IDEAS home Printed from https://ideas.repec.org/a/ris/jspord/1041.html
   My bibliography  Save this article

Understanding tourists’ emotions in time and space: Combining GPS tracking and biosensing to detect spatial points of emotion

Author

Listed:

Abstract

The main contribution of the study is to provide a new methodological and analytical approach in conceptualising and measuring spatial points of emotion (SPoE). It contributes to the further development of mobile methods in applied tourism geography. A mixed-methods design, including georeferenced biosensing data and contextual information, such as video data and ex-post interviews, was used to examine positive SPoE. A conceptual framework was developed for measuring SPoE. The results showed that georeferenced biosensing indicators can be used to identify SPoE in a tourism setting. Using a data-driven and episode-driven approach, visitors’ points of relaxation at the beach can be identified. However, there are some limitations to the method, as the interpretation of biosensing signals in a real-world situation needs further clarification. Validly identifying positive valences should be a focus in future tourism research.

Suggested Citation

  • Reif, Julian & Schmücker, Dirk, 2021. "Understanding tourists’ emotions in time and space: Combining GPS tracking and biosensing to detect spatial points of emotion," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 9(4), pages 276-295.
  • Handle: RePEc:ris:jspord:1041
    as

    Download full text from publisher

    File URL: http://www.cieo.pt/journal/J_4_2021/article2.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Noam Shoval & Amit Birenboim, 2019. "Customization and augmentation of experiences through mobile technologies: A paradigm shift in the analysis of destination competitiveness," Tourism Economics, , vol. 25(5), pages 661-669, August.
    2. Caruelle, Delphine & Gustafsson, Anders & Shams, Poja & Lervik-Olsen, Line, 2019. "The use of electrodermal activity (EDA) measurement to understand consumer emotions – A literature review and a call for action," Journal of Business Research, Elsevier, vol. 104(C), pages 146-160.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paulo H A Feitosa & Amanda B A Silva, 2022. "Length of stay and satisfaction shaping the competitiveness of international business tourism in São Paulo city, Brazil," Tourism Economics, , vol. 28(3), pages 728-747, May.
    2. Kapoor, Ankur & Sahay, Arvind & Singh, Nandini C. & Chandrasekhar Pammi, V.S. & Banerjee, Prantosh, 2023. "The neural correlates and the underlying processes of weak brand choices," Journal of Business Research, Elsevier, vol. 154(C).
    3. Anne Hamby & Cristel Russell, 2022. "How does ambivalence affect young consumers’ response to risky products?," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 841-863, July.
    4. Shaowen Li & Shuyun Du, 2021. "An Empirical Study on the Coupling Coordination Relationship between Cultural Tourism Industry Competitiveness and Tourism Flow," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    5. da Fonseca, André Luís A. & Campos, Roberta D., 2021. "The cultural intertwining of consumption and entrepreneurship: A selective review of qualitative studies," Journal of Business Research, Elsevier, vol. 135(C), pages 149-162.
    6. Joe Baldwin & Claire Haven-Tang & Steve Gill & Nigel Morgan & Annette Pritchard, 0. "Using the Perceptual Experience Laboratory (PEL) to simulate tourism environments for hedonic wellbeing," Information Technology & Tourism, Springer, vol. 0, pages 1-23.
    7. Verhulst, Nanouk & Vermeir, Iris & Slabbinck, Hendrik & Larivière, Bart & Mauri, Maurizio & Russo, Vincenzo, 2020. "A neurophysiological exploration of the dynamic nature of emotions during the customer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    8. Herrando, Carolina & Jiménez-Martínez, Julio & Martín-De Hoyos, María José & Constantinides, Efthymios, 2022. "Emotional contagion triggered by online consumer reviews: Evidence from a neuroscience study," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    9. Kim, Jaehwan & Kang, Moon Young, 2022. "Sustainable success in the music industry: Empirical analysis of music preferences," Journal of Business Research, Elsevier, vol. 142(C), pages 1068-1076.
    10. Aroa Costa-Feito & Ana M. González-Fernández & Carmen Rodríguez-Santos & Miguel Cervantes-Blanco, 2023. "Electroencephalography in consumer behaviour and marketing: a science mapping approach," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    11. Joe Baldwin & Claire Haven-Tang & Steve Gill & Nigel Morgan & Annette Pritchard, 2021. "Using the Perceptual Experience Laboratory (PEL) to simulate tourism environments for hedonic wellbeing," Information Technology & Tourism, Springer, vol. 23(1), pages 45-67, March.
    12. Manthiou, Aikaterini & Hickman, Ellie & Klaus, Phil, 2020. "Beyond good and bad: Challenging the suggested role of emotions in customer experience (CX) research," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    13. Li, Shanshi & Sung, Billy & Lin, Yuxia & Mitas, Ondrej, 2022. "Electrodermal activity measure: A methodological review," Annals of Tourism Research, Elsevier, vol. 96(C).

    More about this item

    Keywords

    GPS Tracking; Biosensing; Spatio-Temporal Behaviour; Emotion; Tourism Experience; Mixed-Methods.;
    All these keywords.

    JEL classification:

    • Z30 - Other Special Topics - - Tourism Economics - - - General
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • Z39 - Other Special Topics - - Tourism Economics - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:jspord:1041. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Silvia Fernandes (email available below). General contact details of provider: https://edirc.repec.org/data/ctalgpt.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.