Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914973968498688 |
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| author | Taranukhin, Maksym Ravi, Sahithya Lukacs, Gabor Milios, Evangelos Shwartz, Vered |
| author_facet | Taranukhin, Maksym Ravi, Sahithya Lukacs, Gabor Milios, Evangelos Shwartz, Vered |
| contents | The Canadian air travel sector has seen a significant increase in flight delays, cancellations, and other issues concerning passenger rights. Recognizing this demand, we present a chatbot to assist passengers and educate them about their rights. Our system breaks a complex user input into simple queries which are used to retrieve information from a collection of documents detailing air travel regulations. The most relevant passages from these documents are presented along with links to the original documents and the generated queries, enabling users to dissect and leverage the information for their unique circumstances. The system successfully overcomes two predominant challenges: understanding complex user inputs, and delivering accurate answers, free of hallucinations, that passengers can rely on for making informed decisions. A user study comparing the chatbot to a Google search demonstrated the chatbot's usefulness and ease of use. Beyond the primary goal of providing accurate and timely information to air passengers regarding their rights, we hope that this system will also enable further research exploring the tradeoff between the user-friendly conversational interface of chatbots and the accuracy of retrieval systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_12678 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights Taranukhin, Maksym Ravi, Sahithya Lukacs, Gabor Milios, Evangelos Shwartz, Vered Computation and Language Artificial Intelligence The Canadian air travel sector has seen a significant increase in flight delays, cancellations, and other issues concerning passenger rights. Recognizing this demand, we present a chatbot to assist passengers and educate them about their rights. Our system breaks a complex user input into simple queries which are used to retrieve information from a collection of documents detailing air travel regulations. The most relevant passages from these documents are presented along with links to the original documents and the generated queries, enabling users to dissect and leverage the information for their unique circumstances. The system successfully overcomes two predominant challenges: understanding complex user inputs, and delivering accurate answers, free of hallucinations, that passengers can rely on for making informed decisions. A user study comparing the chatbot to a Google search demonstrated the chatbot's usefulness and ease of use. Beyond the primary goal of providing accurate and timely information to air passengers regarding their rights, we hope that this system will also enable further research exploring the tradeoff between the user-friendly conversational interface of chatbots and the accuracy of retrieval systems. |
| title | Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2403.12678 |