{"id":"W4415733091","doi":"10.1108/jhti-06-2025-0682","title":"Adoption of voice assistants for airport procedures and services: an empirical study using the UTAUT2 model and SEM analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Hospitality and Tourism Insights","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Empirical research; Unified theory of acceptance and use of technology; Structural equation modeling; Service (business); Key (lock); Conceptual model; Conceptual framework; Interactivity","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":[],"consensus_categories":[],"category_scores_codex":[0.0004280169,0.0001193997,0.0003218119,0.0002246619,0.0002524472,0.0001861705,0.0002874941,0.00006434426,3.618246e-7],"category_scores_gemma":[0.00001822508,0.00007826353,0.00007712931,0.0004102401,0.00005674262,0.001088857,0.000134242,0.0001547653,2.148967e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627952,"about_ca_system_score_gemma":0.0001113715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009675281,"about_ca_topic_score_gemma":0.0005366422,"domain_scores_codex":[0.9988624,0.00008898434,0.0004870329,0.0002183368,0.0002383479,0.0001048756],"domain_scores_gemma":[0.998719,0.0001145815,0.0004446046,0.000243795,0.0004023353,0.00007568852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004953328,0.003978827,0.8555619,0.001060551,0.005191416,0.00008682811,0.1044457,0.01780584,0.001088481,0.00550072,0.0004321523,0.004352291],"study_design_scores_gemma":[0.000548142,0.0004913128,0.4978262,0.00009071131,0.000889298,0.00002541993,0.006651423,0.4756542,0.00007840549,0.01756752,0.00004854919,0.0001288397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200383,0.0004172776,0.07866187,0.0005588106,0.00009392403,0.0001900785,0.000003632205,0.000007702703,0.00002840743],"genre_scores_gemma":[0.9904538,0.00003508001,0.009248416,0.0001989195,0.00004088222,0.000002986071,7.143652e-7,0.000003554729,0.00001559453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4578484,"threshold_uncertainty_score":0.3191494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864035770753099,"score_gpt":0.3418607042258049,"score_spread":0.3132203465182739,"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."}}