Sensing the Everyday is a multi-sited ethnographic inquiry based on fieldwork experiences and sharp everyday observations in the era of crisis. Blending sophisticated theoretical analyses with original ethnographic data, C. Nadia Seremetakis journeys from Greece to Vienna, Edinburgh, Albania, Ireland, and beyond. Social crisis is seen through its transnational multiplication of borders, thresholds and margins, divisions, and localities as linguistic, bodily, sensory, and performative sites of the quotidian in process. The book proposes everyday life not as a sanctuary or as a recessed zone distanced from the structural violence of the state and the market, but as a condition of im/possibility, unable to be lived as such, yet still an encapsulating habitus. There the impossibility of the quotidian is concretized as fragmentary and fragmenting material forces. Seremetakis weaves together topics as diverse as borders and bodies, history and death, the earth and the senses, language and affect, violence and public culture, the sociality of dreaming, and the spatialization of the traumatic, in a journey through antiphonic witnessing and memory. Her montage explores various ways of juxtaposing reality with the irreal and the imaginal to expose the fictioning of social reality. The book locates her approach to ethnography and the ‘native ethnographer’ in wider anthropological and philosophical debates, and proposes a dialogical interfacing of theory and practice, the translation of academic knowledge to public knowledge

Sensors were developed to detect and quantify structures and functions of human body as well as to gather information from the environment in order to optimize the efficiency, cost-effectiveness and quality of healthcare services as well as to improve health and quality of life. This book offers an up-to-date overview of the concepts, modeling, technical and technological details and practical applications of different types of sensors. It also discusses the trends for the next generation of sensors and systems for healthcare settings. It is aimed at researchers and graduate students in the field of healthcare technologies, as well as academics and industry professionals involved in developing sensing systems for human body structures and functions, and for monitoring activities and health.

How we are tracked, surveilled, tantalized, and seduced by machines ranging from smart watches and Roombas to immersive art installations. Sensing machines are everywhere in our world. As we move through the day, electronic sensors and computers adjust our thermostats, guide our Roombas, count our steps, change the orientation of an image when we rotate our phones. There are more of these electronic devices in the world than there are people—in 2020, thirty to fifty billion of them (versus 7.8 billion people), with more than a trillion expected in the next decade. In Sensing Machines, Chris Salter examines how we are tracked, surveilled, tantalized, and seduced by machines ranging from smart watches and mood trackers to massive immersive art installations. Salter, an artist/scholar who has worked with sensors and computers for more than twenty years, explains that the quantification of bodies, senses, and experience did not begin with the surveillance capitalism practiced by Facebook, Amazon, Netflix, and Google but can be traced back to mathematical and statistical techniques of the nineteenth century. He describes the emergence of the “sensed self,” investigating how sensor technology has been deployed in music and gaming, programmable and immersive art environments, driving, and even eating, with e-tongues and e-noses that can taste and smell for us. Sensing technology turns our experience into data; but Salter’s story isn’t just about what these machines want from us, but what we want from them—new sensations, the thrill of the uncanny, and magic that will transport us from our daily grind.

Our bodies are archives of sensory knowledge that shape how we understand the world. If our environment changes at an unsettling pace, how will we make sense of a world that is no longer familiar? One of Canada's premier historians tackles this question by exploring situations in the recent past where state-driven megaprojects and regulatory and technological changes forced ordinary people to cope with transformations that were so radical that they no longer recognized their home and workplaces or, by implication, who they were. In concert with a ground-breaking, creative, and analytical website, megaprojects.uwo.ca, this timely study offers a prescient perspective on how humans make sense of a rapidly changing world.

This book offers a snapshot of cutting-edge applications of digital phenotyping and mobile sensing for studying human behavior and planning innovative e-healthcare interventions. The respective chapters, written by authoritative researchers, cover both theoretical perspectives and good scientific and professional practices related to the use and development of these technologies. They share novel insights into established applications of mobile sensing, such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns, and highlight emerging trends, such as the use of machine learning, big data and deep learning approaches, and the combination of mobile sensing with AI and expert systems. Important issues relating to privacy and ethics are analyzed, together with selected case studies. This thoroughly revised and extended second edition provides researchers and professionals with extensive information on the latest developments in the field of digital phenotyping and mobile sensing. It gives a special emphasis to trends in diagnostics systems and AI applications, suggesting important future directions for research in public health and social sciences.

How can culture and experience be conceptualized when theorists drag social meaning back and forth between institutions, objects, or acts, as if the dense communication between persons and things were only a quick exchange between surfaces? This volume challenges mentalist approaches to material culture through the historical and ethnographic analyses of sensory memory. The sensory landscape and its meaning-endowed objects bear within them emotional and historical sedimentation that pose crucial questions: What cultural practices enable the sensory-affective experience of history? How does the history of perception speak to the perception of history? The editor, in her four essays, discusses sensory memory as a cultural form not limited to the psychic apparatus of a monadic, pre-cultural, and ahistorical subject but embedded and embodied in a dispersed surround of created things, surfaces, depths, and densities that are stratigraphic sites of sensory biography and history. The volume demonstrates that any ethnographic discussion of the senses involves a priori claims about modernity. Thus the senses are explored in contemporary political and racial violence, exchange practices, the emotions, national identity, food-ways, spatial organization, leisure activity, and the electronic media. Well-known authors examine personal and social investments in objects and substances as the tip of a submerged collective language of materiality that firmly grasps the mutable structure of contemporary experience. Social memory is treated as a meta-sensory organ and shown to be a culturally mediated performance that is activated by material acts and emotionally tangible artifacts.

How can large-scale, real-time, and real-world data on people’s behaviors, interactions, and environments improve psychological measurement, or lead to customized psychological interventions? Written expressly for social and behavioral scientists, this cutting-edge handbook describes the key concepts and tools of mobile sensing and explains how to plan and conduct a mobile sensing study. Renowned experts address the whats, whys, and how-tos of collecting "big data" using smartphones and other wearables, and explore which research questions can best be addressed with these tools. Modern statistical methods for analyzing mobile sensing data are described--for example, dynamic structural equation modeling, network modeling, and machine learning, including deep neural networks. The book includes best-practice research examples of applications in clinical psychology, aging, neuroscience, health, emotions, relationships, personality, the workplace, and other areas. Key methodological challenges and ethical/privacy issues are highlighted throughout.