Unveiling Usability and UX Relationships for Different Gender, Users Habits and Contexts of Use

Authors

  • Deller James Ferreira Instituto de Informática, Universidade Federal de Goiás, Goiânia, Goiás, CEP: 74690-900, Brazil https://orcid.org/0000-0002-4314-494X
  • Tatiane F. N. Melo Instituto de Matemática e Estatística, Universidade Federal de Goiás, Goiânia, Goiás, CEP: 74690-900, Brazil https://orcid.org/0000-0001-5035-2280
  • Tiago do Carmo Nogueira Núcleo de Informática Acessível, Instituto Federal Baiano, Guanambi, Bahia, CEP: 46430-000, Brazil https://orcid.org/0000-0003-2383-879X

DOI:

https://doi.org/10.13052/jwe1540-9589.195611

Keywords:

Usability, UX, Gender, Computer usage time, Context of use

Abstract

Despite the abundance of research into usability and user experience (UX), there are few works approaching how the context influences the relationships between these two concepts. The actual experience of a user highly depends on personal characteristics, like the social and cultural background. In this work, we address user-related and contextual factors for a better comprehension of usability UX correlations. We conducted a study with 160 participants in entertainment, e-bank, education and e-commerce websites. As a result, for both sex and usage time user classes, a good usability was positively correlated to positive emotions. Despite the correlations between usability and female users negative and positive emotional reactions are greater than for male users, no significant difference was observed. Also, there was no significant difference involving correlations between usability and emotional reactions, when comparing less and more frequent users. As another result, there are differences of the degree of the correlations between perceived usability and emotional responses in different contexts of use, when dividing the users on sex and usage time classes, but the correlations between usability and positive emotions remained positive. In spite of the particularities of user classes, similarities on the usability for different user classes and the agreement of patterns of correlations with previous literature, our results reinforces the usability as a determinant aspect for UX.

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Author Biographies

Deller James Ferreira, Instituto de Informática, Universidade Federal de Goiás, Goiânia, Goiás, CEP: 74690-900, Brazil

Deller James Ferreira is Bachelor of Mathematics from Universidade Federal Fluminense (1987), Master of Systems and Computing from Instituto Militar de Engenharia (1990) and PhD in Education from UnB (2008). Postdoctoral fellow at the University of Exeter (2010). She is Associate Professor III at the Institute of Informatics at the Federal University of Goiás. She works in the areas of collaborative and creative learning mediated by the computer, computer teaching and human-computer interaction.

Tatiane F. N. Melo, Instituto de Matemática e Estatística, Universidade Federal de Goiás, Goiânia, Goiás, CEP: 74690-900, Brazil

Tatiane F. N. Melo is Graduated in Mathematics from the Federal University of Goiás (2002), master’s in Statistics from the Federal University of Pernambuco (2004), PhD (2009) and post-doctorate (2015) in Statistics from the University of São Paulo. She is currently Associate Professor II at the Federal University of Goiás. She has experience in the area of Parametric Inference, with an emphasis on refining asymptotic methods and regression models.

Tiago do Carmo Nogueira, Núcleo de Informática Acessível, Instituto Federal Baiano, Guanambi, Bahia, CEP: 46430-000, Brazil

Tiago do Carmo Nogueira is PhD in Electrical and Computer Engineering from the School of Electrical, Mechanical and Computing Engineering (EMC) at the Federal University of Goiás – UFG (2020). Master in Computer Science from Instituto de Informática (INF), Federal University of Goiás – UFG (2015). Specialist in Networks and Distributed Computing by the Federal Institute of Mato Grosso – IFMT (2018). Specialist in Public Management from the Federal University of Mato Grosso – UFMT (2014). Specialist in Systems Engineering from Escola Superior Aberta do Brasil – ESAB (2010). Graduated in Computing from the State University of Goiás (UEG) and Computer Networks from Faculdade Estácio de Sá (FAESGO). Worked as Information and Communication Technology Coordinator and Internship and Graduates Coordinator at the Federal Institute of Education, Science and Technology of Mato Grosso – IFMT, Campus Barra do Garças (2011–2016). Currently, Tiago Nogueira is a Professor at the Federal Institute of Education, Science and Technology of Bahia – IFBaiano. He has experience in Computer Science, with an emphasis on Computer Vision, Deep Learning, Human-Computer Interaction and Informatics in Education.

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Published

2020-12-10

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Articles