Ambiguous Responses

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The ability of agents to gives responses that can be interpreted in two or more ways.

Conversations in games between agents in games consist of utterances and responses to these utterances. When the responses can be interpreted to mean two or more different things, the game has Ambiguous Responses.

Note: Gamers have discusses Ambiguous Responses is relation to dialogues in games such as the Mass Effect and Dragon Age series but this has been related to that the options players are provided with are ambiguous, i.e. they may seem to indicate that the player character will act in a certain way but when the option is chosen he or she performs in another way.

Examples

As a currently, no examples are listen here.

Using the pattern

Creating Ambiguous Responses, or the possibility for it, in a game depend mainly on how to modify the Information Passing that occurs in it.

Naturally, free-text communication between humans, e.g. through Chat Channels, makes the presence of Ambiguous Responses possible but does not guarantee that it occurs.

Interface Aspects

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Narrative Aspects

Ambiguous Responses is one of the prime vehicles for setting up the misunderstandings in comedies of errors[1]. As such, the pattern can be used to create certain blocks in Narration Structures.

Consequences

Ambiguous Responses basically adds Uncertainty of Information to Information Passing. In doing so it can create Tension as players can be unsure of the actual meaning of a response.

Relations

Can Instantiate

Narration Structures, Tension, Uncertainty of Information

Can Modulate

Algorithmic Agents, Information Passing

Can Be Instantiated By

Chat Channels

Can Be Modulated By

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Possible Closure Effects

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Potentially Conflicting With

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History

A rewrite of a pattern that was part of the original collection in the paper Gameplay Design Patterns for Believable Non-Player Characters[2].

References

  1. Wikipedia entry for the concept of Comedy of errors.
  2. Lankoski, P. & Björk, S. (2007) Gameplay Design Patterns for Believable Non-Player Characters. Proceedings of DiGRA 2007.

Acknowledgments