Oct 2026· Journal of Qualitative Research in Tourism
AI in Service Interactions
Abstract
Generative artificial intelligence (GenAI) is increasingly transforming how tourists search for information, plan itineraries, and make travel decisions. However, limited qualitative research explains how tourists negotiate their agency when AI becomes actively involved in travel decision-making. This study explores how tourists experience GenAI-mediated travel decisions, focusing on autonomy, trust, skepticism, authenticity, and spontaneity. Drawing on a qualitative research approach, semi-structured interviews were conducted with six tourists who had experience using GenAI for travel planning. Thematic analysis identified five interconnected themes: AI as a travel decision partner; between convenience and decision autonomy; trust, verification, and skepticism; the tension between ai optimization and travel spontaneity; and reconstructing authenticity in AI-mediated travel. The findings indicate that tourists perceive GenAI as a decision partner rather than a replacement for human judgment. AI enhances planning convenience but can increase reliance, making autonomy a negotiated process. Trust is conditional and supported by verification, while AI optimization creates tensions with spontaneity. Furthermore, AI can facilitate authentic experiences while potentially contributing to algorithmic standardization. The study contributes to tourism research by conceptualizing AI-mediated travel decision-making as a process of negotiated agency between tourists and AI.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.