{"id":"W2611461041","doi":"10.1145/3027063.3053213","title":"A Fitts' Law Evaluation of Video Game Controllers","year":2017,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Touchpad; Computer science; Throughput; Rule of thumb; Controller (irrigation); Fitts's law; Thumb; Artificial intelligence; Algorithm; Computer hardware; Operating system; Engineering; Anatomy; Medicine; Task (project management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005253723,0.0009615587,0.000598741,0.001510227,0.0004545557,0.001447492,0.001388899,0.001175498,0.00527554],"category_scores_gemma":[0.07528586,0.0003159709,0.0006486971,0.000587091,0.0008401902,0.00179818,0.001058222,0.0007017961,0.001299428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089083,"about_ca_system_score_gemma":0.0004904671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004511606,"about_ca_topic_score_gemma":0.00279301,"domain_scores_codex":[0.992159,0.00239316,0.0006488846,0.0009614495,0.003527428,0.0003101761],"domain_scores_gemma":[0.954538,0.03287948,0.002043171,0.002216889,0.00743459,0.0008877798],"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":[0.01894806,0.009351707,0.04750368,0.002261323,0.0006768806,0.001363192,0.003452275,0.06005253,0.3026994,0.005634645,0.008282373,0.539774],"study_design_scores_gemma":[0.00184105,0.1162061,0.1456763,0.0003984184,0.000543503,0.002211841,0.002429585,0.4983507,0.2161384,0.003957469,0.01190326,0.0003434686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369819,0.0006927274,0.047832,0.0001852019,0.0001281168,0.001462538,0.0004925221,0.0009583989,0.01126652],"genre_scores_gemma":[0.9771134,0.000219754,0.01780443,0.0001672374,0.00002577105,0.0005744171,0.0004783804,0.0001378657,0.003478767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00527554,"threshold_uncertainty_score":0.02778465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780450362192536,"score_gpt":0.3410220549832085,"score_spread":0.2932175513612831,"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."}}