ELIOT SALANDY BROWN
In 2016, we set out to understand the future of driverless mobility—and specifically, how a mobility company can build products and services that will optimize the relationships between people and advanced assistive systems in an increasingly automated future. This case study will shed light on how an ethnographic approach inspired by actor-network theory allowed us to look closely at human-system interactions, build a unique perspective on the forms of agency people value most, and understand how mobility companies can harness this understanding to build automated systems that strengthen their relationships with consumers.
Drawing from the core tenets of actor-network theory, our research placed an emphasis not on individuals or even broader social ecologies—but rather, shifting networks of relationships between humans, objects, ideas, and processes. We divided our resources between two research tracks: i) human mobility, studying the complex network of relationships...
CHLOÉ HUIE BRICKERT
As part of an international research conducted for a French car manufacturer, a team of anthropologists and designers were asked to analyze the use of a car diagnostic tool by mechanics in their garages, in order to recommend ways of improving it. A single glance at the diagnostic tool’s interface was enough to get a feel for mechanics’ new reality: lines of codes and numbers, webpages filled with blue hyperlinks leading to readymade repair methods. Does being a mechanic in an automation era mean anything anymore? Based on findings from a study conducted in 5 countries with mixed ethnographic and UX methods, this case study explicits the interest of understanding mechanics as a profession – or even more, as an art – before studying the use of the tool itself, and mostly, it demonstrates how solutions can be contained in agency – and how design and tech teams can find inspiration from bypasses, local initiatives, and informal rituals. From supervising an international...
Facebook Reality Labs*Lead co-authors
The not-too-distant future may bring more ubiquitous personal computing technologies seamlessly integrated into people's lives, with the potential to augment reality and support human cognition. For such technology to be truly assistive to people, it must be context-aware. Human experience of context is complex, and so the early development of this technology benefits from a collaborative and interdisciplinary approach to research — what the authors call “hybrid methodology” — that combines (and challenges) the frameworks, approaches, and methods of machine learning, cognitive science, and anthropology. Hybrid methodology suggests new value ethnography can offer, but also new ways ethnographers should adapt their methodologies, deliverables, and ways of collaborating for impact in this space. This paper outlines a few of the data collection and analysis approaches emerging from hybrid methodology, and learnings about impact and team collaboration,...
GSuite is changing the nature of Knowledge Work across 5 million businesses through AI-powered assistance. To ensure that this evolution reflects the aspirations and priorities of workers, Google and Stripe Partners conducted a multi-national ethnography of Knowledge Workers covering a range of industries. We identified that workers distinguish between ‘Core’ and ‘Peripheral’ work: the work they are paid to do and identify with, and the work that does not contribute to their success or happiness. Workers want assistance to enhance Core work and remove Peripheral work, nuanced across a spectrum of support. This framework and taxonomy has been adopted by teams at Google to inform strategic decisions on how AI is integrated by GSuite. New features are being implemented within Gmail, Slides, Docs and Sheets that bring these principles to life in the user experience....