Contextually accurate dialogue modeling in an online environment

• US 7,329,188 B2
• Filed: 10/29/2003
• Issued: 02/12/2008
• Est. Priority Date: 02/23/2000
• Status: Expired due to Fees

• Current Assignee: Geoffrey Parker Brown
• Original Assignee: Geoffrey Parker Brown
• Inventors: Brown, Geoffrey Parker
• Primary Examiner(s): Laneau; Ronald
• Assistant Examiner(s): HARPER, TRAMAR YONG
• Application Number:
  US10/696,083
• Publication Number:
  US 20040147324A1
• Time in Patent Office: 1,567 Days
• Field of Search: 463/40, 463/42, 463/31
• US Class Current: 463/42
• CPC Class Codes: A63F 13/352 involving special game server arrangements, e.g. regional servers connected to a national server or a plurality of servers managing partitions of the game world
• CPC Class Codes: A63F 13/47 involving branching, e.g. choosing one of several possible scenarios at a given point in time
• CPC Class Codes: A63F 13/54 involving acoustic signals, e.g. for simulating revolutions per minute [RPM] dependent engine sounds in a driving game or reverberation against a virtual wall
• CPC Class Codes: A63F 13/63 by the player, e.g. authoring using a level editor
• CPC Class Codes: A63F 13/67 adaptively or by learning from player actions, e.g. skill level adjustment or by storing successful combat sequences for re-use
• CPC Class Codes: A63F 13/79 involving player-related data, e.g. identities, accounts, preferences or play histories
• CPC Class Codes: A63F 13/822 Strategy games; Role-playing games A63F13/825, A63F13/828 take precedence
• CPC Class Codes: A63F 13/92 Video game devices specially adapted to be hand-held while playing
• CPC Class Codes: A63F 2300/204 the platform being a handheld device
• CPC Class Codes: A63F 2300/208 for storing personal settings or data of the player
• CPC Class Codes: A63F 2300/513 server hierarchy, e.g. local, regional, national or dedicated for different tasks, e.g. authenticating, billing
• CPC Class Codes: A63F 2300/5546 using player registration data, e.g. identification, account, preferences, game history
• CPC Class Codes: A63F 2300/6018 where the game content is authored by the player, e.g. level editor or by game device at runtime, e.g. level is created from music data on CD
• CPC Class Codes: A63F 2300/6027 using adaptive systems learning from user actions, e.g. for skill level adjustment
• CPC Class Codes: A63F 2300/6081 generating an output signal, e.g. under timing constraints, for spatialization
• CPC Class Codes: A63F 2300/632 by branching, e.g. choosing one of several possible story developments at a given point in time
• CPC Class Codes: A63F 2300/807 Role playing or strategy games

Abstract

An interactive gaming system is described in which characters are generated and controlled to model human behavior in an accurate manner. The behaviors of the characters are contextually accurate because the behaviors adapt to accurately reflect the attitudes of the characters toward the user. A database stores relationship data representing the attitudes of the characters. A gaming engine executing on a computer is coupled to the database and receives input representing the user'"'"'s interaction with the character and updates the relationship data. The gaming engine generates media for display to the user based on the relationship data. The media may include text-based dialogue, digital photographs of the character, video, audio and the like. The database stores data defining one or more behavior patterns by which the gaming engine dynamically generates the gaming environment and controls the character so as to model human nature.

Claims

1. A method for modeling a two-way conversation between a computer-based character and a user, the method comprising:

storing situation data that defines a set of situation tags and associated situation text, wherein the situation tags represent situations that describe contexts in which the user interacts with one or more of a plurality of characters;

wherein a system administrator manages a situation tag type for assembling situation-specific content, and,

wherein said system administrator creates said situation tags for assembling said situation-specific content, and,

wherein said situation tags can be incorporated with contextual accuracy into multiple behavior patterns, and

whereby said incorporation of said situation tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

storing character data that defines a set of character tags and associated character text for each of the plurality of computer-based characters;

wherein said system administrator defines a character tag type for assembling character-specific content, and,

wherein said system administrator creates said character tags for assembling said character-specific content, and,

wherein said character tags can be incorporated with contextual accuracy into multiple behavior patterns, and

whereby said incorporation of said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

storing a plurality of behavior patterns,

wherein each of the behavior patterns defines a conversation with the user,

wherein each of the behavior patterns defines the conversation as a series of interactions with the user in accordance with a consistent attitude, and

wherein each of the behavior patterns can be used with the different characters and the different situations, and

wherein each of the behavior patterns is represented as a set of linked frames that specify respective text-based dialogue to be presented to user; and

wherein said system administrator creates said behavior patterns using the text associated with said situation tags and said character tags, and

wherein said situation tags and said character tags can be incorporated with contextual accuracy into the behavior patterns, and

whereby said insertion of said situation tags and said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

selecting one of the situations as a currently selected situation, one of the characters as a currently selected character, and one of the behavior patterns as a currently selected behavior pattern;

presenting text-based dialogue from the currently selected character to the user within the online environment by merging;

(1) the text-based dialogue specified by the frames of the currently selected behavior pattern, (2) the situation text of the currently selected situation, and (3) the character text of the currently selected character.

2. The method of claim 1, wherein modeling the two-way conversation further comprises:

a system administrator managing a situation tag type for assembling situation-specific content (FIG. 11), and,

said system administrator creating said situation tags for assembling said situation-specific content (FIG. 15), and

said situation tags being able to be incorporated with contextual accuracy into multiple behavior patterns (FIG. 17),

whereby said incorporation of said situation tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations, and

said system administrator defining a character tag type (FIG. 18) for assembling character-specific content, and,

said system administrator creating said character tags for assembling said character-specific content (FIG. 19), and

said character tags being able to be incorporated with contextual accuracy into multiple behavior patterns (FIG. 17),

whereby said incorporation of said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations, and

said system administrator creating said behavior patterns using a minimal percentage of static text while incorporating a substantial percentage of the text associated with said situation tags and said character tags (FIG. 16), and said situation tags and said character tags being able to be incorporated with contextual accuracy into the behavior patterns (FIG. 17),

whereby said insertion of said situation tags and said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations.

3. The method of claim 1, wherein modeling the two-way conversation further comprises:

the computer communicating the text-based dialogue via other media for presentment to the user.

4. A computer-readable medium comprising instruction to cause a computer to model a two-way conversation between a computer-based character and a user by:

storing situation data that defines a set of situation tags and associated situation text, wherein the situation tags represent situations that describe contexts in which the user interacts with one or more of a plurality of the characters,

wherein a system administrator manages a situation tag type for assembling situation-specific content, and,

wherein said system administrator creates said situation tags for assembling said situation-specific content, and,

wherein said situation tags can be incorporated with contextual accuracy into multiple behavior patterns, and

whereby said incorporation of said situation tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

storing character data that defines a set of character tags and associated character text for each of the plurality of computer-based characters,

wherein said system administrator defines a character tag type for assembling character-specific content, and,

wherein said system administrator creates said character tags for assembling said character-specific content, and,

wherein said character tags can be incorporated with contextual accuracy into multiple behavior patterns, and

whereby said incorporation of said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

storing a plurality of behavior patterns,

wherein each of the behavior patterns defines a conversation with the user, wherein each of the behavior patterns defines the conversation as a series of interactions with the user in accordance with a consistent attitude, and

wherein each of the behavior patterns can be used with the different characters and the different situations, and

wherein each of the behavior patterns is represented as a set of linked frames that specify respective text-based dialogue to be presented to the user; and

wherein said system administrator creates said behavior patterns using the text associated with said situation tags and said character tags, and

wherein said situation tags and said character tags can be incorporated with contextual accuracy into the behavior patterns, and

whereby said insertion of said situation tags and said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

selecting one of the situations as a currently selected situation, one of the characters as a currently selected character, and one of the behavior patterns as a currently selected behavior pattern;

presenting text-based dialogue from the currently selected character to the user within the online environment by merging;

(1) the text-based dialogue specified by the frames of the currently selected behavior pattern, (2) the situation text of the currently selected situation, and (3) the character text of the currently selected character.

5. The computer-readable medium of claim 4 comprising instruction to cause a computer to model a two-way conversation between a computer-based character and a user wherein:

a system administrator manages a situation tag type for assembling situation-specific content (FIG. 11), and,

said system administrator creates said situation tags for assembling said situation-specific content (FIG. 15), and

said situation tags can be incorporated with contextual accuracy into multiple behavior patterns (FIG. 17),

whereby said incorporation of said situation tags into said behavior patterns substantially the production costs of generating said contextually-accurate two-way conversations, and

said system administrator defines a character tag type (FIG. 18) for assembling character-specific content, and,

said system administrator creates said character tags for assembling said character-specific content (FIG. 19), and

said character tags can be incorporated with contextual accuracy into multiple behavior patterns (FIG. 17),

whereby said incorporation of said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations, and

said system administrator creates said behavior patterns using a minimal percentage of static text while incorporating a substantial percentage of the text associated with said situation tags and said character tags (FIG. 16), and

said situation tags and said character tags can be incorporated with contextual accuracy into the behavior patterns (FIG. 17),

whereby said insertion of said situation tags and said character tags into said behavior patterns, reduces the production costs of generating said contextually-accurate two-way conversations.

6. The computer-readable medium of claim 4, wherein modeling the two-way conversation further comprises:

the computer communicating the text-based dialogue via other media for presentment to the user.

7. A system comprising:

a database to store;

(a) situation data that defines a set of situation tags and associated situation text, wherein the situation tags represent situations that describe contexts in which the user interacts with one or more of a plurality of characters,

wherein a system administrator manages a situation tag type for assembling situation-specific content, and,

wherein said system administrator creates said situation tags for assembling said situation-specific content, and,

wherein said situation tags can be incorporated with contextual accuracy into multiple behavior patterns, and

whereby said incorporation of said situation tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

(b) character data that defines a set of character tags and associated character text for each of the plurality of computer-based characters, and

wherein said system administrator defines a character tag type for assembling character-specific content, and,

wherein said system administrator creates said character tags for assembling said character-specific content, and,

wherein said character tags can be incorporated with contextual accuracy into multiple behavior patterns, and

whereby said incorporation of said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

(c) a plurality of behavior patterns, wherein each of the behavior patterns defines a conversation with the user, wherein each of the behavior patterns defines the conversation as a series of interactions with the user in accordance with a consistent attitude, wherein each of the behavior patterns can be used with the different characters and the different situations, and wherein each of the behavior patterns is represented as a set of linked frames that specify respective text-based dialogue to be presented to the user;

wherein said system administrator creates said behavior patterns using the text associated with said situation tags and said character tags, and wherein said situation tags and said character tags can be incorporated with contextual accuracy into the behavior patterns, and

whereby said insertion of said situation tags and said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations,

a computer coupled to the database; and

a software engine executing on the computer, wherein the software engine models a two-way conversation by;

selecting one of the situations as a currently selected situation, one of the characters as a currently selected character, and one of the behavior patterns as a currently selected behavior pattern;

presenting text-based dialogue from the currently selected character to the user within the online environment by merging;

(1) the text-based dialogue specified by the frames of the currently selected behavior pattern, (2) the situation text of the currently selected situation, and (3) the character text of the currently selected character.

8. The system of claim 7 wherein:

a system administrator manages a situation tag type for assembling situation-specific content (FIG. 11), and,

said system administrator creates said situation tags for assembling said situation-specific content (FIG. 15), and

said situation tags can be incorporated with contextual accuracy into multiple behavior patterns (FIG. 17),

whereby said incorporation of said situation tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations, and

said system administrator defines a character tag type (FIG. 18) for assembling character-specific content, and,

said system administrator creates said character tags for assembling said character-specific content (FIG. 19), and

said character tags can be incorporated with contextual accuracy into multiple behavior patterns (FIG. 17),

whereby said incorporation of said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations, and

said system administrator creates said behavior patterns using a minimal percentage of static text while incorporating a substantial percentage of the text associated with said situation tags and said character tags (FIG. 16), and

said situation tags and said character tags can be incorporated with contextual accuracy into the behavior patterns (FIG. 17),

whereby said insertion of said situation tags and said character tags into said behavior patterns reduces the production costs of generating said contextually-accurate two-way conversations.

9. The system of claim 7, wherein modeling the two-way conversation further comprises:

the computer communicating the text-based dialogue via other media for presentment to the user.