Abstract
Brazil is conducting tests to offer questionnaires on the Web as an option for collecting data for the demographic census. This research aims to contribute to the census's success in approaching human-computer interaction and user experience (UX) design. Our goal is to focus on the respondent, analyze problems of online data collection, and propose strategies to enhance UX design. Citizens responding to the census online is a substantial innovation in obtaining data. This condition is a considerable challenge, as there is an immense diversity of respondents: they will have to interpret the questions and interact independently with the questionnaire. This article sought to comprehend some critical aspects of the interaction and maximize the usability of the online survey. Communication between the questionnaire and citizens must be clear and intuitive to accomplish a satisfactory user experience. This study examined 365 recommendations from census takers – grouped by themes. It developed a set of fourteen proto heuristics for self-administered online questionnaires.
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Notes
- 1.
R$ 3.4 billion (Brazilian Reais). Exchange rate in 01/17/2022: US$ 1 = R$ 5.5350. (Source: Bloomberg).
- 2.
Brazil has teams spread across the country to carry out in-person and telephone interviews, made up of two types of professionals: census takers, who collect data from respondents, and the supervisors, who manage teams of census takers. This article preferred to call these professionals census takers to simplify the comprehension.
- 3.
The notion of a mental model has already been defined by Nielsen as follows: “A mental model is based on belief, not facts: that is, it is a model of what users know (or think they know) about a system.” (Nielsen, J.: Mental Models. (2010). https://www.nngroup.com/ articles/mental-models, accessed 13 Oct 2020). In an online census, one must consider the citizen's expectations about how information should be structured and how its flow should be.
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Tavares, P.Z., Agner, L., Ferreira, S.B. (2022). Demographic Census: Searching for the Best User Experience. In: Soares, M.M., Rosenzweig, E., Marcus, A. (eds) Design, User Experience, and Usability: UX Research, Design, and Assessment. HCII 2022. Lecture Notes in Computer Science, vol 13321. Springer, Cham. https://doi.org/10.1007/978-3-031-05897-4_19
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