This paper introduces the Feral Map, an open online map that brings together different creative practices questioning the dominant extractive, technocentric rendering and legitimising of particular algorithmic futures. Building on its initial development drawn upon open urban tree data, it invites people to explore and engage with their surroundings in creative, unfamiliar ways and share their experiences in the form of stories, using different kinds of media, sensory impressions, and personal expressions. These stories can be offered to existing places and local “creatures” (such as animals, ambiences, and glitches) or become new creatures on their own, emphasising mattering and entanglements: that change is the only constant in life. Through this, the map obscures the currently available–mostly quantitative–data about a place, and can help to raise questions about power, values, and structural inequalities that shape the place and its future. The Feral Map has been evolving to include such stories and creatures–or messy data–from different creative, practice-based research projects. Our paper presents the theoretical framing of the Feral Map and its design, how it has been transforming along with the involved projects, as well as our learnings from the process and possible future directions.
DOCUMENT
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?
DOCUMENT
Abundant HCI research exists on the many assistive technologies that provide help with everyday physical and cognitive tasks. However, while a purely assistive approach often casts aging people in passive roles, recent studies suggest that adults may be ‘flourishing’ way into advanced age, even though implicit ageist prejudices are difficult to eradicate. Negative age-related stereotypes are the hidden and yet urgent issue we address in this study. There is a clear opportunity for an anti-ageist perspective in HCI, an approach that we propose as complementary to assistive technologies: in addition to providing solutions for the aging population, we urgently call for designs about aging, to spark a conversation on age, raise awareness and ultimately contrast ageist stereotypes. We point at empathy as a key element to reconceptualize, at least in part, HCI’s contribution to research on aging. We present a design critique of two interactive pieces that, although not without flaws, suggest how future empathy-raising artifacts might be. Our analysis combines pragmatist aesthetics, interaction criticism and ludology, and yields four design tactics (recurring configurations of significant elements) that are generative in bringing about broader design implications towards a different, empathy-based concept of aging in HCI.
DOCUMENT
