Created for the 2019 Prague Quadrennial’s 36Q°, Blue Hour VR was a site-responsive mixed reality performative installation that placed the spectator, as experiencer, within a hybrid landscape of real- time three-dimensional computer graphics and 360-degree video. This article describes the design process, staging and experience of Blue Hour VR from the vantage point of its creators. Using a phenomenological perspective, the article discusses how Blue Hour VR staged presence and embodiment within an intermedial haptic experience. Blue Hour VR demonstrates how virtual reality technology can be harnessed by a mixed reality performance design, which includes both the material and virtual environment, creating a complex stratigraphy of intermedial textures and visual dramaturgies that co-exist inside, outside and in between perceptual realities. In doing so, the article aims to contribute to the limited body of work on mixed and virtual reality in the context of theatre and performance design.
This paper introduces and contextualises Climate Futures, an experiment in which AI was repurposed as a ‘co-author’ of climate stories and a co-designer of climate-related images that facilitate reflections on present and future(s) of living with climate change. It converses with histories of writing and computation, including surrealistic ‘algorithmic writing’, recombinatory poems and ‘electronic literature’. At the core lies a reflection about how machine learning’s associative, predictive and regenerative capacities can be employed in playful, critical and contemplative goals. Our goal is not automating writing (as in product-oriented applications of AI). Instead, as poet Charles Hartman argues, ‘the question isn’t exactly whether a poet or a computer writes the poem, but what kinds of collaboration might be interesting’ (1996, p. 5). STS scholars critique labs as future-making sites and machine learning modelling practices and, for example, describe them also as fictions. Building on these critiques and in line with ‘critical technical practice’ (Agre, 1997), we embed our critique of ‘making the future’ in how we employ machine learning to design a tool for looking ahead and telling stories on life with climate change. This has involved engaging with climate narratives and machine learning from the critical and practical perspectives of artistic research. We trained machine learning algorithms (i.e. GPT-2 and AttnGAN) using climate fiction novels (as a dataset of cultural imaginaries of the future). We prompted them to produce new climate fiction stories and images, which we edited to create a tarot-like deck and a story-book, thus also playfully engaging with machine learning’s predictive associations. The tarot deck is designed to facilitate conversations about climate change. How to imagine the future beyond scenarios of resilience and the dystopian? How to aid our transition into different ways of caring for the planet and each other?
This paper introduces a design case that was built around the challenge to design a prototype for women that would positively influence their perception of personal safety in public spaces. The proposed design combines an individual focus with a public impact, influencing emotions through embodiment by introducing a necklace that reminds the wearer to walk straight and as a result, influence felt emotions such as confidence and prevent feelings of unsafety caused by slouching. In this paper, a prototype for wearable technology called PosturAroma is introduced: a fashionable necklace with a sensor that detects slouched body posture and reminds the user to stand straight by giving out a discrete scent.
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