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Sensing in Social Interaction

Author : Lorenza Mondada
Publisher : Cambridge University Press
Page : 632 pages
File Size : 39,2 MB
Release : 2021-11-04
Category : Psychology
ISBN : 1108657656

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This book offers a novel perspective on how people engage in sensing the materiality of the world as a way of social interaction. It proposes a conceptual and analytical advance in how to approach sensing as an intersubjective and interactional phenomenon within the framework of conversation analysis and ethnomethodology. Based on a uniquely rich set of video-recorded data, the author shows how people reacting to cheese in gourmet shops across Europe highlights the part the senses play in human behaviour and communication. The multimodal analysis of the case studies reveals the systematic features of looking, touching, smelling, and tasting in situated activities. By blending interdisciplinary research with real life, the volume puts together a theoretical and methodological framework for studying the embodied and linguistic dimensions of sensing in interaction.

Social Sensing

Author : Dong Wang
Publisher : Morgan Kaufmann
Page : 232 pages
File Size : 29,37 MB
Release : 2015-04-17
Category : Computers
ISBN : 0128011319

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Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book

Social Sensing and Big Data Computing for Disaster Management

Author : Zhenlong Li
Publisher : Routledge
Page : 233 pages
File Size : 32,66 MB
Release : 2020-12-17
Category : Social Science
ISBN : 1000261530

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Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

Touch in Social Interaction

Author : Asta Cekaite
Publisher : Routledge
Page : 334 pages
File Size : 14,3 MB
Release : 2020-07-15
Category : Language Arts & Disciplines
ISBN : 1000069583

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Rooted in multimodal conversation analysis and based on video recordings of naturally occurring social interactions, this book presents a novel analytical perspective for the study of touch. The authors focus on how different forms of touch are interactionally organized in everyday, institutional, and professional practices, showing how touch is multimodally achieved in social interaction, how it acquires its significance, how it is embedded in the current activity and in its social context, and how it is systematically intertwined with talk, facial expressions, and body posture. Including work by a wide range of renowned researchers, this volume provides rich visual illustrations of situations featuring touch as a social and intersubjective practice. The studies make a compelling contribution to the field by clearly examining and demonstrating the social meaning of touch for the participants in social interaction in a broad range of contexts. Presenting a new methodology for the study of touch, this is key reading for all researchers and scholars working in conversation analysis, multimodality, and related areas.

People and Pixels

Author : National Research Council
Publisher : National Academies Press
Page : 267 pages
File Size : 48,45 MB
Release : 1998-06-21
Category : Science
ISBN : 0309064082

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Space-based sensors are giving us an ever-closer and more comprehensive look at the earth's surface; they also have the potential to tell us about human activity. This volume examines the possibilities for using remote sensing technology to improve understanding of social processes and human-environment interactions. Examples include deforestation and regrowth in Brazil, population-environment interactions in Thailand, ancient and modern rural development in Guatemala, and urbanization in the United States, as well as early warnings of famine and disease outbreaks. The book also provides information on current sources of remotely sensed data and metadata and discusses what is involved in establishing effective collaborative efforts between scientists working with remote sensing technology and those working on social and environmental issues.

Selected Papers from the 5th International Electronic Conference on Sensors and Applications

Author : Francisco Falcone
Publisher : MDPI
Page : 392 pages
File Size : 40,23 MB
Release : 2020-12-29
Category : Technology & Engineering
ISBN : 3039288490

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This Special Issue comprises selected papers from the proceedings of the 5th International Electronic Conference on Sensors and Applications, held on 15–30 November 2018, on sciforum.net, an online platform for hosting scholarly e-conferences and discussion groups. In this 5th edition of the electronic conference, contributors were invited to provide papers and presentations from the field of sensors and applications at large, resulting in a wide variety of excellent submissions and topic areas. Papers which attracted the most interest on the web or that provided a particularly innovative contribution were selected for publication in this collection. These peer-reviewed papers are published with the aim of rapid and wide dissemination of research results, developments, and applications. We hope this conference series will grow rapidly in the future and become recognized as a new way and venue by which to (electronically) present new developments related to the field of sensors and their applications.

Human Behavior Analysis: Sensing and Understanding

Author : Zhiwen Yu
Publisher : Springer Nature
Page : 277 pages
File Size : 24,45 MB
Release : 2020-02-29
Category : Computers
ISBN : 9811521093

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Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.

People Analytics

Author : Ben Waber
Publisher : FT Press
Page : 303 pages
File Size : 47,89 MB
Release : 2013-04-24
Category : Business & Economics
ISBN : 0133158330

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Discover powerful hidden social "levers" and networks within your company... then, use that knowledge to make slight "tweaks" that dramatically improve both business performance and employee fulfillment! In People Analytics, MIT Media Lab innovator Ben Waber shows how sensors and analytics can give you an unprecedented understanding of how your people work and collaborate, and actionable insights for building a more effective, productive, and positive organization. Through cutting-edge case studies, Waber shows how: Changing the way call center employees spent their breaks increased performance by 25% while significantly reducing stress Quantifying the failure of marketing and customer service to communicate led to a more cohesive and profitable organization Tweaking the balance of in-person and electronic communication can enhance the value of both Sensor data can help you discover who your internal experts really are Identifying employees involved in "creative" behaviors can help you promote innovation throughout your business Sensors and simulations can help you optimize your sick-day policies Measuring informal interactions can improve the chances that a merger, acquisition, or "mega-project" will succeed Drawing on his cutting-edge work at MIT and Harvard, Waber addresses crucial issues ranging from technology to privacy, revealing what will be possible in a few years, and what you can achieve right now. In bringing the power of analytics to organizational development, he offers immense new opportunities to everyone with responsibility for workplace performance.

Social Interaction

Author : Michael Argyle
Publisher :
Page : pages
File Size : 19,66 MB
Release : 2017
Category : PSYCHOLOGY
ISBN : 9781315129556

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Ethnomethodological Conversation Analysis in Motion

Author : Pentti Haddington
Publisher : Taylor & Francis
Page : 224 pages
File Size : 26,47 MB
Release : 2023-09-29
Category : Language Arts & Disciplines
ISBN : 1000938271

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This volume discusses current and emerging trends in Ethnomethodological Conversation Analysis (EMCA). Focusing on step-by-step procedures of talk and interaction in real time, EMCA explores how people – through locally-produced, public, and common-sensical practices – accomplish activities together and thereby make sense and create social order as part of their everyday lives. The volume is divided into four parts, and it provides a timely methodological contribution by exploring new questions, settings, and recording technologies in EMCA for the study of social interaction. It addresses the methodical diversity in EMCA, including current practices as well as those testing its boundaries, and paves the way for the development of future interaction research. At the same time, the book offers readers a glimpse into the ways in which human and non-human participants operate with each other and make sense of the world around them. The authors represent diverse fields of research, such as language studies, sociology, social psychology, human-computer interaction, and cognitive science. Ultimately, the book is a conversation opener that invites critical and constructive dialogue on how EMCA’s methodology and toolbox could be developed for the purpose of acquiring richer perspectives on endogenous social action. This is key reading for researchers and advanced students on a range of courses on conversation analysis, language in interaction, discourse studies, multimodality, and more.