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Human-Centered AI at Work: Common Ground in Theories and Methods
Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?
HR-Analytics
Die Zukunft des Personalwesens ist datengestützt – so die These dieses Buches, das sich aus arbeits- und organisationspsychologischer Perspektive mit dem Einsatz von Datenanalyse und Künstlicher Intelligenz im Human Resource Management befasst. HR-Analytics (auch: People Analytics oder Workforce Analytics) umfasst hierbei alle Prozesse, bei denen Daten der Mitarbeitenden gesammelt, ausgewertet und dahingehend aufbereitet werden, dass die Analyseergebnisse als Entscheidungsgrundlage für strategische Unternehmensfragen genutzt werden können. In diesem Buch wird aufgezeigt, wie HR-Analytics einen Beitrag zum strategischen Unternehmenserfolg leisten kann und welche Rahmenbedingungen beacht...
EMDR
Eye Movement Desensitization and Reprocessing (EMDR) stellt eines der effektivsten Psychotherapieverfahren dar, um Traumafolgestörungen zu behandeln. Zahlreiche internationale Behandlungsleitlinien empfehlen EMDR zur Behandlung von Posttraumatischen Belastungsstörungen (PTBS). Der Band beschreibt praxisorientiert die acht Phasen der EMDR-Therapie und veranschaulicht das Vorgehen anhand von Fallbeispielen. Dabei wird auch auf die Unterschiede in der Behandlungsplanung von PTBS und Komplexer PTBS eingegangen. Die EMDR-Therapie greift Elemente der Verhaltenstherapie, der psychodynamischen und der kognitiven Therapie auf und ergänzt sie mit bilateraler Stimulation mittels Augenbewegungen. Das...
Forschendes Lernen an Universitäten
Der Band erörtert umfassend Theorien, Traditionen und Innovationen im Feld Forschenden Lernens (FL). Die Beispiele reichen von der Physik über die Psychiatrie bis hin zur Geschichtswissenschaft, Soziologie oder Psychologie – und vielen anderen Disziplinen sowie interdisziplinären Projekten – und geben Einblicke in originelle, exzellente Lehr-Lernformate sowie konkrete Veranstaltungen, die über wettbewerbliche Ausschreibungen gefördert und implementiert werden. Sie dokumentieren die faszinierende Vielfalt eines höchst dynamischen Feldes.
Advances in Flow Research
This second edition provides a review of the current flow research. The first, thoroughly revised and extended, part of the book, addresses basic concepts, correlates, conditions and consequences of flow experience. This includes the developments of the flow model, methods to measure flow, its physiological correlates, personality factors involved in the emergence of flow, social flow, the relationship of flow with performance and wellbeing, but also possible negative consequences of flow. The second, completely new, part of the book addresses flow in diverse contexts, in particular, work, development, sports, music and arts, and human computer interaction. As such, the book provides a broad overview on the current state of flow research – from the basics to specific contexts of application. It presents what has been learned since the beginning of flow research, what is still open, and how the mission to understand and foster flow should continue. The book addresses researchers and students who are interested in flow, as well as practitioners who seek for sound research on flow in their field of expertise.
Effortless Attention
The phenomena of effortless attention and action and the challenges they pose to current cognitive models of attention and action.
Leading Teams
Hackman (social and organizational psychology, Harvard U.) identifies the factors of being a team leader that will enable a team to work together efficiently to achieve organizational goals. He suggests that five conditions are necessary: having a real team, a compelling direction, an enabling team structure, a supportive organizational context, and expert team coaching. He integrates insights from interviews with team leaders with concepts from the social sciences. Annotation copyrighted by Book News, Inc., Portland, OR
Teams that Work
"Why do some teams thrive, while others struggle? If you are a team leader, team member, senior leader, or consultant you need to know what really drives team effectiveness. Are you confident you know what truly makes a difference?Many books and consultants offer advice about teamwork based on opinion or conjecture. Some of that advice is useful, but much of it is overly simplistic or even misleading. Fortunately, a growing body of research is now available with which to separate the myths from the facts.For example, is it possible to "team away" talent deficiencies? Will more frequent communications improve performance? Is a team likely to perform better when members know each other? What do great team members know, do and think? When and how can conflict be constructive? In The Science of Teamwork, Scott Tannenbaum and Eduardo Salas answer these and other questions about team effectiveness. They explore each of the real drivers of teamwork as described in their Seven C's model. Grounded in research and packed with examples from C-Suite, medical, financial, manufacturing, retail, technology, sports, military, and even aerospace teams, you'll learn:"
Managing Technology and Middle- and Low-skilled Employees
Managing Technology and Middle- and Low-Skilled Employees explores the rapidly changing use of digital and systems innovations in the management of specific sectors of the workforce in the modern workplace across different industrial contexts.
Big Data at Work
The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.
