Difference between revisions of "Automated Responses"
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| − | + | ''Events triggered by game state configurations designed to either inform players or make responses for them.'' | |
| − | ' | + | |
| − | + | Many game designs have either wish to ensure players to be aware of certain facts about some specific game states as they occur or want to ensure specific responses by the game elements that players control. Both of these things can be created by [[Automated Responses]], triggered events that the game system executes based on detecting certain game states. | |
=== Examples === | === Examples === | ||
| + | Encountering boss monsters in some games in the [[Super Mario series]] trigger cut scenes where the monsters are clearly presented so players are made aware of their significance. | ||
| − | + | A weak examples of [[Automated Responses]] is the "look" action in [[:Category:Adventure Games|Adventure Games]] such as [[Maniac Mansion]] and the [[Zork series]], which while they do inform players about game elements are in fact triggered by specific actions by players rather than game state configurations. Stronger examples can be found in Multiuser Dungeons such as [[DragonMud]] and [[Kingdoms]] where players can create [[Automated Responses]] by writing code which interprets output from the game and produces input to the game for the players. [[Ultima Online]] and [[World of Warcraft]] provided similar functionality. | |
| − | + | ||
== Using the pattern == | == Using the pattern == | ||
| + | Designing [[Automated Responses]] consist of deciding what responses show exist (and why) and when they should be given. The types of responses can be divided into two main categories: the ones that affect the game state and the ones that only inform players about the game state. [[Cutscenes]] and [[Voice-overs]] are ways of creating [[Automated Responses]] without affecting game states while [[Algorithmic Agents]] and [[Mules]] can perform gameplay actions as [[Automated Responses]]. | ||
| − | + | When [[Automated Responses]] should be given are typically bound tightly to the specific responses that should be possible, e.g. providing specific information about a game element, or related to it, when it is encountered. Quite naturally, [[Line of Sight]] can be used to make the [[Automated Responses]] only be made about things the player is actually looking at. | |
| + | |||
| + | Typical examples of cases when [[Automated Responses]] may be deemed necessary to inform players of future gameplay includes the introduction of [[Boss Monsters]] (and perhaps hints of their weaknesses) or forcing attention to [[Clues]] or providing addition information to that which they diegetically provide. However, the introduction of whole [[Levels]] may also be provided as [[Automated Responses]] when they are entered to prepare players of the upcoming gameplay (and perhaps foreshadow gameplay events). | ||
=== Interface Aspects === | === Interface Aspects === | ||
| + | As [[Automated Responses]] provide information or feedback to players it is an [[:Category:Interface Patterns|Interface | ||
| + | Pattern]]. | ||
=== Narration Aspects === | === Narration Aspects === | ||
| + | Since [[Automated Responses]] can provide narration (e.g. when used with [[Voice-overs]]), the pattern can be a [[:Category:Narration Patterns|Narration Pattern]]. | ||
== Consequences == | == Consequences == | ||
| + | [[Automated Responses]] are ways of modulating [[Avatars]], [[Characters]], or (at least) [[Chat Channels]]. By doing so they can created [[Enforced Agent Behavior]] or provide [[Player Augmentations]]. When they are combined with [[Player/Character Skill Composites]], the resulting effect can become [[Player/System Action Composites]]. However, the use of [[Automated Responses]] can create the loss of [[Player Agency]]. | ||
| + | |||
| + | [[Automated Responses]] can help players have [[Smooth Learning Curves]]. When [[Automated Responses]] brings players' attention to certain features about the current game state, they function as [[Point of Interest Indicators]]. | ||
== Relations == | == Relations == | ||
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=== Can Instantiate === | === Can Instantiate === | ||
| − | + | [[Enforced Agent Behavior]], | |
| + | [[Player Augmentations]], | ||
| + | [[Point of Interest Indicators]], | ||
| + | [[Smooth Learning Curves]] | ||
| − | ==== with | + | ==== with [[Player/Character Skill Composites]] ==== |
| + | [[Player/System Action Composites]] | ||
=== Can Modulate === | === Can Modulate === | ||
| − | + | [[Avatars]], | |
| + | [[Boss Monsters]], | ||
| + | [[Characters]], | ||
| + | [[Chat Channels]], | ||
| + | [[Clues]], | ||
| + | [[Levels]] | ||
=== Can Be Instantiated By === | === Can Be Instantiated By === | ||
| − | - | + | [[Algorithmic Agents]], |
| + | [[Cutscenes]], | ||
| + | [[Mules]], | ||
| + | [[Voice-overs]] | ||
=== Can Be Modulated By === | === Can Be Modulated By === | ||
| − | + | [[Line of Sight]] | |
=== Possible Closure Effects === | === Possible Closure Effects === | ||
| Line 53: | Line 63: | ||
=== Potentially Conflicting With === | === Potentially Conflicting With === | ||
| − | + | [[Player Agency]] | |
== History == | == History == | ||
Latest revision as of 09:31, 15 July 2016
Events triggered by game state configurations designed to either inform players or make responses for them.
Many game designs have either wish to ensure players to be aware of certain facts about some specific game states as they occur or want to ensure specific responses by the game elements that players control. Both of these things can be created by Automated Responses, triggered events that the game system executes based on detecting certain game states.
Contents
Examples
Encountering boss monsters in some games in the Super Mario series trigger cut scenes where the monsters are clearly presented so players are made aware of their significance.
A weak examples of Automated Responses is the "look" action in Adventure Games such as Maniac Mansion and the Zork series, which while they do inform players about game elements are in fact triggered by specific actions by players rather than game state configurations. Stronger examples can be found in Multiuser Dungeons such as DragonMud and Kingdoms where players can create Automated Responses by writing code which interprets output from the game and produces input to the game for the players. Ultima Online and World of Warcraft provided similar functionality.
Using the pattern
Designing Automated Responses consist of deciding what responses show exist (and why) and when they should be given. The types of responses can be divided into two main categories: the ones that affect the game state and the ones that only inform players about the game state. Cutscenes and Voice-overs are ways of creating Automated Responses without affecting game states while Algorithmic Agents and Mules can perform gameplay actions as Automated Responses.
When Automated Responses should be given are typically bound tightly to the specific responses that should be possible, e.g. providing specific information about a game element, or related to it, when it is encountered. Quite naturally, Line of Sight can be used to make the Automated Responses only be made about things the player is actually looking at.
Typical examples of cases when Automated Responses may be deemed necessary to inform players of future gameplay includes the introduction of Boss Monsters (and perhaps hints of their weaknesses) or forcing attention to Clues or providing addition information to that which they diegetically provide. However, the introduction of whole Levels may also be provided as Automated Responses when they are entered to prepare players of the upcoming gameplay (and perhaps foreshadow gameplay events).
Interface Aspects
As Automated Responses provide information or feedback to players it is an Interface Pattern.
Narration Aspects
Since Automated Responses can provide narration (e.g. when used with Voice-overs), the pattern can be a Narration Pattern.
Consequences
Automated Responses are ways of modulating Avatars, Characters, or (at least) Chat Channels. By doing so they can created Enforced Agent Behavior or provide Player Augmentations. When they are combined with Player/Character Skill Composites, the resulting effect can become Player/System Action Composites. However, the use of Automated Responses can create the loss of Player Agency.
Automated Responses can help players have Smooth Learning Curves. When Automated Responses brings players' attention to certain features about the current game state, they function as Point of Interest Indicators.
Relations
Can Instantiate
Enforced Agent Behavior, Player Augmentations, Point of Interest Indicators, Smooth Learning Curves
with Player/Character Skill Composites
Player/System Action Composites
Can Modulate
Avatars, Boss Monsters, Characters, Chat Channels, Clues, Levels
Can Be Instantiated By
Algorithmic Agents, Cutscenes, Mules, Voice-overs
Can Be Modulated By
Possible Closure Effects
-
Potentially Conflicting With
History
New pattern created in this wiki.
References
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Acknowledgements
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