Abstract
Nowadays, voluminous data support may influence decision-making. People with varied profiles need to interact with data to gain valuable insights. There is a need for software tools to support the understanding and management of information to favor Human-Data Interaction (HDI) with a richer user experience. This study explores the combination of HDI design guidelines and participatory approaches to improve user experience in data interaction. We defined a design process to support the activities and adapted participatory practices to facilitate HDI design. We conducted workshops with inexperienced designers developing information visualization applications for common-sense domains. They generated and analyzed several application prototypes. Results suggest that design guidelines help generate HDI-based prototypes with a good user experience.
Publisher
Sociedade Brasileira de Computacao - SB
Reference55 articles.
1. Alben, L. (1996). Quality of experience: defining the criteria for effective interaction design. interactions, 3(3):11-15. DOI: 10.1145/235008.235010.
2. Amar, R., Eagan, J., and Stasko, J. (2005). Low-level components of analytic activity in information visualization. Proceedings - IEEE Symposium on Information Visualization, INFO VIS, pages 111-117. DOI: 10.1109/INFVIS.2005.1532136.
3. Baldonado, M. Q. W., Woodruff, A., and Kuchinsky, A. (2000). Guidelines for using multiple views in information visualization. In Proceedings of the working conference on Advanced visual interfaces, pages 110-119, Palermo, Italy. ACM, NY-United States. DOI: 10.1145/345513.345271.
4. Baranauskas, M. C. C. (2014). Social awareness in HCI. Interactions, 21(4):66-69. DOI: 10.1145/2621933.
5. Baranauskas, M. C. C., Martins, M. C., and Valente, J. A. (2013). Codesign de Redes Digitais: tecnologia e educação a serviço da inclusão social. Book.