“Before we were conceived, we existed in part as an egg in our mother’s ovary. All the eggs a woman will ever carry form in her ovaries while she is a four-month-old fetus in the womb of her mother.

This means our cellular life as an egg begins in the womb of our grandmother. Each of us spent five months in our grandmother’s womb and she in turn formed within the womb of her grandmother.

The < 3 G E N Project

The < 3 G E N Project is a hybrid (digital-physical), immersive and interactive theatre show based on a semi-structured psychological/sociological research on the digital divide between three generations of women from the same family.

This project stems from the urgent need to investigate the profound shifts brought about by the digital age in the relationships among grandmothers, mothers, and daughters. It seeks to address the widening and often insurmountable gaps that have emerged between them. Our objective is to bring forth the evolving dynamics and roles within the female lineage, while simultaneously offering tools to enhance communication and active listening to our audience. We aim to facilitate the rediscovery of the inherent value in intergenerational bonds.

We underscore the urgency for interventions bridging generational gaps. Comprehensive support for all demographics navigating the complexities of the digital landscape becomes imperative. This is our final goal and the effect we want to have in our audience.

Phase 1 - THE RESEARCH

The first phase of the project is a research where we will gather data through an ad hoc questionnaire, aimed at analyzing how each of the members of the family relate to each other, use technology, relate to the internet and how using digital technology has affected the way they connect with each other in their personal relationships.

Keeping pace with technological advancements is becoming an immense task for all three generations. How do each of them deal with it? How does it affect them?

We can observe the digital divide growing larger and faster than ever before, what do we do about it?

The societal impact of technological evolution is profound. We live in a “state of anxiety”, collective unease as we try to grapple with rapid changes.

The questionnaire is about exploring and understanding the relationships between three generations of women: grandmothers, mothers, and daughters and the focus is on how the internet and social media have influenced these relationships.

Click HERE to share your own story with us and be a part of the project

Phase 2 - THE DATA

A team of psychologists and artists will carefully examine the gathered data. The findings from this research will be used to create a practical booklet with exercises, advice, and tips on how to strengthen the connection between grandmothers, mothers, and daughters, both in their in-person and online interactions.

Phase 3 - THE SHOW

During the third phase of the project we will devise the play text and we will stage the show.

The < 3 G E N Project show is a hybrid experience, its physical part is immersive and interactive with three different proposals for each age group. For example, the age group of the grandmother will have a screen in front of them that will show images they will relate with, for example, while a video of Elvis is playing for a video of Billie Eilish will be playing in AR in front of the granddaughter, their cultural references are all different and that will inform the images and the language we speak with each of them. In essence, the physical staging will be three different shows in one.

The < 3 G E N Project will present both a specific online staging and a live, physical performance in which the portrayal of the grandmother struggling and feeling “older and obsolete” will underscore the potential repercussions on the elderly, emphasizing the necessity for inclusive solutions that cater to their evolving needs.

The character of the mother “worrying and hiding her struggles” will bring attention to the emotional toll and internal conflicts experienced by a significant demographic. This insight is pivotal for our project, address individuals who may be concealing their difficulties.

The emphasis will be on the daughter as the “target of the pressure” and paradoxically the most vulnerable one without the support or presence of her elders in her digital life.

The Stage

The Team

Beatriz Cabur

Director and Playwright

Beatriz Cabur is an innovative and multi-faceted theatre director and playwright, Lecturer, Digital Innovator, and Mentor. She has written and directed over forty theatre plays in Spain, Mexico, Italy, Austria, England, Scotland and the USA. Beatriz has been creating, writing and directing digital and online theatre, and theatre for social media, videoconferencing software, and livestream channels since 2012.

Giulia Cavallini

Psychologist and Director

Giulia Cavallini is a psychologist and gestalt psychotherapist with an active private practice working with individuals, couples and families. She graduated in acting at Teatro della Pergola (the national theatre in Florence) and is currently the theatre director of an immersive theater company in Florence. Giulia is involved in therapy groups and hosts women’s circles around the theme of women’s empowerment. Giulia also is a diversity and inclusion teacher at Gestalt Institute of Florence.

Violetta Mazurina

Software Engineer

Violetta is a Software Engineering student at the American University of Central Asia passionate about creating innovative solutions through coding and problem-solving. She has a strong foundation in programming languages such as Python, Java, C, and C++. She constantly expands her skill set to stay updated with the latest industry trends and technologies. She envisions a future of continuous technological advancement, where she aspires to contribute to groundbreaking software that elevates user experiences and fuels innovation.

Victoria Melo

Electronic Media

Victoria is an art student in her senior year, majoring in electronic media and time arts. Her work focuses on sound and video; sound art and photography with videographic approaches. She also excels in the creation of generative animations, designing immersive and interactive installations through creative code. From there, she works with electronic circuits, including both circuit bending and Arduino projects.

The Characters

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Individual User App Analytics Report
User: Noa, Age 16
Date: October 10, 2023
App Version: 2.0
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**Summary:**
– User Name: Noa
– Age: 16
– Total Time Spent in App: 2 hours
– Most Used Feature: Chat
– Recent Achievement: “Explorer” badge

**Feature Usage:**
– Chat: 70 minutes
– Virtual Wardrobe: 30 minutes
– Daily Quests: 20 minutes

**Performance Metrics:**
– App Crashes: 1 crash
– Load Time: 2 seconds on average
– Errors Logged: 5 in the past month

**In-App Activity:**
– Number of In-App Purchases: 1 (Virtual outfit)
– Favorite Avatar: “Galaxy Explorer”
– Friends Added: 3 new friends
– User Rating: 4.5 stars

**Location Data:**
– Most Used Location Feature: Nearby Friends

**Advertising Data:**
– Ad Impressions: 100
– Ad Click-Through Rate: 5%
– Ad Conversions: 2

**User Feedback:**
– Positive User Review: “I love this app! Chatting with friends is awesome.”
– User Suggestions:
– More outfit choices
– Add new chat emojis

**Privacy and Data Usage:**
– Data collected includes location (with consent), device type, and usage statistics.
– User data is used to personalize the app experience and is protected according to the app’s privacy policy.

**Recommendations and Insights:**
– Noa enjoys the chat feature; consider enhancing it further.
– Optimize app performance to reduce crashes and improve the user experience.
– Consider adding more outfit choices and chat emojis based on user feedback.

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Individual User App Analytics Report
User: Emma, Age 40
Date: October 10, 2023
App Version: 2.0
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**Summary:**
– User Name: Emma
– Age: 40
– Total Time Spent in App: 30 minutes
– Most Used Feature: Virtual Wardrobe
– Recent Achievement: “Fashionista” badge

**Feature Usage:**
– Virtual Wardrobe: 25 minutes
– Daily Quests: 5 minutes
– Chat: 0 minutes

**Performance Metrics:**
– App Crashes: 0 crashes
– Load Time: 1.5 seconds on average
– Errors Logged: 0 in the past month

**In-App Activity:**
– Number of In-App Purchases: 2 (Virtual outfits)
– Favorite Avatar: “Elegant Eveningwear”
– Friends Added: 1 new friend
– User Rating: 4.2 stars

**Location Data:**
– Most Used Location Feature: Local Deals

**Advertising Data:**
– Ad Impressions: 50
– Ad Click-Through Rate: 4%
– Ad Conversions: 1

**User Feedback:**
– Positive User Review: “Enjoying the wardrobe feature. Great app!”
– User Suggestions:
– More discount offers in the local deals section
– Variety in avatar hairstyles

**Privacy and Data Usage:**
– Data collected includes location (with consent), device type, and usage statistics.
– User data is used to personalize the app experience and is protected according to the app’s privacy policy.

**Recommendations and Insights:**
– Emma is a fan of the virtual wardrobe; consider expanding fashion choices.
– The app performs well with no crashes; maintain this high quality.
– Respond to user feedback by adding more variety in avatars and discounts in local deals.

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Individual User App Analytics Report
User: Giuseppina, Age 70
Date: October 10, 2023
App Version: 2.0
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**Summary:**
– User Name: Giuseppina
– Age: 70
– Total Time Spent in App: 10 minutes
– Most Used Features: Cooking and Sewing
– Recent Achievement: “Master Chef” badge

**Feature Usage:**
– Cooking: 5 minutes
– Sewing: 5 minutes
– Daily Recipes: 0 minutes

**Performance Metrics:**
– App Crashes: 0 crashes
– Load Time: 2 seconds on average
– Errors Logged: 0 in the past month

**In-App Activity:**
– Number of In-App Purchases: 1 (Sewing patterns)
– Favorite Recipe: “Classic Apple Pie”
– Friends Added: 0 new friends
– User Rating: 3.8 stars

**Location Data:**
– Most Used Location Feature: Local Craft Stores

**Advertising Data:**
– Ad Impressions: 20
– Ad Click-Through Rate: 3%
– Ad Conversions: 0

**User Feedback:**
– Positive User Review: “Perfect app for cooking and sewing enthusiasts!”
– User Suggestions:
– More vintage sewing patterns
– Option for larger text for easy reading

**Privacy and Data Usage:**
– Data collected includes location (with consent), device type, and usage statistics.
– User data is used to personalize the app experience and is protected according to the app’s privacy policy.

**Recommendations and Insights:**
– Giuseppina enjoys both cooking and sewing features; consider adding more vintage sewing patterns and classic recipes.
– The app is stable with no crashes, but improvements could be made to accommodate older users, such as an option for larger text.
– Continue listening to user feedback and making the app more accessible to a wider age group.

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