Minumin Viable Product (MVP)

In order to test the concept, a MVP was introduced, which is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development.

Product Design Specification

The MVP represents one single touchpoint within the Future Food Hub network in urban environments. The experience bases on the scenario of the first encounter with the touchpoint. The user will interact with the touchable projection screen of the machine. The experience will end by navigating the users from the touchpoint to the mobile application.

The Configuration

The touchpoints are stand-alone machines distributed at different locations in the city. The interactive screen is an IR touch screen projected to the glass surface of the machine's front. In addition, the machine is compatible with a camera that fetches the users' facial data for emotion recognition. The machine is also capable of storing and distributing food upon user requests and payment.

The Touchpoint Interaction

The interface of interaction is the front face of the glass shell. The projection fits the whole glass area while keeping the interactive area clickable for users of various heights. The active user input is through the finger touch thanks to the IR sensor. In addition, the hub is also equipped with a payment sensor and a live camera for emotion detection. The camera is installed in a hidden manner to not disturb the user experience. The following images show the touchpoint in different stages of the experience. More details about the interactive network can be found in the following section.

Passive Statues
Intro Video
Interactive Flow
Food Recommendation

For the full prototype, please check the link or scan the QR code https://linky.design/future-food-hub-touchpoint

The Mobile App Interaction

The FutureFoodHub also provides a complimentary mobile app to our users. In the app, the users would be able to see how the city is doing as a community, the information of the touchpoints nearby on the map, and the order history of previous visits to the hub. With the mobile application, we aim to retain the users and build a sense of community, in a collective effort of making positive changes to the food system today.

Entry Page
Home Page
Settings
Nearby Hubs
Hub Details

For the full prototype, please check the link or scan the QR code https://linky.design/future-food-hub-app

Bill of Material and Services

Here is the list of components that allow Future Food Hub to be assembled and properly work, and the related costs and quantities. We assume that some components' costs could change into real industrial production and assembly.

Hardware

Name

#

Make

Unit Price

Quantity

Subtotal

Link

Model

1
Short Throw Projector
HF65LSR
LG
€899
1
€899
Short Throw Projector
2
Touch Screen with Infrared (IR) Touch Sensor
NECO-X 55”
Ncoover Layfoil
€328
1
€328
Touch Screen with Infrared (IR) Touch Sensor
3
Camera
Azure Kinect DK
Microsoft
€399
1
€399
Camera
4
Vending Computing Board & IoT sensors
Enhanced Vending Solution Package DK
Aaeon
€399
1
€399
Vending Computing Board & IoT sensors

Software / Services

Name

#

Make

Unit Price

Quantity

Subtotal

Link

Model

1
Smart Veding Solutions
Azure IoT Central
Microsoft
€0.013 per 1K messages
-
-
Smart Veding Solutions
2
Cloud Service
Azure A4v2
Microsoft
€0.2717/hour
-
-
Cloud Service
3
Face/Emotion Recognition Service
Azure Face API
Microsoft
€0.690 per 1,000 transactions
-
-
Face/Emotion Recognition Service

Interaction Flowchart

The following chart visualizes all the possible actions and choices that users can perform during a typical visit to the Future Food Hub touchpoint. In the flowchart, the use of emotion detection technology is also illustrated.

The system considers the video responses as “interested” if it has registered certain emotional responses up to a certain level. The assumption here is, based on the testing, that the user already has some insights into sustainability. Thus, more possibilities and innovative food options are shown to the user. On the other hand, when the system receives a “neutral” response towards the video, the assumption is that the user is not that familiar with sustainability-related topics. Thus, more facts about the problem will be introduced to the user. Lastly, If the video is skipped, the system would consider it as a “negative” response. The assumption here is that the user is not interested in the topic or have no time for watching the video. In this case, a short and quick brief of the topic will bring the user into the loop.

With all these, we aim to provide the correct information each individual user need to empathize with the topic and embrace future food that can be unfamiliar.

Product and Interaction Network

This diagram represents how we designed the system architecture, between the physical touchpoint and the digital platform behind it. The responses from the touchpoints as well as the user inputs are represented here in the dimensions of data transfer and enabling components. In addition,  the graph explains how the APIs, database and FutureFoodHub app work together to provide the ground for the touchpoint to work.

Contingency Risk Plan

Our touchpoints will be placed in the public space with a certain amount of use and as a consequence will encounter potential problems. We considered a list of possible risks, how to prepare for them and the possible responses should they happen. This chart allows us to ground the product even more. Although when placed in the real context, adaptation may be needed, this is a starting point where we could have an understanding of the challenges.

Risk

Risk Area

Preparation

Response

Vandalism, the touch point to be attacked or damaged.

Adopt vending machine standards:
double glassed window, hide componenets and so on. In general project a product that offers little to no access to internal component, to avoid
being open or destroy

Plan maintenance and control activities

Touchpoint Robustness

Touchpoint Robustness

Incorporate sensors that detect the status
of inner mechanisms.

Have a technical team prepared for this contingencies

Unexpected  failing mechanisms.

Touchpoint Robustness

Do research on the posible spaces for the installation of the touchpoints. Select the ones that meet the space requirements
and light requirements.

Placement challenges: product not fitting specific space constrains.
Placement challenges: light levels may affect projected interface
Unexpected  failing mechanisms.

Negotiations and permits may need to be done for installing the machines in specific places.

Data Management

Incorporate sensors that detect the status of inner mechanisms.

Redesign interaction if regulations are not meet or if new regulations apply.

potential privacy issues related to face
detection

Data Management

apply appropiate security protocols on the servers and machines

Have appropiate technitians in place to response to security problems

Data security risks

User Engament

gather performance data to validate the
machine interactions

emotional detection and subsecuent suggestions not making sense to users
people lack of engament
emotional detection not making sense to users

Prepare for redesigning flows according to
the response data gathered on the field.

Party On

Join the move. Know more about our project and how we envision the system helping people to adopt new future food.