My Lil' Healthbot redesign.Fall 2022
Accessibility Project
Overview
My Lil' HealthBot is a vending machine that was placed back in 2020 in Robarts Library by The University of Toronto (U of T). Its purpose is to provide over-the-counter and hygiene products to students 24/7 at an affordable price.
While this vending machine solves availability and affordability problems, it is inaccessible to people with visual impairments (PVIs).
In a group of four students, we tried to redesign My Lil' HealthBot vending machine to address selected accessibility barriers.
Role
-
Background research on barriers faced by people with different visual impairments
-
Analysis of barriers of access to the vending machine
-
Participation in experts interview for feedback
Tools
-
Figma
-
Figjam
Target Group
People with different visual impairments, namely low vision, color blindness, and full blindness.
Because it was difficult to reach this protected population, we used forums and YouTube videos where some PVIs shared their experiences using ATMs and touchscreen kiosks.
Redesign Process
01
Background Research
-
Literary review on kiosks and accessibility barriers
-
Company's case study
-
Forums and YouTube videos on people with visual impairments using ATMs and touchscreen kiosks
03
Addressing Chosen Barriers
-
Listing My Lil' HealthBot barriers and picking the ones to address
-
Redesigned vending machine using Figma
02
Design Solutions For Accessible Kiosks
Research on available solutions to make touchscreen kiosks accessible
04
Redesign Evaluation
Experts feedback on the redesigned vending machine
Challenges of touchscreen self-service terminals use by PVIs
Informational challenges
Low vision acuity (20/70 or less)
Small text and/or graphics without magnification option
Extreme light sensitivity
Screens lacking contrast and luminosity adjustment options make standard visual systems and glare overwhelming
Blindness
Depending solely on visuals to present information
Reduced vision field
Placing important content in different areas of the screen extends reading and access time
Color blindness
Use of problematic color combinations and depending solely on colors to present information
Privacy concerns
High risk of theft to accomplish the smallest tasks at check out due to:
-
Inability to verify the charged amount and inserted PIN.
-
Having to share sensitive information with outside assistance.
Locating self-service terminals
-
Lack of braille and tactile layout plans to reach the terminals
-
The physical space around the terminals: lighting, shadows, physical obstacles, etc.
Technological literacy
Regardless of technology literacy, variety in terms of interface design makes it difficult to learn how terminals work, especially when standing in front of a long queue.
Social barriers related to health products
-
Sexual and reproductive health products are associated with purchase embarrassment.
-
The social purchasing environment (crowding, store clerks presence and friendliness) influence shoppers behavior.
-
People with visual impairments are perceived as asexual and do not require access to sexual and reproductive health products (condoms, birth control pills, pregnancy tests, etc.)
-
In a study conducted by Lindokuhle Ubisi (Ubisi, 2020) with young people with visual impairments, one of the female participants reported:
Sometimes you will see condoms. I would like to take them, but I’m afraid of what the people around me might think or say. You feel ashamed because you are disabled and what would people say. You fear that they would make assumptions about my disability and question if I am also sexually active. I have that fear and it prevents me from taking them. Then what happens is I end up not taking the condoms.
Barriers of use of My Lil' Healthbot
01
Physical
-
Lack of wayfinding signage leading to the vending machine
-
Pools of light on the floor created by artificial lighting
-
Glare on the screen as a reflection of the floor
03
Informational/communication
-
Missing information on the existence of this vending machine and its location
-
Recognizing when it is operating
-
Lack of assistive technology: braille keyboard, screen reader, magnifier, speech-to-text, color contrast adujstment
02
Organizational
Assuming that the target users (18-24) can buy menstruation products in the context of period poverty where one-third of Canadian women under the age of 25 cannot afford them
Cost of condoms acquisition is a barrier: youth are more likely to use them when provided for free
04
Social
-
Placement of the machine in a busy area near the food court
-
Screen, icons and labels size contribute to further embarrassment associated with contraceptives and menstrual products purchase
Design decisions
Vending machine
Motion sensor
Installing a sensor that signals to the user that they can activate the machine by touching the screen and informs them of the accessibility options
Privacy shields
Privacy shields extending from the sides and spanning half the length of the machine improves privacy
Anti-reflective film
Covering the touchscreen with a low-cost, quick-installation, anti-reflective film helps avoid glare from the floor and ceiling lighting
Tactile and voice outputs
-
Headphone jack
-
Tactile keyboard
-
Braille card reader
Smaller touchscreen
A smaller touchscreen adds to the privacy and removes the need to reach upwards or downwards to interact with the screen
Drag-to-read
Allows users to read using their fingers
Proposed kiosk redesign
Illustration 1: Front face of the machine and minimum and maximum heights of signals and controls as specified by the City of Toronto Design Guidelines for kiosks
Illustration 2: Angled view of the machine which shows the tactile keyboard and privacy shields
Screens & user flows
The HealthBot’s initial screen sequence includes the dormant welcome screen, language selection, purchase mode, an information popup regarding free products on campus, and the homepage.
Accessibility options on the HealthBot
Through the accessibility menu, users can adjust volume levels (the volume of their headphones or audio played from the machine aloud), select alternative contrast options such as inverse color, and activate the magnifier tool.
Purchasing a product through the HealthBot
Product pages feature a copy of the information provided on the product packaging, whereas the original HealthBot had limited, point-form, summarized information on the product pages.
Purchasing a product that is offered as a free resource on-campus at the University of Toronto
When users select a product that is available for free on campus, the machine provides another popup informing the user, and offers the user a list of locations where the specific product can be found on campus.
Getting feedback
We received feedback on our proposed redesign from Adrian Petterson, TA and a Research Assistant at University of Toronto, and Nandita Gupta, an Accessibility Product Manager at Microsoft.
Evaluation protocol
To have the industry experts conduct an evaluation of our redesign, walkthrough tasks were created to help answer two fundamental research questions:
-
Is the redesigned kiosk accessible to PVIs?
-
Are there any features that can be improved/added to make the kiosk more accessible for PVI?
Three tasks encompassed all the changes made to the HealthBot interface. These included exploring the newly introduced Accessibility Menu, purchasing an over the counter painkiller, and a menstrual product.
Recommendations
Privacy shields
Make the privacy shields full length to reduce the risk posed by shields spanning half the length of the machine. These shields may not be perceived by someone using a cane or with limited field vision
Add to cart
To accommodate returning users, it was proposed that we incorporate shortcuts such as an “Add to cart” for products while browsing the full list, rather than having to go to the product page
Speech-to-text
Incorporate speech input as an option, as headphone users will not be affected by ambient sound
Remove sensor
The sensor, introduced to make wayfinding easier, was highlighted as a possible privacy concern, with detection issues that might discriminate against users with shorter stature