Conversational AI in an Official Tourist Information Office: A Smart Tourism Case Study of MATEIN in Oviedo

Conversational AI is increasingly used to personalise tourist information, yet evidence from official destination services remains limited. This case study examines MATEIN, a retrieval-augmented conversational recommender tested in Oviedo’s main tourist information office during a peak holiday period. A two-stage field design linked 85 logged AI interactions with 68 matched post-visit questionnaires. Visitors reported positive but differentiated evaluations of plan fit, route fluency, discovery and overall experience quality, while 83.8% followed the proposed itinerary in its main part. Overall experience quality was strongly associated with recommendation intention. Exploratory analysis also indicated that itinerary adherence should not be treated as equivalent to experiential success. The case contributes real-world evidence on conversational AI embedded in an official destination service and highlights the need to evaluate these systems through both experiential and behavioural indicators while allowing flexibility in how visitors appropriate AI-generated recommendations.

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Publication Details

Journal
Journal of Smart Tourism
Published
2026-10-08
DOI
https://doi.org/10.1177/27652157261496868
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Conversational AI in an Official Tourist Information Office: A Smart Tourism Case Study of MATEIN in Oviedo

Francisco Javier de la Ballina Ballina
Journal of Smart Tourism
AI in Service Interactions
article

Conversational AI in an Official Tourist Information Office: A Smart Tourism Case Study of MATEIN in Oviedo

Francisco Javier de la Ballina Ballina
article en

Abstract

Conversational AI is increasingly used to personalise tourist information, yet evidence from official destination services remains limited. This case study examines MATEIN, a retrieval-augmented conversational recommender tested in Oviedo’s main tourist information office during a peak holiday period. A two-stage field design linked 85 logged AI interactions with 68 matched post-visit questionnaires. Visitors reported positive but differentiated evaluations of plan fit, route fluency, discovery and overall experience quality, while 83.8% followed the proposed itinerary in its main part. Overall experience quality was strongly associated with recommendation intention. Exploratory analysis also indicated that itinerary adherence should not be treated as equivalent to experiential success. The case contributes real-world evidence on conversational AI embedded in an official destination service and highlights the need to evaluate these systems through both experiential and behavioural indicators while allowing flexibility in how visitors appropriate AI-generated recommendations.

Journal of Smart Tourism
Universidad de Oviedo (ES)
Openalex Percentile: Top 12%
AI in Service Interactions
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