Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal
This study explores the growing significance of Large Language Models (LLMs) in tourism, for their current and potential applications. It aims to achieve two primary objectives: first, to develop a novel hetero-intelligence framework merging human and artificial intelligence (AI) to address contempo...
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| Format: | Article |
| Language: | English |
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University of the Algarve - ESGHT - CIEO
2024-04-01
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| Series: | Tourism & Management Studies |
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| Online Access: | https://www.tmstudies.net/index.php/ectms/article/view/2726 |
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| author | Eva Maria Buitrago-Esquinas Rocío Yñiguez-Ovando Miguel Puig-Cabrera Margarida Custódio Santos José António C. Santos |
| author_facet | Eva Maria Buitrago-Esquinas Rocío Yñiguez-Ovando Miguel Puig-Cabrera Margarida Custódio Santos José António C. Santos |
| author_sort | Eva Maria Buitrago-Esquinas |
| collection | DOAJ |
| description | This study explores the growing significance of Large Language Models (LLMs) in tourism, for their current and potential applications. It aims to achieve two primary objectives: first, to develop a novel hetero-intelligence framework merging human and artificial intelligence (AI) to address contemporary sustainability challenges in tourism; second, to validate this framework by applying it to sustainable tourism planning, assessing LLMs' capabilities and limitations. The research employs a hetero-intelligence performance test, contrasting human intelligence and AI contributions in sustainable tourism planning with overtourism as a proxy challenge. Results showed that hetero-intelligence could effectively address sustainability issues in tourism, provided human and AI strengths and weaknesses are understood. LLMs proved useful in diagnosing and proposing solutions for sustainability-related issues. However, a rigorous methodological framework is essential to ensure unbiased outcomes. The research offers practical guidelines for applying this approach and significantly contributes to epistemological and empirical dimensions, providing valuable insights for researchers and tourism planners. The study calls for more empirical research to validate the methodology and explore ethical and legal dimensions, extending hetero-intelligence applications to broader sustainability challenges in tourism. |
| format | Article |
| id | doaj-art-37c073594c4949e6824f5c8661c9c3c7 |
| institution | Kabale University |
| issn | 2182-8466 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | University of the Algarve - ESGHT - CIEO |
| record_format | Article |
| series | Tourism & Management Studies |
| spelling | doaj-art-37c073594c4949e6824f5c8661c9c3c72025-01-08T14:18:52ZengUniversity of the Algarve - ESGHT - CIEOTourism & Management Studies2182-84662024-04-0120SI4559Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal Eva Maria Buitrago-Esquinas 0Rocío Yñiguez-Ovando 1Miguel Puig-Cabrera 2Margarida Custódio Santos 3José António C. Santos 4Universidad de Sevilla Universidad de Sevilla Universidade do Algarve Universidade do Algarve Universidade do Algarve This study explores the growing significance of Large Language Models (LLMs) in tourism, for their current and potential applications. It aims to achieve two primary objectives: first, to develop a novel hetero-intelligence framework merging human and artificial intelligence (AI) to address contemporary sustainability challenges in tourism; second, to validate this framework by applying it to sustainable tourism planning, assessing LLMs' capabilities and limitations. The research employs a hetero-intelligence performance test, contrasting human intelligence and AI contributions in sustainable tourism planning with overtourism as a proxy challenge. Results showed that hetero-intelligence could effectively address sustainability issues in tourism, provided human and AI strengths and weaknesses are understood. LLMs proved useful in diagnosing and proposing solutions for sustainability-related issues. However, a rigorous methodological framework is essential to ensure unbiased outcomes. The research offers practical guidelines for applying this approach and significantly contributes to epistemological and empirical dimensions, providing valuable insights for researchers and tourism planners. The study calls for more empirical research to validate the methodology and explore ethical and legal dimensions, extending hetero-intelligence applications to broader sustainability challenges in tourism.https://www.tmstudies.net/index.php/ectms/article/view/2726artificial intelligencesustainable tourism planninghetero-intelligencechat-gptlarge language models |
| spellingShingle | Eva Maria Buitrago-Esquinas Rocío Yñiguez-Ovando Miguel Puig-Cabrera Margarida Custódio Santos José António C. Santos Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal Tourism & Management Studies artificial intelligence sustainable tourism planning hetero-intelligence chat-gpt large language models |
| title | Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal |
| title_full | Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal |
| title_fullStr | Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal |
| title_full_unstemmed | Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal |
| title_short | Artificial Intelligence and Sustainable Tourism Planning: A Hetero-Intelligence Methodology Proposal |
| title_sort | artificial intelligence and sustainable tourism planning a hetero intelligence methodology proposal |
| topic | artificial intelligence sustainable tourism planning hetero-intelligence chat-gpt large language models |
| url | https://www.tmstudies.net/index.php/ectms/article/view/2726 |
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