Paul Watson

The GREAT (Games Realising Effective and Affective Transformation) project explores new approaches that foster climate change discussion and stimulate citizen reflection. However, some citizens have limited resources for participation, even though their engagement and contributions are crucial. To address this challenge, the authors present two studies that have deployed mini data sprints (MDS). The MDS approach uses interactive data applications and visualisations to provoke citizens? feelings, knowledge, and perspectives towards the climate conversation and presented data. These studies highlight how the MDS approach can provide data set recommendations, facilitate efficient and focused climate conversation, and improve the data literacy of the cohort.

Procedural training within medical education relies heavily on skill practice. This training requires developing a cognitive understanding of a procedure to prime learners before motor skill trials. With the high demand and costs of specialist equipment, virtual reality (VR) is poised to provide accessible content to develop cognitive understanding, and bridge the gap between knowledge and practice outside of dedicated training centres. Previous work in this field has focused on knowledge transfer, which is important yet insufficient to understand the interplay of instruction, usability, presence, and experience. All of which could impact learning outcomes and frequency of use. To have a more nuanced view of VR medical training beyond its knowledge transfer capability, we integrate HCI & games perspectives into our evaluation approach appraising the VR Bronchoscope Assembly (VR-Bronch) training.