Healthy Lies: The Effects of Misrepresenting Player Health Data on Experience, Behavior, and ...

Healthy Lies: The Effects of Misrepresenting Player Health Data on Experience, Behavior, and Performance
Jason Wuertz, Max V. Birk, Scott Bateman

CHI '19: ACM CHI Conference on Human Factors in Computing Systems
Session: Serious Games

Abstract
Game designers use a variety of techniques that mislead players with the goal of inducing play experience. For example, designers may manipulate data displays of player health—showing they have less health than they actually do—to induce tension. While commonly used, players make decisions based on in-game data displays, raising the question of how misrepresentations impact behavior and performance, and whether this might have unintended consequences. To provide a better understanding of how data misrepresentation impacts play, we compare two versions of a game: one that displays health accurately and one that misrepresents health. Our results suggest that even subtle manipulations to data displays can have a measurable effect on behavior and performance, and these changes can help explain differences in experience. We show that data misrepresentations need to be designed carefully to avoid unintended effects. Our work provides new directions for research into the design of misrepresentation in games.

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SIGCHI,Video Previews,CHI 2019,Game design,player experience,health bars,data misrepresentation,deception,