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Attitudes towards machine translation and languages among travelers

Author

Listed:
  • Inês Carvalho

    (Universidade Europeia
    University of Aveiro
    University of Lisbon)

  • Ana Ramires

    (Universidade Europeia
    Instituto Português de Administração de Marketing-IPAM Porto)

  • Montserrat Iglesias

    (University of Barcelona)

Abstract

Machine translation (MT), i.e., automatic translation, is a growing field in artificial intelligence with huge impacts on societies and businesses. Despite its importance for traveling and tourism communication, it has not been approached within tourism research. This study aims to fill this gap in knowledge by analyzing how attitudes toward machine translation are related to tourists’ profiles, travel behaviors, and language mindsets. It comprises two parts. The first one concerns a sample of 2535 individuals, while the second concerns a sub-sample of 907 language tourists (LTs). Specific research goals are set for each study: (1) to compare individuals with opposing viewpoints on the importance of MT in terms of profiles and attitudes toward languages; and (2) to understand how LTs’ profiles and travel experiences differed according to their agreement with the importance of MT in their most significant language trip. Statistical exploratory and inferential analyses have been conducted. We conclude that those with more positive views of MT tend to be younger and less educated, report poorer language skills, and attribute greater importance to the role of English as a lingua franca. Concerning LTs, those who rate MT as less important are more likely to have acquired language skills formally, engage more in cultural activities, and have closer contact with locals during their language trips. Acknowledging the role of MT in their most significant language trip is neither associated with a more unfavorable attitude towards the role of language in tourism nor with perceived diminished travel outcomes.

Suggested Citation

  • Inês Carvalho & Ana Ramires & Montserrat Iglesias, 2023. "Attitudes towards machine translation and languages among travelers," Information Technology & Tourism, Springer, vol. 25(2), pages 175-204, June.
    • Handle: RePEc:spr:infott:v:25:y:2023:i:2:d:10.1007_s40558-023-00253-0
    DOI: 10.1007/s40558-023-00253-0
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    References listed on IDEAS

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    1. Roberto Pessoa de Queiroz Falcao & Jorge Brantes Ferreira & Murilo Carrazedo Marques Costa Filho, 2019. "Correction to: The influence of ubiquitous connectivity, trust, personality and generational effects on mobile tourism purchases," Information Technology & Tourism, Springer, vol. 21(4), pages 595-595, December.
    2. Xinjie Deng & Zhonggen Yu, 2022. "A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    3. Roberto P. Q. Falcao & J. B. Ferreira & Murilo Carrazedo Marques da Costa Filho, 2019. "The influence of ubiquitous connectivity, trust, personality and generational effects on mobile tourism purchases," Information Technology & Tourism, Springer, vol. 21(4), pages 483-514, December.
    4. Zakaryia Almahasees & Sameh Mahmoud, 2022. "Evaluation of Google Image Translate in Rendering Arabic Signage into English," World Journal of English Language, Sciedu Press, vol. 12(1), pages 185-185, December.
    5. María Redondo-Carretero & Carmen Camarero-Izquierdo & Ana Gutiérrez-Arranz & Javier Rodríguez-Pinto, 2017. "Language tourism destinations: a case study of motivations, perceived value and tourists’ expenditure," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 155-172, May.
    6. Luisa Mich & Roberto Garigliano, 2023. "ChatGPT for e-Tourism: a technological perspective," Information Technology & Tourism, Springer, vol. 25(1), pages 1-12, March.
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