Abstract
The current pandemic situation leads researchers to reflect on conducting qualitative research, completely changing how they conduct participatory research. As it became clear that the pandemic would last many months, researchers started to redesign their planned research in digital spaces through social media channels and participatory online tools. From communicating with participants over Zoom (or other similar applications) to sharing information on exclusive online groups, digital platforms have become, for many, the only way to work, learn, or be entertained. This situation offered a significant opportunity to think creatively about research engagement and reflect on which aspects truly require researchers to be “on the ground” to conduct face-to-face participatory sessions to gather qualitative data. Qualitative researchers must use this opportunity to reflect while using digital tools for distance research. This paper is inspired by the work the authors are conducting in MEMEX – a European-funded project promoting social inclusion by developing collaborative storytelling tools related to cultural heritage and at the same time facilitating encounters and interactions between communities at risk of social exclusion. Thus, the work here presented reflects on the digital tools and techniques to collect qualitative data when the researchers cannot meet the participants face-to-face due to pandemics safety measures or other restrictions.
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References
Braun, V., Clarke, V., Gray, D. (eds.): Collecting Qualitative Data: A Practical Guide to Textual, Media and Virtual Techniques. Cambridge University Press, Cambridge, New York (2017)
Cesário, V.: Guidelines for combining storytelling and gamification: which features would teenagers desire to have a more enjoyable museum experience? In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, p. SRC03. ACM, New York (2019). https://doi.org/10.1145/3290607.3308462
Cesário, V., Matos, S., Radeta, M., Nisi, V.: Designing interactive technologies for interpretive exhibitions: enabling teen participation through user-driven innovation. In: Bernhaupt, R., Dalvi, G., Joshi, A., Balkrishan, D.K., O’Neill, J., Winckler, M. (eds.) INTERACT 2017. LNCS, vol. 10513, pp. 232–241. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67744-6_16
Del Carpio Ramos, H.A., Del Carpio Ramos, P.A., Tarrillo Carrasco, J.E., García-Peñalvo, F.J., Morante Dávila, M.A.: Online instrument: perception of virtual learning of the doctorate in the context of COVID-19. In: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality, pp. 211–218. Association for Computing Machinery, New York (2020). https://doi.org/10.1145/3434780.3436603
Wattenberg, T.L.: Online focus groups used as an accessible participatory research method. In: Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 180–181. Association for Computing Machinery, New York (2005). https://doi.org/10.1145/1090785.1090819
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 870743 and the ARDITI’s postdoctoral scholarship M1420–09-5369-FSE-000002.
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Cesário, V., Nisi, V. (2021). Collecting Qualitative Data During COVID-19. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12936. Springer, Cham. https://doi.org/10.1007/978-3-030-85607-6_41
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DOI: https://doi.org/10.1007/978-3-030-85607-6_41
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