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Gender Stereotypes in Interaction Design. Render Me – Augmented Reality Masks to Inhabit the Metaverse

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Virtual, Augmented and Mixed Reality (HCII 2023)

Abstract

The purpose of this article is to understand how digital systems interact, reproduce societal power structures, and mimic the male canon in digital systems. Thus, it is necessary to understand how the algorithms of biometric technologies and Artificial Intelligence systems used in the categorization of images contribute to the inception of biases and stereotypes. In response to this question, the Render Me project was developed, which simulates how biometric technologies and design choices can marginalize individuals.

Through a Feminist Speculative Design methodology, a fictional brand was developed that sells digital skins (augmented reality filters in Spark AR Studio) that protect the physical identity of its users against data capture and against surveillance of their real faces. This is meant as a satirical approach, as the female subject is placed as the main figure, abandoning the ideal of the man at the centre of the world that served its humanist desires. This female subject, however, is crossed by all the stereotypes attributed to her in the physical world. A skin is assigned to the user through the choice of keywords derived from the Myers-Brigg Type Indicator (MBTI) model. Additionally, only female masks can be purchased to navigate the entire metaverse, which vary their visual configuration according to female stereotypes. There are six skins in its current iteration, but it is intended that others can be developed in the future, representing other axes of identity such as race, class, and gender. In this way, the project aims to be an awareness tool for the perpetuation and amplification of gender stereotypes in digital systems. In short, by centering the female subject as the main figure, the Render Me project hopes to stimulate critical thinking about how technological objects reproduce ingrained prejudices and preestablished ideas and paradigms which might actually be causing harm.

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References

  1. Braidotti, R.: The Posthuman. Polity Press, Berlin (2013)

    Google Scholar 

  2. Criado-Perez, C.: Invisible Women. Exposing Data Bias in a World Designed for Men. Abrams Press, New York (2019)

    Google Scholar 

  3. European Commission: 2019 Report on equality between women and men in the EU. Office for Official Publications of the European Communities, Luxembourg (2019)

    Google Scholar 

  4. Miller, M.: Finding the Blank Spots in Big Data. AIGA Eye on Design, New York (2020). https://eyeondesign.aiga.org/finding-the-blank-spots-in-big-data. Accessed 12 Mar 2021

  5. Martins, L.: Privilege and oppression: towards a feminist speculative design. In: Lim, Y., Niedderer, K., Redström, J., Stolterman, E., Valtonen, A. (eds.) Design’s Big Debates - DRS International Conference 2014, 16–19 June, Umeå, Sweden (2014). https://dl.designresearchsociety.org/drs-conference-papers/drs2014/researchpapers/75. Accessed 10 Apr 2022

  6. Dunne, A., Raby, F.: Speculative Everything Design, Fiction, and Social Dreaming. MIT Press, Cambridge (2013)

    Google Scholar 

  7. European Commission: Women in the Digital Age. Office for Official Publications of the European Communities, Luxembourg (2018)

    Google Scholar 

  8. Schlesinger, A., Edwards W.K., Grinter, R.E.: Intersectional HCI: engaging identity through gender, race, and class. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ‘17), pp. 5412–5427. Association for Computing Machinery, New York (2017). https://doi.org/10.1145/3025453.3025766

  9. Bardzell, S.: Feminist HCI: taking stock and outlining an agenda for design. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘10), pp. 1301–1310. Association for Computing Machinery, New York (2010). https://doi.org/10.1145/1753326.1753521

  10. Costanza-Chock, S.: Introduction: #TravelingWhileTrans, design justice, and escape from the matrix of domination. In: Design Justice. 1st ed. (2020). https://designjustice.mitpress.mit.edu/pub/ap8rgw5e. Accessed 12 Apr 2022

  11. Zhou, S.K., Chellappa, R., Zhao, W.: Unconstrained Face Recognition. Springer, New York (2006). https://doi.org/10.1007/978-0-387-29486-5

    Book  Google Scholar 

  12. Garvie, C., Frankle, J.: Facial-Recognition Software Might Have a Racial Bias Problem. The Atlantic. Washington (2016). https://www.theatlantic.com/technology/archive/2016/04/the-underlying-bias-of-facial-recognition-systems/476991. Accessed 26 Feb 2022

  13. D’Ignazio, C., Klein, L.: 1. The Power Chapter. In: Data Feminism (2020). https://data-feminism.mitpress.mit.edu/pub/vi8obxh7. Accessed 17 Feb 2022

  14. Buolamwini, J., Gebru, T.: Gender shades: intersectional accuracy disparities in commercial gender classification, PMLR (81), 77–91 (2018). http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdf. Accessed 03 Jan 2022

  15. Mitrović, I., Auger, J., Hanna, J., & Helgason, I.: Beyond speculative design: Past – Present – Future. Arts Academy, University of Split, Split (2021)

    Google Scholar 

  16. Cambridge Dictionary, https://dictionary.cambridge.org/pt/dicionario/ingles/render, last accessed 2022/01/03

  17. Misak, C.: The Oxford Handbook of American Philosophy (2008; online edn, Oxford Academic, 2 Sept. 2009), https://doi.org/10.1093/oxfordhb/9780199219315.001.0001. Accessed 23 Mar 2022

  18. Giles, D.C.: A typology of persona as suggested by jungian theory and the evolving persona studies literature. Persona Stud. 6(1), 15–29 (2020). https://doi.org/10.21153/psj2020vol6no1art99

  19. Jung, C.G.: Collected works of C.G. Jung, Volume 6: In: Adler, G., Hull, R.F.C. (eds.) Psychological Types (6). Princeton University Press, New Jersey (1971) http://www.jstor.org/stable/j.ctt5hhqtj. Accessed 24 Mar 2022

  20. Clarke, R.: The digital persona and its application to data surveillance. Inf. Soc. 10(2), 77–92 (1994)

    Article  Google Scholar 

  21. Briggs-Myers, I., Briggs, K.C.: Myers-Briggs Type Indicator (MBTI). Consulting Psychologists Press, Palo Alto (1985)

    Google Scholar 

  22. Escobido, M., Stevens, G.: Can personality type be predicted by social media network structures? In: The Asian Conference on Psychology & the Behavioral Sciences, pp. 159–173. IAFOR, Osaka (2013)

    Google Scholar 

  23. Amirhosseini, M.H., Kazemian, H.: Machine learning approach to personality type prediction based on the Myers-Briggs Type Indicator®. Multimodal Technol. Interact. 4(1), 9 (2020)

    Article  Google Scholar 

  24. Bergen, H.: ‘I’d blush if I could’: digital assistants, disembodied cyborgs and the problem of gender. Word Text J. Liter. Stud. Linguist. 6(01), 95–113 (2016)

    Google Scholar 

  25. Martin, A.E., Slepian, M.L.: Dehumanizing gender: the debiasing effects of gendering human-abstracted entities. Pers. Soc. Psychol. Bull. 44(12), 1681–1696 (2018)

    Article  Google Scholar 

  26. Federici, S.: Caliban and the Witch: Women, the Body and Primitive Accumulation. Autonomedia, Brooklyn (2014)

    Google Scholar 

  27. Masterson, V.: Women are burning out doing invisible ‘office housework’. World Economic Forum (2021). https://www.weforum.org/agenda/2021/11/women-workplace-2021-invisible-labour. Accessed 11 Apr 2022

  28. Donald, S.: Societal Implications of Gendering AI. Arizona State University, Arizona (2019)

    Google Scholar 

  29. Effiong, A., Inyang, S.: A brief history and classification of feminism. In: Patu, S.A. (eds.) A Brief History of Feminism. MIT Press, Cambridge (2017)

    Google Scholar 

  30. Keirsey, D.: Please Understand Me II: Temperament, Character, Intelligence. Prometheus Nemesis Book Company, California (1998)

    Google Scholar 

  31. Likert, R.: A technique for the measurement of attitudes. Arch. Psychol. 22(140), 1–55 (1932)

    Google Scholar 

  32. Sauro, J.: 10 Things to Know About the Single Ease Question (SEQ). Measuring U (2012). https://measuringu.com/seq10. Accessed 29 Dec 2020

  33. Scherer, K.R.: What are emotions? And how can they be measured? Soc. Sci. Inf. 44(4), 695–729 (2005)

    Article  Google Scholar 

  34. Kychenthal, S.: Why the trans programmer? IEEE (2022). https://arxiv.org/pdf/2205.01553.pdf. Accessed 6 Mar 2022

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Correspondence to Sónia Rafael .

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Tuna, I.M., Rafael, S., Almeida, V.M., Henriques, A.O. (2023). Gender Stereotypes in Interaction Design. Render Me – Augmented Reality Masks to Inhabit the Metaverse. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2023. Lecture Notes in Computer Science, vol 14027. Springer, Cham. https://doi.org/10.1007/978-3-031-35634-6_4

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  • DOI: https://doi.org/10.1007/978-3-031-35634-6_4

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