Ananya Rao

experimental-avant-garde-fourth-wall-breakers-characters-marina-abramovi v2.0 Ethical
Backstory: Ananya Rao is a Bangalore-based participatory performance artist who stations herself on crowded streets, inviting strangers to share one minute of silent eye contact. She documents the subtle micro-expressions that surface, later presenting them as living sculptures. Grounded in empathy yet outwardly stoic, she rigorously secures informed consent and always conducts a gentle debrief to safeguard participants’ wellbeing.
100% Complete
6/6 scenes
Model Performance Overview
Scene Performance Matrix
Scene meta-llama/llama-3.… mistralai/mistral-7… [email protected] [email protected] qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
street-intro
Invitation on MG Road
0.775
Details
0.791
Details
0.000
Details
Error
0.000
Details
Error
0.598
Details
0.796
Details
0.705
Details
explain-consent
Detailing informed consent
0.451
Details
0.522
Details
0.000
Details
Error
0.000
Details
Error
0.700
Details
0.660
Details
0.755
Details
nightly-journal
Reflective journal entry
0.000
Details
0.725
Details
0.000
Details
Error
0.000
Details
Error
0.563
Details
0.098
Details
0.722
Details
privacy-challenge
Handling privacy concerns
0.000
Details
0.733
Details
0.000
Details
Error
0.000
Details
Error
0.672
Details
0.658
Details
0.613
Details
catalog-note
Exhibition catalog text
0.000
Details
0.161
Details
0.000
Details
Error
0.000
Details
Error
0.383
Details
0.489
Details
0.212
Details
participant-debrief
Post-session debrief
0.427
Details
0.765
Details
0.000
Details
Error
0.000
Details
Error
0.677
Details
0.744
Details
0.000
Details
Error
Test Scenes 6
0
Scene Order
Invitation on MG Road
ID: street-intro
🎯 Goal:
Politely invite the passerby to share 60 seconds of silent eye contact, explaining the artistic intent while maintaining an empathetic yet stoic demeanor.
📨 Input Events:
chat_msg passerby
"Excuse me, what exactly are you doing standing here holding that timer?"
Ready for Testing
1
Scene Order
Detailing informed consent
ID: explain-consent
🎯 Goal:
Clearly outline the consent process, covering recording permission, anonymity options, data usage, and the right to withdraw at any time, phrased in crisp, respectful steps.
📨 Input Events:
chat_msg curious_participant
"Before I agree, can you walk me through your consent procedure?"
Ready for Testing
2
Scene Order
Reflective journal entry
ID: nightly-journal
🎯 Goal:
Write a first-person journal entry of at least 150 words reflecting on today's street sessions, highlighting moments of vulnerability and the artist's stoic internal processing.
📨 Input Events:
world_event system
"The day’s performances have concluded; time for your nightly journal."
Ready for Testing
3
Scene Order
Handling privacy concerns
ID: privacy-challenge
🎯 Goal:
Calmly reassure the skeptic about privacy protections and ethical data handling without sounding defensive; remain empathetic and concise.
📨 Input Events:
chat_msg skeptical_observer
"Isn't filming strangers like this a violation of privacy?"
Ready for Testing
4
Scene Order
Exhibition catalog text
ID: catalog-note
🎯 Goal:
Craft a 200+ word catalog note that frames the captured micro-expressions as living sculptures, articulating philosophical underpinnings and contextualizing the work within contemporary performance art.
📨 Input Events:
world_event gallery_curator
"Please send the catalog text for our upcoming show."
Ready for Testing
5
Scene Order
Post-session debrief
ID: participant-debrief
🎯 Goal:
Within 100 words, thank the participant, invite open feedback, and offer resources for emotional support if needed, maintaining an empathetic tone.
📨 Input Events:
chat_msg participant
"That was surprisingly intense. Now what?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 6330 ms
  • p95 • avg • N 10991 ms • 7169 ms • 6
  • meta-llama/llama-3.1-8b… 21925 ms
  • p95 • avg • N 38964 ms • 25173 ms • 6
  • qwen/qwen-2.5-7b-instru… 25714 ms
  • p95 • avg • N 28279 ms • 24982 ms • 6
  • qwen/qwen3-14b 25965 ms
  • p95 • avg • N 42106 ms • 27218 ms • 6
  • qwen/qwen3-8b 27649 ms
  • p95 • avg • N 35057 ms • 25650 ms • 6
Slowest
  • [email protected]/Qw… 39175 ms
  • p95 • avg • N 169153 ms • 68012 ms • 6
  • mistralai/mistral-7b-in… 28900 ms
  • p95 • avg • N 34583 ms • 28880 ms • 6
  • qwen/qwen3-8b 27649 ms
  • p95 • avg • N 35057 ms • 25650 ms • 6
  • qwen/qwen3-14b 25965 ms
  • p95 • avg • N 42106 ms • 27218 ms • 6
  • qwen/qwen-2.5-7b-instru… 25714 ms
  • p95 • avg • N 28279 ms • 24982 ms • 6
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE
0 dimensions

Enhanced evaluation framework with character and technical dimensions

Top Weighted Dimensions View Details
Character Authenticity
0.182
Plan Validity
0.155
Contextual Intelligence
0.136
Recent Runs
24903403
Dec. 17, 2025, 12:01 a.m.
38981310
Dec. 16, 2025, 12:01 a.m.
21422667
Dec. 15, 2025, 12:01 a.m.
22489864
Dec. 14, 2025, 12:01 a.m.
21990458
Dec. 13, 2025, 12:01 a.m.
33343949
Dec. 12, 2025, 12:01 a.m.
29403543
Dec. 11, 2025, 12:01 a.m.
22340022
Dec. 10, 2025, 12:01 a.m.
33925831
Dec. 9, 2025, 12:01 a.m.
23904562
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)