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| Author | : JIN-HEE CHO |
| Publisher | : Infinite Study |
| Total Pages | : 40 |
| Release | : |
| Genre | : |
| ISBN | : |
The concept of trust and/or trust management has received considerable attention in engineering research communities as trust is perceived as the basis for decision making in many contexts and the motivation for maintaining long-term relationships based on cooperation and collaboration.
| Author | : Yan, Zheng |
| Publisher | : IGI Global |
| Total Pages | : 598 |
| Release | : 2010-01-31 |
| Genre | : Education |
| ISBN | : 1615206833 |
"This book investigates various definitions of trust and their characteristics in distributed systems and digital computing, and details how to model and implement trust in a digital system"--Provided by publisher.
| Author | : Sibel Adali |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 90 |
| Release | : 2014-07-08 |
| Genre | : Computers |
| ISBN | : 1461470315 |
We make complex decisions every day, requiring trust in many different entities for different reasons. These decisions are not made by combining many isolated trust evaluations. Many interlocking factors play a role, each dynamically impacting the others. In this brief, "trust context" is defined as the system level description of how the trust evaluation process unfolds. Networks today are part of almost all human activity, supporting and shaping it. Applications increasingly incorporate new interdependencies and new trust contexts. Social networks connect people and organizations throughout the globe in cooperative and competitive activities. Information is created and consumed at a global scale. Systems, devices, and sensors create and process data, manage physical systems, and participate in interactions with other entities, people and systems alike. To study trust in such applications, we need a multi-disciplinary approach. This book reviews the components of the trust context through a broad review of recent literature in many different fields of study. Common threads relevant to the trust context across many application domains are also illustrated. Illustrations in the text © 2013 Aaron Hertzmann. www.dgp.toronto.edu/~hertzman
| Author | : Xin Liu |
| Publisher | : CRC Press |
| Total Pages | : 234 |
| Release | : 2014-10-29 |
| Genre | : Computers |
| ISBN | : 1482226669 |
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book: Explains how reputation-based systems are used to determine trust in diverse online communities Describes how machine learning techniques are employed to build robust reputation systems Explores two distinctive approaches to determining credibility of resources—one where the human role is implicit, and one that leverages human input explicitly Shows how decision support can be facilitated by computational trust models Discusses collaborative filtering-based trust aware recommendation systems Defines a framework for translating a trust modeling problem into a learning problem Investigates the objectivity of human feedback, emphasizing the need to filter out outlying opinions Computational Trust Models and Machine Learning effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment.
| Author | : Robert F. Hurley |
| Publisher | : John Wiley & Sons |
| Total Pages | : 258 |
| Release | : 2011-10-25 |
| Genre | : Business & Economics |
| ISBN | : 1118072642 |
A proven model to create high-performing, high-trust organizations Globally, there has been a decline in trust over the past few decades, and only a third of Americans believe they can trust the government, big business, and large institutions. In The Decision to Trust, Robert Hurley explains how this new culture of cynicism and distrust creates many problems, and why it is almost impossible to manage an organization well if its people do not trust one another. High-performing, world-class companies are almost always high-trust environments. Without this elusive, important ingredient, companies cannot attract or retain top talent. In this book, Hurley reveals a new model to measure and repair trust with colleagues managers and employees. Outlines a proven Decision to Trust Model (DTM) of ten factors that establish whether or not one party will trust the other Filled with original examples from Daimler, PriceWaterhouse Coopers, Goldman Sachs, Microsoft, QuikTrip, General Electric, Procter and Gamble, AzKoNobel, Johnson and Johnson, Whole Foods, and Zappos Reveals how leaders in Asia, Europe, and North America have used the DTM to build high-trust organizations Covering trust building in teams, across functions, within organizations and across national cultures, The Decision to Trust shows how any organization can improve trust and the bottom line.
| Author | : |
| Publisher | : BRILL |
| Total Pages | : 284 |
| Release | : 2019-07-22 |
| Genre | : Political Science |
| ISBN | : 900439043X |
Trust in Contemporary Society, by well-known trust researchers, deals with conceptual, theoretical and social interaction analyses, historical data on societies, national surveys or cross-national comparative studies, and methodological issues related to trust. The authors are from a variety of disciplines: psychology, sociology, political science, organizational studies, history, and philosophy, and from Britain, the United States, the Czech Republic, the Netherlands, Australia, Germany, and Japan. They bring their vast knowledge from different historical and cultural backgrounds to illuminate contemporary issues of trust and distrust. The socio-cultural perspective of trust is important and increasingly acknowledged as central to trust research. Accordingly, future directions for comparative trust research are also discussed. Contributors include: Jack Barbalet, John Brehm, Geoffrey Hosking, Robert Marsh, Barbara A. Misztal, Guido Möllering, Bart Nooteboom, Ken J. Rotenberg, Jiří Šafr, Masamichi Sasaki, Meg Savel, Markéta Sedláčková, Jörg Sydow, Piotr Sztompka.
| Author | : Collectif |
| Publisher | : OECD |
| Total Pages | : 212 |
| Release | : 2017-11-27 |
| Genre | : Political Science |
| ISBN | : 9264278222 |
Trust, both interpersonal trust, and trust in institutions, is a key ingredient of growth, societal well-being and governance. As a first step to improving existing measures of trust, the OECD Guidelines on Measuring Trust provide international recommendations on collecting, publishing, and analysing trust data to encourage their use by National Statistical Offices (NSOs). The Guidelines also outline why measures of trust are relevant for monitoring and policy making, and why NSOs have a critical role in enhancing the usefulness of existing trust measures. Besides looking at the statistical quality of trust measures, best approaches for measuring trust in a reliable and consistent way and guidance for reporting, interpretation and analysis are provided. A number of prototype survey modules that national and international agencies can use in their household surveys are included. These Guidelines have been produced as part of the OECD Better Life Initiative, a pioneering project launched in 2011, with the objective to measure society’s progress across eleven domains of well-being. They complement a series of similar measurement guidelines on subjective well-being, micro statistics on household wealth, integrated analysis of the distribution on household income, consumption and wealth, as well as the quality of the working environment.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 837 |
| Release | : 2021-02-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1799886018 |
Mobile technologies have become a staple in society for their accessibility and diverse range of applications that are continually growing and advancing. Users are increasingly using these devices for activities beyond simple communication including gaming and e-commerce and to access confidential information including banking accounts and medical records. While mobile devices are being so widely used and accepted in daily life, and subsequently housing more and more personal data, it is evident that the security of these devices is paramount. As mobile applications now create easy access to personal information, they can incorporate location tracking services, and data collection can happen discreetly behind the scenes. Hence, there needs to be more security and privacy measures enacted to ensure that mobile technologies can be used safely. Advancements in trust and privacy, defensive strategies, and steps for securing the device are important foci as mobile technologies are highly popular and rapidly developing. The Research Anthology on Securing Mobile Technologies and Applications discusses the strategies, methods, and technologies being employed for security amongst mobile devices and applications. This comprehensive book explores the security support that needs to be required on mobile devices to avoid application damage, hacking, security breaches and attacks, or unauthorized accesses to personal data. The chapters cover the latest technologies that are being used such as cryptography, verification systems, security policies and contracts, and general network security procedures along with a look into cybercrime and forensics. This book is essential for software engineers, app developers, computer scientists, security and IT professionals, practitioners, stakeholders, researchers, academicians, and students interested in how mobile technologies and applications are implementing security protocols and tactics amongst devices.
| Author | : Karen Katherine Fullam |
| Publisher | : |
| Total Pages | : 428 |
| Release | : 2007 |
| Genre | : Intelligent agents (Computer software) |
| ISBN | : |
Trust among individuals is essential for transactions. A human or software agent in need of resources may reduce transaction risk by modeling the trustworthiness of potential partners. Experience- and reputation-based trust models have unique advantages and disadvantages depending on environment factors, including availability of experience opportunities, trustee trustworthiness dynamics, reputation accuracy, and reputation cost. This research identifies how trusters may utilize both experience- and reputation-based trust modeling to achieve more accurate decision-making tools than using either modeling technique alone. The research produces: 1) the Adaptive Trust Modeling technique for combining experience- vs. reputation-based models to produce the most accurate aggregated model possible, 2) a quantitative analysis of the tradeoffs between experience- and reputation-based models to determine conditions under which each type of model is favorable, and 3) an Adaptive Cost Selection algorithm for assessing the value of trust information given acquisition costs. Experiments show that Adaptive Trust Modeling yields an aggregate trust model more accurate than either experience- or reputation-based modeling alone, and Adaptive Cost Selection acquires the optimal combination of trust information, maximizing a truster's transaction payoff while minimizing trust information costs. These tools enable humans and software agents to make effective trust-based decisions given dynamic system conditions.
| Author | : Chang S. Nam |
| Publisher | : Academic Press |
| Total Pages | : 614 |
| Release | : 2020-11-17 |
| Genre | : Psychology |
| ISBN | : 0128194731 |
Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics. Presents a repository of the open questions and challenges in trust in HRI Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science Examines human information processing as a foundation for understanding HRI Details the methods and techniques used to test and quantify trust in HRI
