Abstract
A forecast of a high-tech society often represents the visions of industry. The possible technological developments and innovations presented by tech companies promise a bright future, supposedly offering all a better quality of life. However, the ideas give protagonism of a particular style of life and reveal privileges that do not match the environmental and socio-economic tensions from the global south. We started an experiment among us to analyze historical visions of the future commonly presented by companies. We created a questionnaire with an additional form to allow participants to proactively propose alternate concepts by sending images. From this experience, we offer a thick description of the perspectives and feelings related to the questions submitted. This ethnography is a ground for future work where we aim to investigate how HCI literacy and knowledge of cultural studies impact the identification of biased content. Also, collecting data through questionnaires and forms can help participants increase awareness of image content on the internet and motivate them to present their voices proactively. In our interactions with other researchers, as we give this work, we invite others to volunteer to answer the questions and offer alternate views from the ones on the questionnaire through AI images. This is a primary step of qualitative research. For further actions, we aim to develop a platform able to provide quantitative data with diverse aesthetics for future visions, capable of adding diversity to the digital ecosystem.
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Acknowledgments
Thanks to the Brazilian Committee for Internet Management (CGI.BR) for supporting our research with the Institute for Advanced Studies of the University of São Paulo (IEA/USP) under the lead of Professor Virgilio de Almeida at Cátedra Oscar Sala.
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Nas, E., Longhi, F., Terceiro, L., Azevedo, T., Valente, T. (2023). Future Visions for a Decolonized Future of HCI. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1832. Springer, Cham. https://doi.org/10.1007/978-3-031-35989-7_13
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