Gamification: You're Doing it Wrong
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Beyond badges and progress bars, award winning game developer Michael Wilson lectures on the basics of game design and structure while applying those principles to modern digital design. This class caters to both designers and developers currently trying to incorporate gaming features into their company’s products. This class is theory and methodology, not practice, but we may reference design and programming principles, so rudimentary experience in design or development will be useful.
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Gamification: You're Doing it Wrong
- 1. GAMIFICATION YOU’RE DOING IT WRONG!
- 2. PRESENTED BY MICHAEL WILSON ............ @STOPWILSON | WWW.STOPWILSON.COM
- 3. OVERVIEW Beyond badges and progress bars, award winning game developer Michael Wilson lectures on the basics of game design and structure while applying those principles to modern digital design. This class caters to both designers and developers currently trying to incorporate gaming features into their company’s products. This class is theory and methodology, not practice, but we may reference design and programming principles, so rudimentary experience in design or development will be useful.
- 4. WHO THE ______ ARE YOU? I am a seasoned technologist and entrepreneur with experience in every aspect of the digital entertainment, software and advertising industries. With over 15 years of software development leadership in retail software and enterprise web development, my teams have deployed code for many fortune 500 companies including Procter & Gamble, IBM and Electronic Arts. Projects under my direct technical lead have won many awards including a Webby, selection as an Independent Games Festival Finalist and the coveted Cannes Gold Cyber Lion.
- 5. GAMES?
- 7. GAMIFICATION THE USE OF GAME DESIGN ELEMENTS IN NON-GAME CONTEXTS.
- 8. FITNESS
- 9. EDUCATION
- 10. LIFE
- 11. MAGIC FORMULA? SOMETHING POPULAR BLISSFUL NO ONE + GAME = PRODUCTIVITY WANTS TO DO MECHANIC
- 12. GAME MECHANICS • Achievements • Infinite Gameplay • Behavioral Momentum • Levels • Bonuses • Loss Aversion • Cascading Information • Lottery • Combos • Ownership • Community • Points Collaboration • Progression • Countdown • Quests • Discovery • Reward Schedules • Epic Meaning • Status via http://gamification.org/wiki/Game_Mechanics
- 13. GAMES ARE ADDICTIVE Photo used under Creative Commons from Jeff Kubina
- 14. SO WHAT IS THE PROBLEM WITH GAMIFICATION? ............
- 15. IT’S A SET OF FEATURES Progress Bars Achievements Badges Scoreboards GAMIFICATION Socialization Competition Challenges etc.
- 16. THAT DON’T EQUATE TO FUN Progress Bars Achievements Badges Scoreboards = FUN Socialization Competition Challenges etc.
- 17. SO HOW DO WE MANUFACTURE FUN?
- 18. DESIGN IT TO BE FUN!
- 19. WARNING! UTILITY > FUN
- 21. WHAT IS A GAME? Lacks Has Explicit Conflict Interaction Interaction Rules Experience Toy Puzzle Game Inherent Objectives Outcome Rules
- 22. TOY Photo used under Creative Commons from stevendepolo
- 23. A TOY IS DESIGNED FOR PLAY
- 25. INHERENT “RULES” OF A TOY • Interaction • Physical/Environmental Rules • Expectations • Feedback (Light, Sound, etc.) • Discovery • Manipulation • etc.
- 26. BEND THE RULES OF A TOY?
- 27. VISUAL FEEDBACK
- 28. SURPRISE, DELIGHT, RANDOMNESS, POSSIBILITES (BUT NO GOAL)
- 29. PUZZLE Photo used under Creative Commons from fdecomite
- 30. A PUZZLE IS FUN AND HAS A RIGHT ANSWER -- SCOTT KIM, PUZZLE MASTER (THE NEXT TETRIS)
- 31. IMPLICIT RULES OF A PUZZLE • Puzzles are a form of play. • Puzzles have a goal or objective. • Puzzles are “tricky.” • Puzzles imply needed ingenuity. PUZZLE
- 32. EXPLICIT RULES OF A PUZZLE A PUZZLE HAS RULES
- 34. GAME OR PUZZLE?
- 35. A PUZZLE IS FUN AND HAS (A LEAST ONE) T RIGHT ANSWER
- 36. FOLD.IT
- 37. SURPRISE, DELIGHT, RANDOMNESS, POSSIBILITES (NOW WITH A PURPOSE)
- 38. GAME Photo used under Creative Commons from Muffet
- 39. A GAME IS A PLAY ACTIVITY WITH RULES THAT INVOLVES CONFLICT -- INTERNATIONAL GAME DEVELOPERS ASSOCIATION
- 40. RULES OF A GAME • Games are an activity. • Games have rules. • Games have conflict. • Games have goals. • Games involve decision making. • Games have an uncertain outcome. GAME Portions of text used under Creative Commons from Ian Schreiber
- 41. RULES OF A GAME, MAYBE? • Games have Players? • Games have Winners and Losers? • Games are purposely inefficient? • Games have outcomes? • Games involve systems? • Games are...? GAME
- 42. A GAMES ARE STORY MACHINES.
- 43. STORY Photo used under Creative Commons from DeusXFlorida
- 44. STORY Photo used under Creative Commons from StuSeeger
- 45. THE PIECES OF OUR STORY MACHINE ARE CALLED MECHANICS
- 46. GAME MECHANICS ARE CONSTRUCTS OF RULES INTENDED TO PRODUCE AN ENJOYABLE GAME OR GAMEPLAY
- 47. GAME MECHANICS • Achievements • Infinite Gameplay • Behavioral Momentum • Levels • Bonuses • Loss Aversion • Cascading Information • Lottery • Combos • Ownership • Community • Points Collaboration • Progression • Countdown • Quests • Discovery • Reward Schedules • Epic Meaning • Status via http://gamification.org/wiki/Game_Mechanics
- 49. DESIGNING FUN IS ABOUT DESIGNING BALANCE
- 50. BALANCE Photo used under Creative Commons from cho45
- 51. WHAT TO BALANCE? Risk vs. Reward Luck vs. Skill Random vs. Predictive Completion vs. Endlessness …This vs. That…
- 52. THESE ARE THE BIG THREE, BUT THERE ARE MANY OTHERS
- 53. RISK VS. REWARD
- 54. RISK
- 55. RISK VS. REWARD • Think of RISK and REWARD as a mechanic to drive MEANING. RISK = EFFORT EFFORT + REWARD = MEANING
- 56. CHALLENGE & DIFFICULTY According to human nature, it is inevitable that a person will learn and gain more skill presented a challenge and a chance to grow— therefore a game must increase in difficulty as the player progresses in order to continue to be challenging
- 57. MORE CHALLENGE = MORE EFFORT = MORE RISK
- 58. SO, GAMIFING A TASK WITH OUT RISK* WILL INHERENTLY MAKE IT UN-FUN
- 59. *FIND A VERSION OF RISK • Risk of Loss – Tangential loss – Compounding loss – Ultimatum loss • Risk of Effort • Other kinds of Risk?
- 61. REWARDS ARE EASY. TOO EASY?
- 62. THINK ABOUT YOUR REWARDS • Too Plentiful? (Points) • Not Valuable? (Coupons, Badges) • Not Legal? (Cash) • Meaningless? REWARD
- 63. REWARDS NEED MEANING FOR THE AUDIENCE
- 64. MEANING. LIKE IT OR NOT.
- 65. LUCK VS. SKILL
- 66. LUCK SKILL Photos used under Creative Commons from dupo-x-y & Muffet
- 67. ALL GAMES HAVE SOME LUCK
- 68. ALL GAMES HAVE SOME SKILL
- 69. SOURCES OF LUCK • Random Number Generators (Dice, Coins, etc.) • Simultaneous Choices (Rock, Paper, Scissors) • Hidden Information (Cards, Stock Market) • Environment (Weather, imperfections, etc.)
- 72. SOURCES OF SKILL • Physical (Exercise, Practice, etc.) • Intelligence (IQ, Problem Solving, etc.) • Familiarity (Experience, Practice, etc.) • Endurance (Willpower, etc,)
- 73. SKILL TAKES EFFORT
- 75. MANIPULATING LUCK
- 76. MANIPULATE LUCK VIA SAP* *SKILL ADVANTAGE PERCENTAGE
- 77. NBA JAM’S SAP = 5%* *JUSTAGUESS
- 78. WHEN SKILL GETS AN ADVANTAGE, DIAL UP THE LUCK
- 79. SO, GAMIFING A TASK WITH OUT LUCK WILL INHERENTLY MAKE IT UNFAIR
- 80. RANDOM VS. PREDICTIVE
- 81. RANDOM PREDICTIVE Photos used under Creative Commons from dupo-x-y & Muffet
- 82. RANDOMNESS ISN’T LUCK
- 83. PREDICTIONS ARE ODDS
- 84. CHESS IS VERY RANDOM • The Shannon number, named after Claude Shannon, is an estimated lower bound on the game-tree complexity of chess • Shanon’s number is estimated at 10,000,000,000,000,000,000,000,000,000,00 0,000,000,000,000,000,000 (1046.7) games • More than the estimated number of atoms in the Universe via http://en.wikipedia.org/wiki/Shannon_number
- 85. Photos used under Creative Commons from Muffet
- 86. CHESS IS PREDICTIVE IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK IN BOOK NOVELTY
- 87. KNOWING THE POSSIBLE OUTCOME MAKES VARIATIONS MORE EXCITING
- 88. WHO WINS? i
- 90. PREDICTIVE OUTCOMES CREATE RIVALRIES
- 91. WHO IS THE UNDERDOG? Photo used under Creative Commons from Mike_fleming
- 92. SO, GAMIFING A TASK WITH OUT PREDICTION WILL INHERENTLY MAKE IT BORING
- 97. Risk vs. Reward Luck vs. Skill Random vs. Predictive