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GaChat
Graphical Chat Framework
Conversational UIs
luka.ai lark
links
keywords
sentences
conversations
Chat games - a new way to play and learn!
choice buttons
question: Choose a pill
choices: red pill or blue pill
sliders for numeric input
slider: how much awesome do you want?
next: score
task lists, score, health
tasklist: freechat
clickable: true
endtask: magnets game
Audio, Video, Images
inline images
split screen “visual
novel” mode
video playback with a
quiz about the content
youtube: { "url": "ekeMp-fRh4o", "videoStart": 70, "videoEnd": 80 }
ondone: videodone
Inline Games
blanks: [[blank]] I ask you some questions?
choices: could / would / should
Text chat with bots
Images: inline, scene, animations
Interactivity: Buttons, Choices, links
Numeric input: sliders, scales
Multimedia: Audio, Embedded video, callbacks
Script parser, NLP parser
Pre-created content: one button triggers
Player State: inventory items, scoring, XP, task lists
Games: Quizzes, Mini-games, Drills
Flow control: labels, topics, scenes
Visual Chat Markup / Protocol
Chatbots backed by NLP/AI and humans
pre-scripted
game / lesson
parser
NLP
engine
If low confidence match we pass to
human response layer.
One teacher/ operator can manage
many chat lessons in real-time.
Question + responses logged to
DB for future use and analysis.
Game script parser gives
instant response and controls
state, flow and content.
If no exact match, we pass
through to the next layer.
Natural Language Processing
engine analyzes user input. High
confidence items are tagged and
response returned to the game
script engine.
teacher/
operator
player input >
< game response
Most responses are handled by the system with just a small
amount requiring a real human teacher’s input
Lessons have many pre-
defined inputs, so the
parsing is massively
simplified.
browser based editor + authoring tools
Messaging Platforms are the new app stores
6 of the top 10 most used apps are for messaging,
and they are fast becoming interactive app
platforms.
We’re building educational “chat games” to integrate
with these. Our game UX is instantly familiar and
viral distribution is core to the product.
Thanks!
games
dc@rikai.co
github.com/dcsaneducation
messaging
Also check - SF meteor mini meetup
http://www.meetup.com/Meteor-miniMeetup/

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RikaiLabs - Graphics Chat UIs | GaChat

  • 3. Chat games - a new way to play and learn!
  • 4. choice buttons question: Choose a pill choices: red pill or blue pill
  • 5. sliders for numeric input slider: how much awesome do you want? next: score
  • 6. task lists, score, health tasklist: freechat clickable: true endtask: magnets game
  • 7. Audio, Video, Images inline images split screen “visual novel” mode video playback with a quiz about the content youtube: { "url": "ekeMp-fRh4o", "videoStart": 70, "videoEnd": 80 } ondone: videodone
  • 8. Inline Games blanks: [[blank]] I ask you some questions? choices: could / would / should
  • 9. Text chat with bots Images: inline, scene, animations Interactivity: Buttons, Choices, links Numeric input: sliders, scales Multimedia: Audio, Embedded video, callbacks Script parser, NLP parser Pre-created content: one button triggers Player State: inventory items, scoring, XP, task lists Games: Quizzes, Mini-games, Drills Flow control: labels, topics, scenes Visual Chat Markup / Protocol
  • 10. Chatbots backed by NLP/AI and humans pre-scripted game / lesson parser NLP engine If low confidence match we pass to human response layer. One teacher/ operator can manage many chat lessons in real-time. Question + responses logged to DB for future use and analysis. Game script parser gives instant response and controls state, flow and content. If no exact match, we pass through to the next layer. Natural Language Processing engine analyzes user input. High confidence items are tagged and response returned to the game script engine. teacher/ operator player input > < game response Most responses are handled by the system with just a small amount requiring a real human teacher’s input Lessons have many pre- defined inputs, so the parsing is massively simplified.
  • 11. browser based editor + authoring tools
  • 12. Messaging Platforms are the new app stores 6 of the top 10 most used apps are for messaging, and they are fast becoming interactive app platforms. We’re building educational “chat games” to integrate with these. Our game UX is instantly familiar and viral distribution is core to the product.
  • 13. Thanks! games dc@rikai.co github.com/dcsaneducation messaging Also check - SF meteor mini meetup http://www.meetup.com/Meteor-miniMeetup/