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"The term ""Office Automation"" implies much and means little. The word ""Office"" is usually reserved for units in an organization that have a rather general function. They are supposed to support different activities, but it is notoriously difficult to determine what an office is supposed to do. Automation in this loose context may mean many different things. At one extreme, it is nothing more than giving people better tools than typewriters and telephones with which to do their work more efficiently and effectively. At the opposite extreme, it implies the replacement of people by machines which perform office procedures automatically. In this book we will take the approach that ""Office Automation"" is much more than just better tools, but falls significantly short of replacing every person in an office. It may reduce the need for clerks, it may take over some secretarial functions, and it may lessen the dependence of principals on support personnel. Office Automation will change the office environment. It will eliminate the more mundane and well understood functions and will highlight the decision-oriented activities in an office. The goal of this book is to provide some understanding of office . activities and to evaluate the potential of Office Information Systems for office procedure automation. To achieve this goal, we need to explore concepts, elaborate on techniques, and outline tools."

This book offers all important industrial communication systems for buildings in one single book! It stimulates a basic understanding of network and bus systems for the automation of buildings. After an introduction to EIB/KNX, LON und BACnet technologies, the authors illustrate how these systems can be utilized for specific applications, like air conditioning or illumination. This book assumes only a basic knowledge of mathematics and thanks to its simple explanations and many examples is ideal for students and professional engineers who require practical solutions. Numerous practical examples explain basic concepts of industrial communication technology as well as the procedure for the transmission of digital data. All chapters have been thoroughly revised for the 2nd edition and the book includes the latest technical developments and standards.

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This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour’s increasing automation.

This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. This book is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This book for the GSIS emphasizes main thematic areas: manufacturing, services and user experience. Main areas of coverage include Section A: Advanced Production Management and Production Control; Section B: Healthcare Automation; Section C: Measuring and Modeling Human Performance; Section D: Usability and User Experience; Section E: Safety Management and Occupational Ergonomics; Section F: Manufacturing and Services; Section G: Data and Probabilistic Information; Section H: Training and Collaboration Technologies. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction International and Applied Human Factors and Ergonomics International (AHFE), both within the Lecture Notes in Springer. The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives.