.0002770291,0.01054081,0.002909695,0.00005474308,0.0008296688,0.8167849],"genre_scores_gemma":[0.06040877,0.00003961595,0.03128599,0.001741102,0.006617023,0.001195408,0.001754849,0.001064779,0.8958924],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7899981,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3595683555614999,"score_gpt":0.5446413535623041,"score_spread":0.1850729980008043,"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."}}