While I don’t find the idea particularly appealing personally, there are modified versions of Zelda games that randomize various aspects of the game (like what items are in which chests) and apparently a decent number of people do actually enjoy playing them. (Usually not on a first playthrough though!)
To be fair, I think you hit the nail on the head regarding what works and what doesn’t. I guess it’s possible for every situation to have some edge cases, though
I enjoy A Link to the Past Randomizer, but primarily because it adds replayability to a game I’m already so familiar with. ALttPR becomes a puzzle of which chests/dungeons have the highest probability of containing progression items. Calculating that optimized routing in realtime while racing against a clock is fun. Also figuring out the best way to deal with a boss that you already know well, but now you have an unexpected equipment loadout is fun to me.
However. If I were to play a new game I didn’t have any familiarity with and its item placement and/or map layout was procedurally generated, I don’t think I would enjoy a first playthrough. I don’t enjoy variety just for the sake of variety. The proc-gen would have to have some known parameters that allow me to strategize in how I approach it in order to not seem arbitrary. If I didn’t enjoy the first playthrough of such a game, I might not be motivated to learn enough to enjoy future runs.
That’s why I think I don’t love Spelunky or Slay the Spire despite loving games that play similarly like Cave Story and Magic the Gathering respectively. I think I could love these games if I could reasonably plan ahead, but I feel those games have too much variance and the outcomes feel arbitrary as a result. Though that could just be my lack of dedication to understanding the bounds of the generated content.
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: [email protected]
A gaming community free from the hype and oversaturation of current releases, catering to gamers who wait at least 12 months after release to play a game. Whether it’s price, waiting for bugs/issues to be patched, DLC to be released, don’t meet the system requirements, or just haven’t had the time to keep up with the latest releases.
While I don’t find the idea particularly appealing personally, there are modified versions of Zelda games that randomize various aspects of the game (like what items are in which chests) and apparently a decent number of people do actually enjoy playing them. (Usually not on a first playthrough though!)
Ah, I’ve fallen for the classic blunder :)
To be fair, I think you hit the nail on the head regarding what works and what doesn’t. I guess it’s possible for every situation to have some edge cases, though
I enjoy A Link to the Past Randomizer, but primarily because it adds replayability to a game I’m already so familiar with. ALttPR becomes a puzzle of which chests/dungeons have the highest probability of containing progression items. Calculating that optimized routing in realtime while racing against a clock is fun. Also figuring out the best way to deal with a boss that you already know well, but now you have an unexpected equipment loadout is fun to me.
However. If I were to play a new game I didn’t have any familiarity with and its item placement and/or map layout was procedurally generated, I don’t think I would enjoy a first playthrough. I don’t enjoy variety just for the sake of variety. The proc-gen would have to have some known parameters that allow me to strategize in how I approach it in order to not seem arbitrary. If I didn’t enjoy the first playthrough of such a game, I might not be motivated to learn enough to enjoy future runs.
That’s why I think I don’t love Spelunky or Slay the Spire despite loving games that play similarly like Cave Story and Magic the Gathering respectively. I think I could love these games if I could reasonably plan ahead, but I feel those games have too much variance and the outcomes feel arbitrary as a result. Though that could just be my lack of dedication to understanding the bounds of the generated content.