Sesgos de género de la asistencia digital en español

  1. Torres Guijarro, Soledad 1
  1. 1 Universidade de Vigo
    info

    Universidade de Vigo

    Vigo, España

    ROR https://ror.org/05rdf8595

Revista:
Gender on digital: Journal of Digital Feminism

ISSN: 3020-4410

Ano de publicación: 2023

Volume: 1

Páxinas: 35-58

Tipo: Artigo

DOI: 10.35869/GOD.V1I.5061 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Gender on digital: Journal of Digital Feminism

Resumo

The design and evaluation of digital assistants should include their social as well as technical aspects. Though gender is one of the most important socialaspects that affect a user's reaction to the assistant, it has been rarely analysed from this perspective. Most published studies on the genderimplications of digital assistance have focussed on English-language voice assistants. In this study, Spanish-language digital assistants were analysedfrom the perspective of their gender. Eleven diverse digital assistants were selected and analysed on the basis of appearance, voice (where appropriate), and responses to a dialogue script designed to reveal gender biases. The results show that the majority reinforce stereotypical images of women, use sexist language, and tolerate sexual comments and harassment.

Referencias bibliográficas

  • Bengoechea, M. (2001). Gender bias in the Diccionario de la Real Academia Española de la Lengua: the work of the Language Committee (NOMBRA) of the Instituto de la Mujer.Journal of Romance Studies,1(1), 3-15.
  • Brahnam, S. & De Angeli, A. (2012). Gender affordances of conversational agents.Interacting with Computers,24(3), 139-153. https://doi.org/10.1016/j.intcom.2012.05.001.
  • Chatbots, 2020. Chatbot Reviews, Community & News. https://chatbots.org(accessed 2 November 2020).
  • Costa, P. & Ribas, L. (2018). Conversations with Eliza: on Gender and Artificial Intelligence. 6th Conference on Computation, Communication, Aesthetics & X,103-116. https://aisberg.unibg.it/bitstream/10446/130064/4/xCoAx2018.pdf.
  • Costa, P. C. F. D. (2019). Conversations with ELIZA: sobre género e inteligência artificial (Doctoral dissertation). https://repositorio.ul.pt/handle/10451/37542.
  • Feine, J., Gnewuch, U., Morana, S., & Maedche, A. (2019). A Taxonomy of Social Cues for Conversational Agents.International Journal of Human-Computer Studies,132, 138-161. https://doi.org/10.1016/j.ijhcs.2019.07.009.
  • Forgas-Coll, S., Huertas-Garcia, R., Andriella, A., & Alenyà, G. (2023). Gendered Human–Robot Interactions in Services.International Journal of Social Robotics,1-17. https://link.springer.com/article/10.1007/s12369-023-01035-8
  • Genderless Voice, 2019. Meet Q The First Genderless Voice https://www.genderlessvoice.com/(accessed 31 July 2020).
  • Hochschild, A. R. (2012).The managed heart: Commercialization of human feeling. Univ of California Press. Berkeley and Los Angeles, California.
  • ITU (2016). How can we close the digital gender gap? ITU News. https://www.itu.int/en/itunews/Documents/2016-04/2016_ITUNews04-en.pdf(accessed 31 July 2020).
  • Loideain, N. N. & Adams, R. (2018). From Alexa to Siri and the GDPR: The Gendering of Virtual Personal Assistants and the Role of EU Data Protection Law. King's College London Dickson Poon School of Law Legal Studies Research Paper Series. https://ssrn.com/abstract=3281807or http://dx.doi.org/10.2139/ssrn.3281807.
  • Nass, C., Steuer, J. & Tauber, E.R. (1994). Computers are social actors. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, NY, USA. ACM. 72–78. https://dl.acm.org/doi/pdf/10.1145/191666.191703?casa_token=WOcAPoUclMYAAAAA:mL7Ke9lA4qvdQ8Nma21Dzi9GOlR87yvH_oC3DwCyoXFBWPkCGkDMIZqDEHRP2vP-9lgsw3Dn7xUH7g.
  • Nass, C. & Moon, Y. (2000). Machines and mindlessness: social responses to computers. J. Soc. Issues. 56 (1), 81–103. https://doi.org/10.1111/0022-4537.00153.
  • Nunamaker, J. F., Derrick, D. C., Elkins, A. C., Burgoon, J. K., Patton, & M. W. (2011). Embodied conversational agent-based kiosk for automated interviewing.Journal of Management Information Systems,28(1), 17-48. https://doi.org/10.2753/MIS0742-1222280102.
  • Pérez-Marín, D. & Pascual-Nieto, I. (2013). An exploratory study on how children interact with pedagogic conversational agents.Behaviour & Information Technology,32 (9), 955-964. https://doi.org/10.1080/0144929X.2012.687774.
  • Pimienta, D., Prado, D., & Blanco, A. (2009).Twelve years of measuring linguistic diversity in the Internet: balance and perspectives. UNESCO. http://www.unesco.org/new/en/communication-and-information/resources/publications-and-communication-materials/publications/full-list/twelve-years-of-measuring-linguistic-diversity-in-the-internet-balance-and-perspectives/.
  • Tannenbaum, B., Ellis, R. P., Eyssel, F., Zou, & J. Schiebinger, L. (2019). Sex and gender analysis improves science and engineering. Nature, 575, 137-146. https://doi.org/10.1038/s41586-019-1657-6.
  • Valtolina, S., Barricelli, B. R., & Di Gaetano, S. (2020). Communicability of traditional interfaces VS chatbots in healthcare and smart home domains.Behaviour & Information Technology,39(1), 108-132. https://doi.org/10.1080/0144929X.2019.1637025.
  • Ward, B. (2019). New voices for your Google Assistant in nine countries. https://www.blog.google/products/assistant/new-voices-your-google-assistant-nine-countries/(accessed 31 July 2020).
  • West, M., Kraut, R., & Chew, H. E.(2019). I'd blush if I could: closing gender divides in digital skills through education. Equals, UNESCO.https://en.unesco.org/Id-blush-if-I-could.
  • Zumstein, D. & Hundertmark, S. (2017). Chatbots --An interactive technology for personalized communication, transactions, and services. IADIS International Journal on WWW/Internet, 15(1).
Fonte de datos: Dialnet