Hearthpwn
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Esports For Dummies
Discover the path to the big leagues It's time to prove all those people who said “video games are a waste of time” wrong. Esports has rewarded top gamers with prize money, glory, and even college scholarships. Want to get in on the action? This book puts you on the path to get your share of the growing world of esports. It helps you figure out the gear you need to be competitive, the games that drive esports, how to break into competitive play, and how to use online platforms to get attention. Written by the esports program director at the first Division I university to field an esports team, this book defines and demystifies the complex world of competitive video gaming. Get the gear for your first esports battles Gain recognition for your skills online or in tournaments Discover the path to earning scholarships in esports Build your online identity Get the insider tips you need to make your name in the esports universe.
Achievement Relocked
How game designers can use the psychological phenomenon of loss aversion to shape player experience. Getting something makes you feel good, and losing something makes you feel bad. But losing something makes you feel worse than getting the same thing makes you feel good. So finding $10 is a thrill; losing $10 is a tragedy. On an “intensity of feeling” scale, loss is more intense than gain. This is the core psychological concept of loss aversion, and in this book game creator Geoffrey Engelstein explains, with examples from both tabletop and video games, how it can be a tool in game design. Loss aversion is a profound aspect of human psychology, and directly relevant to game design; it is a tool the game designer can use to elicit particular emotions in players. Engelstein connects the psychology of loss aversion to a range of phenomena related to games, exploring, for example, the endowment effect—why, when an object is ours, it gains value over an equivalent object that is not ours—as seen in the Weighted Companion Cube in the game Portal; the framing of gains and losses to manipulate player emotions; Deal or No Deal’s use of the utility theory; and regret and competence as motivations, seen in the context of legacy games. Finally, Engelstein examines the approach to loss aversion in three games by Uwe Rosenberg, charting the designer’s increasing mastery.
Social-Behavioral Modeling for Complex Systems
This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems