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- Brodersen, Meike, 1986-, et al.
(author)
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Automating the first and last mile? Reframing the ‘challenges’ of everyday mobilities
- 2024
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In: Mobilities. - Abingdon : Routledge. - 1745-0101 .- 1745-011X. ; 19:1, s. 87-102
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Journal article (peer-reviewed)abstract
- In this article, we interrogate the utility of conceptualising the ‘first and last mile’ (FLM) as a ‘challenge’ to be addressed through automated and integrated mobility services. We critically engage with the concept through a design anthropological approach which takes two steps so as: to complicate literatures that construct the FLM as a place where automated, service-based and micro-mobility innovations will engender sustainable modal choices above individual automobility; and to demonstrate how people’s situated mobility competencies and values, shape social and material realities and future imaginaries of everyday mobilities. To do so, we draw on ethnographic research into everyday mobility practices, meanings and imaginaries in a suburban neighbourhood in Sweden. We show how locally situated mobilities both challenge the spatial and temporal underpinnings of the first and last mile concept, and resist universalist technology-driven automation narratives. We argue that instead of attempting to bridge gaps in seemingly linear journeys through automated systems, there is a need to account for the practices, tensions and desires embedded in everyday mobilities. © 2023 The Author(s).
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Everyday Automation : Experiencing and Anticipating Emerging Technologies
- 2022. - 1
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Editorial collection (peer-reviewed)abstract
- This Open Access book brings the experiences of automation as part of quotidian life into focus. It asks how, where and when automated technologies and systems are emerging in everyday life across different global regions? What are their likely impacts in the present and future? How do engineers, policy makers, industry stakeholders and designers envisage artificial intelligence (AI) and automated decision-making (ADM) as a solution to individual and societal problems? How do these future visions compare with the everyday realities, power relations and social inequalities in which AI and ADM are experienced? What do people know about automation and what are their experiences of engaging with ‘actually existing’ AI and ADM technologies? An international team of leading scholars bring together research developed across anthropology, sociology, media and communication studies, and ethnology, which shows how by re-humanising automation, we can gain deeper understandings of its societal impacts.
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- Fors, Vaike, 1969-, et al.
(author)
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Capturing the Ordinary : Imagining the User in Designing Automatic Photographic Lifelogging Technologies
- 2016
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In: Lifelogging. - Wiesbaden : Springer. - 9783658131364 - 9783658131371 ; , s. 111-128
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Book chapter (peer-reviewed)abstract
- In this chapter we discuss how automatic wearable cameras are imagined by their designers. Such technologies have most often been approached from a user perspective, which overlooks how developers invest their personal experiences and emotions into the technologies. Focusing on the Narrative clip - a camera that takes a photo every 30 seconds, we show how developers its developers have imagined this camera as a device that enables people to gain access to the assumed authenticity of a recordable world, that exists externally to the human wearing the device. As this example shows, when we account for developers’ visions and imaginations, particular stories emerge. Thus, we argue it is important to account for these and the agency they might have in the possibilities created by automated technologies. © Springer Fachmedien Wiesbaden 2016
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- Fors, Vaike, 1969-, et al.
(author)
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How do we learn to know a self-driving car? : A pedagogical design anthropology approach to human - technology interaction
- 2018
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Conference paper (peer-reviewed)abstract
- How will autonomous driving (AD) features change how people will relate to, and act in and with cars? To understand these and similar questions, research within human-computer interaction (HCI) is concerned with how people will react and interact with the autonomous driving features while driving a self-driving car, and how these features can be designed to be perceived as both easy to use and useful. In this paper we demonstrate how a pedagogical design anthropological approach can push this agenda further by introducing a way of understanding use of AD that accounts for how technologies become meaningful in the contexts of the mundane everyday life circumstances in which they are actually used. This approach entails understanding use of technology beyond the moment of human-technology interaction, as a process in which experiential ways of knowing take over from rational action, and meaning becomes generated through the ongoing use of technologies in everyday life processes. In the context user experience of AD, this translates into a focus on how people learn to use AD features, and to imagine possible experiences of AD in ways that are situated in the mundane routines of everyday life.We will draw on our ethnographic research into everyday life experiences and expectations of AD cars undertaken between 2016-18, to demonstrate how people need these technologies to become part of their everyday lives, and subsequently need to learn to use them in order to accomplish everyday goals.
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- Fors, Vaike, 1969-, et al.
(author)
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Imagining Personal Data : Experiences of Self-Tracking
- 2019. - 1
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Book (peer-reviewed)abstract
- Digital self-tracking devices and data have become normal elements of everyday life. Imagining Personal Data examines the implications of the rise of body monitoring and digital self-tracking for how we inhabit, experience and imagine our everyday worlds and futures. Through a focus on how it feels to live in environments where data is emergent, present and characterized by a sense of uncertainty, the authors argue for a new interdisciplinary approach to understanding the implications of self-tracking, which attends to its past, present and possible future. Building on social science approaches the book accounts for the concerns of scholars working in design, philosophy and human-computer interaction. It problematizes the body and senses in relation to data and tracking devices, presents an accessible analytical account of the sensory and affective experiences of self-tracking, and questions the status of big data. In doing so, the book proposes an agenda for future research and design that puts people at its centre.
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- Fors, Vaike, et al.
(author)
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Imagining Personal Data : Experiences of Self-Tracking
- 2020
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Book (other academic/artistic)abstract
- As technology has become more advanced, self-tracking devices and data have become normal elements of everyday life. Imagining Personal Data examines the implications of the rise of body monitoring and digital self-tracking for how we inhabit, experience and imagine our everyday worlds. Through a focus on how it feels to live in environments where data is emergent, present, and characterised by a sense of uncertainty, the authors argue for a new approach to understanding the implications of self-tracking, and questions what this means for the status of big data. With contributions ranging across the social sciences, the book brings together the concerns of scholars working in design, social sciences, philosophy, and human-computer interaction. It problematizes the body and senses in relation to data and tracking devices, and presents an accessible analytical account of the sensory and affective experiences of self-tracking.
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- Fors, Vaike, 1969-, et al.
(author)
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Investigating ADM in Shared Mobility : A design ethnographic approach
- 2022. - 1
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In: Everyday Automation. - London : Routledge. - 9780367773403 - 9780367773380 - 9781003170884 ; , s. 197-212
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Book chapter (peer-reviewed)abstract
- In this chapter, we demonstrate how a design ethnographic approach to future algorithm-powered mobility solutions opens up possibilities to research social implications of automated decision making (ADM) from a situational perspective, by investigating the context of ADM rather than simply observing the technology itself and how it is used. The context of our discussion is one where the development of autonomous vehicles and artificial intelligence (AI) applications, in the service of transportation, has sparked a renewed research interest into shared mobility systems, and how these can respond to emerging challenges of rising traffic congestion and pollution levels. Our research addresses the gap between algorithm-based approaches to designing for optimizing, streamlining, and efficiency, the questions of how these systems and services are activated in people’s everyday life, and how they interfere with decision-making around traveling and shared mobility. We argue that to understand how these services and technologies will be adopted and implemented in society, research attention must be directed to people in real-life situations where this type of ADM operates.
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