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NexGen Theater

role

design lead

duration

4 months

background
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COVID-19 left people feeling isolated and disconnected from their peers, while the live entertainment industry suffered tremendous financial losses they have yet to recover from.
team

Callie Rigsbee

Angie Bai

Xinyi Cao

Dinko Dermendzhiev

Addisalem Aymecho

skills/tools

generative AI

user research

info architecture

Figma

objective
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Incorporate audience survey responses into a theater performance in real time with the use of generative AI to reduce technician strain, lower ticket prices while increasing replay value, and introduce new creative opportunities.

solution: personalized performances using generative AI

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problem statement

How might we use technology to reduce strain on the stage manager?

How might we encourage audience members to participate confidently in a performance?

solution

A web-app that allows the theater technician to take in audience input via queries, use audience responses to populate the pre-written story with generative AI, then output a cohesive narrative to the performer in real time.

01

define

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Third Rail Projects is an experimental theater company in Brooklyn, NY.

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Their projects re-envision the ways in which audiences engage in contemporary performances.

our sponsor
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user survey results

factors influencing attendance

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ticket prices

verbal interaction with performer

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very comfortable with interaction

what are the most/least valued performance elements?

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value the story line

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value audience engagement

project objectives         product features

needs
  • reduce technician strain

  • filter responses

  • keep it clean

  • fix grammar

features
  • pre-configure performances

  • provide 3-5 optimal responses

  • filter obscenity

  • correct grammar to fit script

02

iterate

journey map: "waiting is the hardest part"

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03

final product

audience user flow

AUDIENCE USER FLOW.png

technician user flow

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information architecture

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outcomes of testing

needs
minimal need for real-time technician input during performance

distillation of set of audience responses per prompt

minimal latency for response handling


removal of harmful/offensive responses
testing outcomes
25+ clicks vs 5 clicks
per prompt
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select and output top 5 responses according to "tone qualifier" context

profanity check is asynchronous (no latency); rest of response  handling takes < 10 seconds

90% harmful responses eliminated
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