Participatory evaluation of human-data interaction design guidelines

Abstract

The design of visual analytics tools for facilitating human-data interaction (HDI) plays a key role to help people identifying useful knowledge from large masses of data. Designing data visualization based on guidelines is relevant. However, it is necessary to further promote the engagement of people in evaluation activities in the design process. Stakeholders need to comprehend the guidelines to help with the evaluation results and design decisions. In this paper, we propose participatory evaluation practices based on HDI design guidelines. The practices aim to create the conditions to participants from any profile collaborate with the design guidelines evaluation. The practices were used on a design problem involving interactions with coordinated visualization. The context of application was a visual analytic tool supporting decisions related to the production strategy in oil reservoirs with the participation of key stakeholders. The results indicate that participants were able to understand the design guidelines and took advantage from them in the design decisions.