Born to Be Good
WW Norton & Co (Verlag)
978-0-393-33713-6 (ISBN)
In this startling study of human emotion, Dacher Keltner investigates an unanswered question of human evolution: If humans are hardwired to lead lives that are “nasty, brutish, and short,” why have we evolved with positive emotions like gratitude, amusement, awe, and compassion that promote ethical action and cooperative societies? Illustrated with more than fifty photographs of human emotions, Born to Be Good takes us on a journey through scientific discovery, personal narrative, and Eastern philosophy. Positive emotions, Keltner finds, lie at the core of human nature and shape our everyday behavior—and they just may be the key to understanding how we can live our lives better.
Dacher Keltner is the Thomas and Ruth Ann Hornaday professor of psychology and the director of the Greater Good Science Center at the University of California, Berkeley. He has taught social psychology for the past 18 years and is the recipient of the Distinguished Teaching Award for Letters and Sciences. His research focuses on the prosocial emotions (such as love, sympathy, and gratitude), morality, and power. Other awards include the Western Psychological Association’s award for outstanding contribution to research, the Positive Psychology Prize for excellence in research, and the Ed and Carol Diener mid-career award for research excellence in social psychology. He is a fellow of the American Psychological Association, the American Psychological Society, and the Society for Personality and Social Psychology. In 2008, the Utne Reader listed Dacher as one of the 50 visionaries changing the world.
| Erscheint lt. Verlag | 9.2.2010 |
|---|---|
| Zusatzinfo | 60 photos |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 140 x 211 mm |
| Gewicht | 300 g |
| Themenwelt | Geisteswissenschaften ► Philosophie ► Ethik |
| ISBN-10 | 0-393-33713-8 / 0393337138 |
| ISBN-13 | 978-0-393-33713-6 / 9780393337136 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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