self-driving cars

Designing for Interactions with Automated Vehicles: Ethnography at the Boundary of Quantitative-Data-Driven Disciplines

MARKUS ROTHMÜLLER School of Architecture, Design and Planning, Aalborg University Copenhagen, Denmark and Shift Insights & Innovation Consulting PERNILLE HOLM RASMUSSEN School of Architecture, Design and Planning, Aalborg University Copenhagen, Denmark SIGNE ALEXANDRA VENDELBO-LARSEN School of Architecture, Design and Planning, Aalborg University Copenhagen, Denmark Case Study—This case study presents ethnographic work in the midst of two fields of technological innovation: automated vehicles (AV) and virtual reality (VR). It showcases the work of three MSc. Techno-Anthropology students and their collaboration with the EU H2020 project ‘interACT’, sharing the goal to develop external human-machine interfaces (e-HMI) for AVs to cooperate with human road users in urban traffic in the future. The authors reflect on their collaboration with human factor researchers, data scientists, engineers, experimental researchers, VR-developers and HMI-designers, and on experienced challenges between the paradigms of qualitative and quantitative...

Scale, Nuance, and New Expectations in Ethnographic Observation and Sensemaking

ALEXANDRA ZAFIROGLU Intel Corporation YEN-NING CHANG Intel Corporation Case Study—We consider new expectations for ethnographic observation and sensemaking in the next 20-25 years, as technology industry ethnographers' work unfolds in the increasing presence of the type of analytical capabilities specially trained (and self-training) machines can do ‘better’ and ‘cheaper’ than humans as they can take in, analyze and model digital data at much higher volumes and with an attention to nuance not achievable through human cognition alone. We do so by re-imagining three of our existing ethnographic research projects with the addition of very specific applications of machine learning, computer vision, and Internet of Things sensing and connectivity technologies. We draw speculative conclusions about: (1) how data in-and-of-the world that drives tech innovation will be collected and analyzed, (2) how ethnographers will approach analysis and findings, and (3) how the evidence produced by ethnographers will be evaluated and validated....

Speculating about Autonomous Futures: Is This Ethnographic?

by MELISSA CEFKIN & ERIK STAYTON, Nissan Research Center As researchers working on automated vehicles, we are grappling with fundamental questions about how to do research and design for the future. Or, to be more precise, how can we tap into and participate in futures that are in the process of being made, that may both reproduce and rearrange experiences of today? One of the questions we must ask is, what is autonomy to begin with? In the era of the rise of increasingly self-acting machines, what exactly will these machines be autonomous from? How are people grappling with shifting perceptions and experiences of autonomy? Our research has explored how people confront ideas about what the future may hold and, more profoundly, how reconfigurations of socio-technical systems today confront them in their own notions of autonomy. Our paper about one of our research projects on this topic was accepted for EPIC2017, but not without some interesting debate. Anonymous peer reviewers raised a question about whether the work we...