Quarantine measures are being eased globally, yet the design of our workplaces and commercial spaces have not been repurposed to safeguard users from transmission of respiratory pathogens, such as the novel coronavirus that causes COVID-19.
Beyond infection, this can also increase anxiety amongst returning workers and patrons.
However, most businesses, especially small and micro businesses, are going through financial difficulties and may not be able to invest in large scale re-designs.
So then, how could we support employers to implement simple "design hacks" to prevent and reduce the spread of COVID-19 amongst employees and clients?
Indoors 2.0 is a machine learning platform where workplaces and commercial spaces can answer key questions about their indoor environment (e.g. open style vs closed offices; sensory doors vs handles; number of staff, clients etc), and receive automatically generated simple prompts they can implement to safeguard their employees.
These suggestions range from:
- Public health (such as having signs to remind persons about hand washing procedures), to
- Interior design/minor construction (reorganising spaces for physical distancing),
- Technological recommendations into the most cost effective, impactful small investments for businesses (e.g automated bathroom doors vs knobs), and
- Wellness (e.g. ensure natural light to reduce anxiety).
The impact of these measures should also be tracked, so that insightful datasets are built that can then harness machine learning to make better and continued suggestions (least investments, most impacts for each space, budget etc).
Suggested business model:
- For changes that are more challenging, there could be a B2B option to link the employers to qualified professionals or commercial places that can offer them solutions. As % is paid to the app.
- Businesses pay extra for more in-depth, extensive "hacks"