This paper investigates the relationship between design research and humancomputer interaction (HCI) in the context of climate change communication and engagement. We discuss current practices in climate change communication and the decrease in concern and engagement caused by “crisis fatigue”. Through Research through Design (RtD), we set out to investigate data humanism and how users react to climate change data, testing approaches to improve engagement. With this purpose, we designed and evaluated Finding Arcadia, an interactive data story that uses data humanism to shift the dialogue from crisis-focused to action-focused. One study with the original IMF visualisations (N = 17) and two studies in public spaces (N = 12 and N = 64) point to the contextualization of the data and presenting actionable solutions helping in engaging users with climate change issues; help in creating solution-focused narratives and interpreting and relating with climate data. From these results, we derive insights for designing empowering interactive data visualizations for resilient climate change engagement.

As more people are connected to the Internet, researchers have been growingly concerned with Internet addiction and the psychological attributes connected to it. The aim of this study is to examine the relationship between Internet addiction and self-esteem. The sample included 1399 Portuguese and Brazilian Internet users, from 14 to 83 years old, who responded to the Internet Addiction Test (IAT) (Young, K. (1998b) Caught in the Net: How to recognize the signs of Internet addiction and a winning strategy for recovery, John Wiley & Sons, Inc., New York) and the Rosenberg Self-Esteem Scale (RSES) (Rosenberg, M. (1989) Society and the adolescent self-image, Wesleyan University Press, Middle Town). A factor analysis of the IAT was conducted, revealing three factors: withdrawal & concealment, social & personal consequences, and excessive use. Using a Pearson correlation, we found a negative correlation between Internet addiction and self-esteem. Linear regression indicated that low self-esteem explained 11% of Internet addiction, and that negative feelings caused by Internet addiction (withdrawal & concealment) explained 13% of self-esteem. In the analysis of the IAT, we found that the groups exhibiting elevated levels of Internet addiction included men, Brazilians, and youths (14–25 years old).