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THE VIDEO SHELF · game design psychology

Sid Meier's Psychology of Game Design

Civilization creator Sid Meier's GDC 2010 talk on applying psychology to game design. He discusses player perception, randomness, and win states, and why designers must account for how players experience events.

Why HN readers recommended it

HN people cite it when discussing perceived randomness, luck and player experience in games, and say more designers should heed it.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
GDC Festival of Gaming
Topic
game design psychology
Format
talk
Level
general
HN recommenders in dataset
4
HN mentions in dataset
4
Recommendation years in dataset
2016–2019

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Many games don't have win states or shouldn't have win states. More people need to listen to what Sid Meier has said on this. That HN article was written by someone who did not know what they were talking about. [VIDEO]

    mlindner on Hacker News · 2018-12
    In Sandspiel – A falling sand game built in Rust and WebGL
  • Agreed; the point of the game is to make you feel like a God. Sid Meier gave a talk at the GDC: [VIDEO] In it he explained how Civilization tested random negative events that could shape your world. He mentioned how this had a negative …

    timo614 on Hacker News · 2016-10
    In What Sid Meier’s Video Game Empire Got Right and Wrong About ‘Civilization’
  • > The anecdote about Sid Meier hard-coding a guaranteed "win on the third attempt" for a battle with a 1/3 victory probability was very interesting. You might enjoy these videos as well: [LINK] [VIDEO]

    codetrotter on Hacker News · 2019-03
    In How Designers Engineer Luck Into Video Games (2017)

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.