Challenge

Moving can often seem like a continuous stream of stressful events. From the repetitive process of reserving a truck to the challenges of modifying bookings, coordinating with moving assistants, and handling a large truck, do-it-yourself movers using U-Haul can find the moving experience both disjointed and frustrating.

Objective

This all-in-one virtual assistant redefines the entire moving journey. It offers responsive voice-guided features that optimize tasks, enhance coordination, and provide real-time alerts and guidance. It's particularly adept at intelligently addressing complex requests, which is a valuable asset for movers under pressure. By doing so, it significantly boosts the efficiency and overall enjoyment of the moving process while simultaneously alleviating driving concerns through hands-free, real-time support.


Koo

Transforming Trade Show/Event Experiences with AI: Introducing “Koo”

Artificial Intelligence (AI)

0-1 Product design

UX research

Prototyping

Timeline

2024 Jan - May

team

3 Designers, 2 Product Managers

Tool

Figma, Figjam

My role

ux research, 0-1 product design, usability testing, iterations

summary

Worked with Honda 99P Labs, our team Identified potential applications of generative AI and Large Language Models (LLMs) within Honda’s value propositions, focusing on enhancing interior wayfinding experiences and optimizing attendee experience. Our team designed an app “Koo” highlights the AI embedded features that can significant improve the attendee experience while considering the business impact.

emphasis

This project challenged our team to work on a product from 0-1, starting from researches on technology capability, and an understanding of stakeholder expectations, and an evaluation of market fit, we followed user-centered methods to approach the challenge. The MVP presented to Honda 99P Labs and received positive feedback.

Honda 99P Labs’s vision

During project kickoff, we received unclear project scope from the Honda team. Through meetings, we clarified and aligned  project scope is to explore an A.I.-based Attendee Assistant solution for large trade show/event.

Exploring an A.I.-based Attendee Assistant solution for large trade show/event.

There are three important parts we decided to explore based on our scope:
AI-based as technology: What is the current AI application and technology capabilities?
Attendee experience at Large trade show/event What are attendees looking for and what are the gaps technology can fulfill?Market fit:

research
Find out what AI can/can’t do

It’ll be essential that we understand certain core ML concepts, unpack preconceptions about AI and its capabilities, and align around best-practices for building and maintaining trust. Through researches on AI,  we had a comprehensive understanding of the current technology capabilities and limitations, and its applications.

Machine learning is the science of making predictions based on patterns and relationships that've been automatically discovered in data

Align technology with user needs

" Machine learning won’t figure out what problems to solve. If you aren’t aligned with a human need, you’re just going to build a very powerful system to address a very small — or perhaps nonexistent — problem.”

To align technology with our users need. We visited Pittsburgh Auto show, conducted filed research following AEIOU framework. At the tradeshow, we also talked to 50+ attendees to learn about their purpose of visit, overall experience, frustrations if any.

Though one auto show doesn’t represent all visitor experience, but through the single and direct experience as starting point, we synetheiszed findings and identified the important factors about tradeshow experience to further dive into.

Wayfinding

Indoor Navigation is never easy for larger tradeshow while many of the indoor navigation relies on traditional signage, or digital kiosks which insufficient information about where to go and how to get there.

Itinerary planning

Information exchange happens frequent such as Vendors encourage visitors sign up or visitors access to information offered by venues.

Information acquisition & sharing

Most users plan ahead of time who to talk to/and where to visit , they try to make the most of their time out at the event.

The solution - MVP concept

Trade shows are complex events that test the limits of human organizational skills. Attendees often struggle with. These challenges can make or break the trade show experience. In response, Koo promises not only to mitigate these issues but to enhance the overall experience, using a suite of AI-driven tools designed to make trade shows more enjoyable and productive.

Koo is not just a digital assistant; it’s a comprehensive solution designed to transform the trade show experience. By integrating these features, Koo provides a seamless and enriched experience for all attendees. It ensures that each participant can focus on what they came for — connecting with people, learning new things, and discovering opportunities — without the usual logistical headaches. Koo not only optimizes the personal journey throughout the event but also enhances the quality of interactions and the efficiency of information absorption.

A few key product feature:
Wayfinding: Develop an indoor navigation map to help users locate themselves, view the map, search for destinations, and navigate to their destination within the tradeshow.
Information acquisition/sharing: Enable users to capture and share key information from tradeshow materials like flyers and posters in various formats (text, audio, video).
Itinerary planning: Allow visitors to plan their tradeshow experience by creating an itinerary based on event dates and time slots.

final design OVERVIEW (mid-fidelity)
Personalized Itineraries

Koo uses advanced algorithms to generate customized itineraries tailored to each attendee’s preferences and goals. The schedules adapt dynamically based on feedback and real-time event changes. Attendees receive a tailored schedule that dynamically adjusts to their feedback and changes in event dynamics.

Dynamic Indoor Navigation

Leveraging cutting-edge technologies, Koo provides indoor navigation capabilities that guide attendees seamlessly through complex event venues, helping them get to sessions on time without getting lost, thus saving time and reducing stress.

Efficient Information Management

Koo can capture, synthesize, and store information from various sources, enabling attendees to focus on the event experience while Koo handles note-taking and insight generation. This ensures that attendees can focus on their event experience while Koo handles the task of note-taking and information storage, providing summaries and actionable insights when needed.

Enhanced Networking

Through its sophisticated AI algorithms, Koo can identify potential business contacts and facilitate connections based on mutual interests and relevant business opportunities, facilitating valuable connections among attendees.

how we get there

Details coming soon