Reach out. Let's ideate.
dharani232k@gmail.com
Recognizing the pivotal role that an unbiased meeting room plays in fostering a healthy and productive work environment is paramount. An impartial setting ensures that all participants, irrespective of their background or position, feel heard and valued. In such a space, diverse perspectives are not only acknowledged but also encouraged, paving the way for more innovative and well-rounded solutions.
Equipod - An unbiased space
An initiative leveraging technology to promote unbiased practices
Equipod - An unbiased space
An initiative leveraging technology to promote unbiased practices
Role
UX research, UI, Idealogy
Team
1 UX Designer, 1 Design Lead
Duration
2 weeks
Tools
Figma, Miro
Embracing the swiftly evolving landscape of Gen AI technology, I've worked to enhance and align an idea with the dynamic design landscape. My research has been dedicated to integrating Gen AI with a user-centric experience, meticulously mapping out the process flow, and skillfully creating wireframes to conceptualize and enhance the proposed idea.
MY ROLE
This project aims to harness the power of artificial intelligence to create an environment where every voice is heard and valued. By infusing Gen AI into the design of meeting rooms, we aspire to cultivate a culture of fairness and openness, fostering collaborative discussions that embrace diverse perspectives.
01 | THE PROJECT
Focus Point:
1. User-friendly interface - to handle pile of cases faster and easier
2. Data Visibility - to have a Secured and organized authentication of data
3. Matrix based task assignment and task visibility
02 | TIMELINE
Firstly, acquainting ourselves with the fundamental concepts of Gen AI.
Coursera - Generative AI for Everyone
Workshop by a Subject Matter Expert
Secondly, Ideation and wireframing of the concept with UX.
The project invloves 2 phases
Week 1
Planning
Week 2
Research
Ideation
wireframe/Iteration
Results
Workshop
Use of Artificial Intelligence
Resources as reference
Insights :
Recognizing that even in the realm of technology, users may find tasks challenging. Applying Gen AI in UX requires simplicity and an approachable interface to ensure that users, regardless of their familiarity with technology, can seamlessly engage with and benefit from the solution.
Insights :
With the existing ideas of chat bot, document summarize and LLM models, we sparked the idea of putting the features together in enhancing an unbiased room feature in the meeting applications.
03 | Phase 1 - RESEARCH
We've delved into numerous resources (articles, research papers, workshop, course) to gain a comprehensive understanding of Gen AI, exploring its definitions, diverse use cases, and strategic applications to enhance the field of UX Design.
03 | Phase 2 - IDEATION
To ideate the model of Unbiased meet feature “Equipod”, we came up with user research and came up with a sketch model.
In most meeting scenarios there is always a cognitive bias, be it intentional or not. To overcome the issue, we are masking the voice and identity of the speaker. Thereby, introducing the feature of “Equipod”.
The focus point of the POD is;
To amplify the voices using AI model and assign voices for speakers in a different tone.
To mask the user identity providing roll number as user ID.
Add on focus points;
To summarize the meeting content and decision for future reference.
Option to save notes of speaker captions and their own.
Suggestions by Gen AI chatbot.
04 | Phase 2 - IDEATION
Organizer
Can initiate “Equipod”
take notes, access to summary, access to suggestion bot
Attendees
Can join the pod
Can take notes, gain access to summary,
access to suggestion bot
User Scenarios:
05 | Phase 2 - FUNCTIONALITY
Application of Gen AI:
I have referred to various LLM models that can fine tune the process; such as audio to text generator/ Assembly AI, Azure speech service, Bloom, chat bots.
Gen AI functionality estimation:
06 | DESIGN CONSIDERATIONS
User interface to be intuitive and accessible to individuals with diverse backgrounds and abilities.
Inclusive Interface
Prioritizing a user-centric approach by understanding the needs and preferences of all potential users and to implement user personas that reflect the diversity of your user base to guide design decisions.
User-Centric Design
Attention to the algorithms used to prevent unintentional biases
Algorithmic Fairness
To Clearly communicate the role of AI in decision-making to users and provide explanations for the system's choices to build user trust and understanding.
Transparency and Explanation
07 | DESIGN
For the time being I have come up with a low-fidelity model to demonstrate the feature.
Have come up with a minimalist logo
considering the equality in a conversation
08 | FINAL THOUGHTS
As a next step we are iterating the model and working on the high-fidelity prototype.
Learnings
The dynamic landscape of AI introduces tools that significantly support and elevate the design process.
The project reinforced the importance of building an AI feature that can adapt to evolving user needs and organizational structures.
The project emphasized the importance of comprehending user behaviors, preferences, and concerns in the meeting room context.
Dharani Kaliannan