Authors:
Maylon Macedo
;
Gabriel Teixeira
;
Ariel Campos
and
Luciana Zaina
Affiliation:
Federal University of São Carlos (UFSCar), São Paulo, Brazil
Keyword(s):
Lean Personas, User Experience, UX, UX Data, Requirement Elicitation, Information Visualization.
Abstract:
The interest in exploring User Experience (UX) data to support the requirement elicitation of interactive systems is not new. Although the literature discusses traditional methods to gather UX data (e.g., interviews and surveys), personas have arisen as a more user-centered technique that presents information about users’ needs, preferences, and characteristics about the application domain. Nonetheless, persona data is often represented from qualitative data in textual format, which can insert difficulties in browsing and exploring a set of personas. This paper aims to present visualizations designed using Information Visualization (InfoVis) principles that support the navigation and search-out UX data in a persona dataset. To aid in eliciting UX-related requirements, our visualizations are based on a funnel perspective that guides designers and developers to examine data from an overview first, then zoom and filter, to achieve the qualitative data in detail finally. We evaluated wit
h 20 participants concerning the interpretation of the visualizations. The results revealed that the participants, even those with little experience in requirement elicitation, could interpret and find relevant UX data from the visualizations.
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