Mini Deadline 4

The Setup: I conducted a passive, naturalistic observation during a walkthrough of my local shopping centre. I wanted to see how individuals with mobility needs naturally handle the environment without any interference or filtering.

The Findings: While the centre generally functioned okay, and I didn't see anyone face catastrophic infrastructure failures, I noticed a few really interesting workarounds and spatial issues:

Slow-Opening Automatic Doors: I noticed that some of the automatic sliding doors at the entrances operated at a very slow sensor cycle. While an able-bodied person barely notices the pause, it completely disrupted the momentum of elderly shoppers with walking aids. They had to halt abruptly right in front of the door, waiting for it to finish opening, which looked tiring and disrupted their physical flow.

The "Trolley Hack": I noticed a few elderly individuals putting their canes or walking sticks inside a standard shopping trolley, using the trolley itself as a sturdier, more stable frame to help them get around the shops.

Social Navigation: I observed someone using a walker who needed to get through a crowded area. The physical layout didn’t block them, but they had to rely on the crowd's social awareness. Luckily, people moved out of the way seamlessly without even being asked, but it showed that navigation often depends on the crowd rather than just the building design.

Spatial Constraints: Looking closely at individual retail stores, several aisles were clearly too narrow to comfortably accommodate a standard mobility scooter or a wider wheelchair without creating a total bottleneck.

The Setup: For the controlled observation, I wanted an objective, external perspective on how a user interacts with accessibility data. I asked my boyfriend to be my participant. Since he is an able-bodied person, this wasn't about testing his specific physical needs; instead, it was a clean test of the platform's intuitive logic to see if the interface is universally easy to navigate or unnecessarily complicated.

The Task: I sat him down with the digital layout and gave him a specific local scenario: use Google Maps to find Pinelands High School, locate the wheelchair ramp they say they have, and try to verify whether it actually gives you a clear idea of how to access it.

The Findings:

• Visual Obstructions on Street View: It took him quite a while to actually find the ramp around the side of the building. When trying to use Street View to scout the layout, the trees completely blocked the front view. After going down the side road around the corner, one can find a ramp next to some bins.

• Unhelpful Crowd-Sourced Media: Looking through the general images available on Google Maps for the school didn't help much either. The existing photos are mostly focused on the prominent (but inaccessible) front entrance or the open sports fields, completely overlooking the actual accessible pathways.

• The Takeaway: This test highlighted how standard navigation tools fail users with mobility constraints. If an able-bodied person struggles to find a ramp virtually because the visual data focuses on aesthetic front entrances rather than functional side access, a person who actually relies on that ramp is left facing massive uncertainty before they even arrive.