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GREGORY CASEY | EXPERIENCE DESIGN

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WORK

WAREHOUSE MOTION ANALYTICS

All data display simulation
Begin filtering data
Begin filtering data
While some users need to see the "confetti nightmare," most floor managers are concerned with data for their department during their shift.
Filtering by department
Filtering by department
As one department is omitted, the change cascades down through the filters. The number of drivers and forklifts decreases and the data visualizations all reflect the changed scope.
Focusing on a single department
Focusing on a single department
By the time our user filters down to a single department, our data visualizations are becoming much more manageable.
Interacting with the data visualization
Interacting with the data visualization
Clicking on a specific data point in any of the visualizations isolates that data point across all visualizations. Users can select multiple points or click outside of the visualization to return to the entire data set.
Hovering over data points
Hovering over data points
Users can also hover over a data point for clarifying or additional information. Here the user hovers over a bar in the bottom bar chart to reveal the employee and average dwell time.
One day, one shift, one department
One day, one shift, one department
This represents the information that most floor managers need to view. However we want to avoid the interaction cost of re-filtering to this data set every time a user logs in. To solve this, we associate filter settings with a user's login and automatically apply the filters from the end of a user's session to the next.
Filtering by shift
Filtering by shift
Our user is not going to further refine the data set by eliminating shifts that are irrelevant for the insights they desire.
Auto-populating list of drivers
Auto-populating list of drivers
The employees that were assigned to Outbound department's first shift on the specified day are floated to the Drivers drop-down filter
Borrowing or loaning drivers
Borrowing or loaning drivers
Frequently an employee is loaned out or borrowed from one department to another. To get an accurate picture of the motion analytics, users can manually add or remove a driver from their data set.
Borrowing a driver
Borrowing a driver
Here the user manually adds an additional drive and the data visualizations update to include all data on the added driver and his vehicle.
Forklift filter
Forklift filter
Drivers have to badge-in to their vehicle so the Drivers filter informs the Forklifts filter. There are rare edge cases, however, when a Floor Manager would need to manually edit the selected forklifts so we accommodated that need.
Dwell-time threshold
Dwell-time threshold
The Dwell-time threshold drop-down menu offers a few pre-set options but a user can also type a value into this field.

 

VLT turned a logistics and transportation company’s warehouse into a living lab to demonstrate our digital space orchestration and motion analytics capabilities. We began by tracking vehicle assets (forklifts, high-loaders, etc.) in a small 10 aisle area of the warehouse to capture data on vehicle dwell times and aisle congestion. After a great deal of research and user interviews, I designed a range of visualizations for this data and worked with the client to determine which visualizations were the most crucial for the insights they desired. The data proved invaluable and helped the client reduce dwell time and congestion which in turn increased throughput and efficiency by over 22% in the first few months of data collection. As we expanded from our 10 aisle living lab to the entire 520,000+ square foot warehouse, the amount of data we captured increased astronomically. While certain users need the ability to see everything, for most users it’s visual dissonance and cognitive overload. I was asked to design a low-level-of-effort solution in a new interface to solve this problem.


NFL ONEPASS VENUE EXPERIENCE FOR SUPERBOWL LIV

Original storyboard sketches
Original storyboard sketches
Original storyboard sketches
Additional features included location sharing with friends, geo-fence triggered messaging for promotional offers, and an analytics dashboard for the apps administrator.
OnePass Home Screen
OnePass Home Screen
This was created when VLT was still named VLS (Verizon Location Services). We got the new moniker a few months after Super Bowl LIV.
Geo-fence triggered messaging
Geo-fence triggered messaging
Outdoor to indoor routing
Outdoor to indoor routing
The user is routed from the parking lot to the entrance nearest their section and then directly to their seat.
Turn by turn directions
Turn by turn directions
"Blue dot" positioning
"Blue dot" positioning
The really tricky thing about indoor positioning is that you introduce an entirely new axis. We need to determine position on the vertical axis so we can place the blue dot on the correct floor.
Search with predictive completion
Search with predictive completion
Displaying search results on map
Displaying search results on map
Sorting search results
Sorting search results
Routing to a point of interest
Routing to a point of interest
Venue Manager interface
Venue Manager interface
This is the interface we designed to produce the digital twin of our venue. As we were on such a tight schedule and a small group of VLT employees were the only ones using this interface to create the digital Hard Rock Stadium, it didn't get the polish that later versions enjoyed.
Moving into the floor plan and points of interest
Moving into the floor plan and points of interest
Every section, concession stand, vendor, restroom, automated external defibrillator, ATM, and trash receptacle was mapped and included in the digital twin of Hard Rock Stadium.
Floor view displaying impassable barriers
Floor view displaying impassable barriers
Our routing algorithm needed to know where barriers existed and architecture blocked passage so that it could provide a viable route for the user to follow.
3D view of paths
3D view of paths
This view of valid paths on which we could route users through the stadium was crucial for testing purposes and ensured that we did not route users through restricted areas.

 

These are screens from a prototype created as a Hackathon project for Verizon Location Technology. At the time of the Hackathon, I was working on a Digital Space Orchestration project that involved an augmented reality component. I thought our indoor way-finding technology coupled with our augment reality capabilities could be applied to a museum setting and make for a much richer and informative experience. It takes headphones and an audio tour to an entirely different level.


VIRTUAL DOCENT

This is alt text
This is alt text
Virtual Tours
A listing of all available curated virtual tours.
Indoor wayfinding
Indoor wayfinding map
The indoor wayfinding map leads the user to the first work of the tour.
First stop on the Virtual Tour
First stop on the Virtual Tour
A transcript of the art historian's talk track is synced with the audio. The prototype included the audio track...a voice-over kindly provided by my wife.
Augmented Reality view
Augmented Reality view
In AR mode, new insights into the work are offered. Here a portion of this study is compared to the artist's final version of the work.
Exploring the map
Exploring the map
Users can orient themselves and explore what works are in other galleries in the museum.
Exploring galleries
Exploring galleries
The user has tapped on Gallery 516 in the map and is presented with details about the gallery.
Viewing a gallery in AR mode
Viewing a gallery in AR mode
In AR mode, the title and artist of works can be viewed. Tapping on the projection will reveal further details about the corresponding work.
AR in-depth analysis
AR in-depth analysis
For certain prominent pieces, multiple touch are projected onto the work.
Exploring the details
Exploring the details
Tapping a touch point triggers a topic tag.
Topic tag details
Topic tag details
Tapping on the topic tag provides the user with additional content; text, audio, or additional visuals depending on the nature of the information.
Virtual exhibits
Virtual exhibits
Collections that are not currently on display can also be accessed. Here, in a rest area, the user selects a virtual tour.
Virtual Tour's XR experience
Virtual Tour's XR experience
Works in the tour are projected onto surfaces in the surrounding space.
Virtual Tour additional information
Virtual Tour additional information
Tapping on a projected work reveals additional information about the work or the work's role in the Virtual Tour's topic.

These are screens from a prototype created as a Hackathon project for Verizon Location Technology. At the time of the Hackathon, I was working on a Digital Space Orchestration project that involved an augmented reality component. I thought our indoor way-finding technology coupled with our augment reality capabilities could be applied to a museum setting and make for a much richer and informative experience. It takes headphones and an audio tour to an entirely different level.


EBAGS CONNECTED TAGS APP

Main menu
Adding a bag and a tag
Adding a bag and a tag
Users would photograph and name a bag and then associate it with the Connected Tag and select the contact information to show when the tag's QR code was scanned.
Newly created tagged bag
Newly created tagged bag
The user's camera bag is now tagged.
List of my tagged bags
List of my tagged bags
This screen displays all the tagged bags for her and her partner.
Found bag message
Found bag message
Having misplaced her camera bag, our user marked it as lost. When the Connected Tag was scanned by her Uber driver, he was able to send her a message.
Comps of key user flows
Comps of key user flows
Created in Adobe Xd, these comps were used to create a prototype that was used for usability testing.

I worked with a development agency in Kyiv on this project. eBags Connected Tags were a rethinking of traditional luggage tags. Where luggage tags provide all your personal information for anyone who cares to look, Connected Tags allow you to control exactly what personal information you are comfortable divulging. They also provide an immediate and direct means for someone who finds a lost bag to contact or message the owner. The Connected Tag feature was native so I designed an Android and iOS experience that conformed with Material Design and iOS HIG standards respectively. The shopping and other features leveraged existing mobile web content, making eBags a rather uncommon hybrid and native app.


ODNI – CAREER EXPLORATION AND DISCOVER (CED)

Project Overview
Accessibility and legal compliance
Accessibility and legal compliance
Best practices - form design
Best practices - form design
Best practices - site search
Best practices - site search
Breakdown of interaction models
Breakdown of interaction models
Interaction model patterns
Interaction model patterns
Overview of UX Design
Overview of UX Design
Site analysis - eHarmony
Site analysis - eHarmony
Site analysis - eHarmony
Site analysis - eHarmony
Upon concluding the examination of each site, it was important that the implications of the analysis were tied back to the CED project.
Site analysis - LinkedIn
Site analysis - LinkedIn
Success Criteria
Success Criteria
Understanding one's audience
Understanding one's audience

While with EffectiveUI I worked on two projects for the Office of the Director of National Intelligence (ODNI). The CED project was unclassified so I won’t get in trouble for sharing them here. ODNI recognized that US intelligence agencies were losing too many people to the private sector. Making it easier for members of the intelligence community to discover new and relevant opportunities across all intelligence departments would help to staunch the brain-drain. Earlier attempts had failed because they struggled to match a candidate’s skills and experience with those required for open positions and the process by which a candidate created a profile was, according to one interviewee, “totally unusable, just garbage.” Therefore this is project kick-off study had two goals. The first was to explore best practices in form design and user engagement and then apply this to an examination of sites with in-depth, long-form profile creation. The second goal was to be a primer for ODNI, showing them what a user-centered process looks like and what benefits it brings to the table.


OTHER UX GOODIES

5G propagation visualization
5G propagation visualization
5G propagation visualization
I created this to illustrate how VLT's Computer Vision AI would help determine line-of-sight, 5G ultra-wideband signals would propagate from different beacon placements.
EZMile screens
EZMile screens
Verizon headquarters in Basking Ridge, NJ is something of a living lab for the company's innovation. The site has several autonomous shuttles from the offices to parking. These screens were presented on large, vertically aligned TV's and showed off Verizon's computer vision and autonomous mobile vehicle capabilities. It also analyzed data on shuttle ridership. Unfortunately Covid hit just as the project got going and the offices were closed.
Route analysis
Route analysis
This is an early visualization for the first project in this portfolio, Warehouse Motion Analytics. At this point VLT was looking to create its own portal so the UI is quite different.
Aisle speed analysis
Aisle speed analysis
This is an early visualization for the first project in this portfolio, Warehouse Motion Analytics. At this point VLT was looking to create its own portal so the UI is quite different.
Early Congestion analysis visualization
Early Congestion analysis visualization
This is an early visualization for the first project in this portfolio, Warehouse Motion Analytics. At this point VLT was looking to create its own portal so the UI is quite different.
Journey map
Journey map
Journey map produced for a large contextual user research project for eBags. Journey maps were created for all 10 participants in the study the insights from which lead to several high priority projects that reduced cart abandonment, reduced friction points in our user flow and lead to a +7% increase in site revenue.
Journey map
Journey map
Journey map for a user in a research study conducted for Navy Federal Credit Union.
Persona collection
Persona collection
Reaching way back to 2009, here is a sample of the personas I created for Disney's online gaming. Collecting any PII on children (like would happen when kids create profiles to play online games) is fraught with legal considerations.
Persona creation
Persona creation
A personal created for a project with CenturyLink and Savvis.
Synthesizing and analyzing research
Synthesizing and analyzing research
My work with National Oilwell Varco (NOV) had me conducting research in the US and Dubai. We employed the mental model methodology to research, which leads to a lot of hands-on dissecting of finds but also a lot of collaboration. The right-most photo shows Khang, our NOV product-owner, and me breaking down "atomic tasks," the quanta of the mental model.
Mental model visualization
Mental model visualization
This visualization is one of the key outputs of mental model research. It breaks down every behavior into "atomic tasks," categorizes them and reflects what existing support for the behaviors as well a gaps representing opportunities. A printout of this was about 20 feet long.
VLT redesign of Senion site
VLT redesign of Senion site (desktop)
In the summer of 2021, VLT acquired Swedish indoor-positioning provider, Senion. With that acquisition, Senion's products and site had to be redesigned to conform with Verizon's exacting brand guidelines.
VLT redesign of Senion site (mobile)
VLT redesign of Senion site (mobile)

This gallery includes work that will offer a little more insight into the scope of projects I’ve been involved in. It includes examples of persona and journey map creation, research methodologies, 3D design, iterations of projects looked at in more detail earlier in the portfolio, and just some work that I really enjoyed.

Copyright © 2023 · Gregory Casey