UCD + Designing for Voice: Chance — the healthy eating assistant.

Chance — our healthy eating assistant.

TL;DR

  • User-centered design class at University of Washington (HCDE 518).

Context

This project took place in Fall 2016 as part of the HCDE 518 class (Introduction to User-Centered Design) at the University of Washington.

The class professors were:

Project Objectives

  • Familiarize ourselves with the user-centered design process.

Project Team

Process

Initial Problem Space

Our team originally converged with a mutual interest in procrastination. We initially aimed to help people use the misspent time towards working in their tangible goals. Midway through the process we got feedback from our professors that given the scope and time frame of the class, we should narrow our scope considerably.

Original design question: How might we help young, urban professionals disrupt procrastinatory actions and achieve their self-development goals?

Updated design question: How might we help young, urban professionals achieve their goals of eating healthy?

Surveys + Initial User Research

We created a survey questionnaire using Google Forms to capture participants’:

  • Goals (type, timeframe, etc.)

Five semi-structured interviews took place with a variety of participant age ranges. These interviews centered on motivations, challenges, strategies that have helped participants achieve their goals, and details on the process — how they felt during the process and when accomplishing their goals to understand motivations and incentives that people have to work towards their healthy goals.

We carried out two contextual inquiries with three participants. In typical fashion, a brief semi-structured interview took place, and then one participant was observed during a reported typical weekday, while the other two observed during a reported typical week-end day. By triangulating the insights from the surveys and interviews with the contextual enquiry, we were able to evaluate how the individual routine of participants aligns to being able to eat healthy and identify specific challenges that might not be described during an interview or captured in a survey response.

Total participation:

• 75 participants completed the on-line survey.

• 5 individuals were part of the semi-structured interviews.

• 3 individuals in two households took part in the two contextual inquiries.

Initial Research Findings

Through our survey findings, we discovered that the majority of our target demographic (94.3%), have goals they currently aren’t achieving. The main categories of goals we found people had were physical health goals, career goals, financial goals, and mental health goals. A structure or system that fits into participants’ daily routines/activities was identified as extremely helpful.

More than half of the interview participants reported that fatigue after a day at work and having to do chores stopped them from working on goals; they prefer to do easily rewarding tasks like doing very lightweight cleaning, and/or more leisure activities (watching TV/streaming media/gaming).

Target users

Originally, target users were young, urban professionals that are between ages 25–35. After the initial user research, we refined our target users to be young urban professionals, ages 21–35, who work between 8–12 hours per day, 5 days a week. They have short-to-medium goals all related towards eating healthy.

Un-ordered cluster of research findings.
Affinity mapping the types of goals our research identified
Grouping motivations, challenges, and processes behind participants’ goals

Design Requirements

Based on the goals (and the variables that help participants to accomplish them) we identified the design requirements for the solution:

  • Portability — Allows for user to access information on the move. We will likely design something that allows for a mobile application or wearable.

Personas

Originally, three different personas were developed. After some recommendations from our professors, we centered in one:

Andrew: Recent graduate with little cooking skills and time, whose work and hobbies take most of his time, and someone that, using the right time management and cooking help can achieve his healthy eating goals.

The second persona was Theresawe only created her persona, but did not create any further usage scenarios for her due to time constraints.

First drafts of the personas after identifying differences in participants’ actions, motivations, processes, and incentives

Solution Brainstorming

We came up with 15 ideas on how to solve for the scenario + persona. We also validated the top three with some of our potential customers from our target audience. The top three that we selected were:

  1. A printed stick-on tattoo that contained a circuit that could be programmed to interpret nutritional state based on skin contact.
  • Good: Relatively discreet and you can always see the current nutritional state.

2. A self-piloted drone that would bring in food/ingredients on-demand.

  • Good: No need to worry about having ingredients at home — freshness always guaranteed.

3. 3D Printer capable of printing recipes — either custom owner-created recipes, or recipes from professional chefs. It would also have a screen to show the final product.

  • Good: Leverage social networks/big distribution media for recipes (YouTube/Facebook/etc). Preparing meals does not require significant skill.

We decided to do a mix of these, plus use a few additional characteristics that would allow us to reduce the potential negatives that we obtained in our concept validation. Our proposed solution became:

A voice-controlled assistant that can guide you to prepare healthy meals that align to your personal goals. It will be able to identify personal trends and preferences to suggest meals that you like and facilitate the process to obtain additional ingredients when necessary.

Paper Prototyping

We sketched a couple of ideas based on attributes we identified:

  • Should have a relatively compact footprint since it will most likely be placed in a kitchen counter.

We came up with the first paper prototype of our healthy eating assistant:

The birth of Chance

After a few iterations:

Eyes and vents drawn in

We also created screens for a phone companion app to set it up and configure additional settings:

Voice Interaction Design

Since users will speak to their assistant, we created an interaction flow for our core scenario:

Sample flow for our core voice interaction scenario.

User Scenario Validation (with users!)

We used a paper prototype to familiarize participants with the solution concept and to make it easier to build a connection when interacting with a new device.

Chance eyeing the cookies before a participant arrived for the test.

The Usability Testing focused on two big processes: OOBE set-up, and “cook-off”, where the user cooks one meal with help from Chance.

Instructions for the OOBE Testing

Testing the voice interactions was challenging — we created pre-recorded dialogs using Google Translate. The audio conversation was downloaded and embedded in a PowerPoint slide so we could set the context, play the voice prompt, and then capture the participant’s response:

Slide from the deck used to test the voice interactions. Each Cooking Assistant dialog had a slide with a prerecorded audio bit.

From our testing, we refined the OOBE and the voice UX design.

  • The OOBE provided more details around permissions, and offered info on additional services that could be connected to Chance (Amazon Fresh, InstaCart, etc).

Wrapping It Up

For our presentation, we created the high quality screens incorporating user feedback:

One of the screens used for the OOBE.

After a visit to Ikea, Chance became real(ish):

Glass, metal, googly eyes, MAGIC. Jony Ive would be proud. Or not.

We created a presentation with the process and some cool long term vision ideas like:

  • Cooking is a very humane activity — it can bring together families and friends. As people relocate farther from home, Chance could enable telepresence to bring those friends and families closer (albeit digitally). We could use its eyes as cameras, and the dot on its forehead as a projector so you can cook with distant family members.
Click here to see our class presentation.

Project takeaways.

User-centered Design is awesome! Our participants really enjoyed the idea, and their input was extremely valuable for our prototypes. Rather than create another gadget that seems half-baked, we defined the right personas and then solved for their needs through the UCD process.

Designing for voice is fun — and hard. Here are some principles we identified after testing the voice flow with participants and redesigning it afterwards.

Voice UX design principles:

  • Set yourself in the most specific context possible — you should design for the most granular scenario.

PS — Why the name “Chance”?

We originally were 4 team members. Due to some work reasons, one team member had to drop the class. We wanted to include him in the process, so we reached out to him:

Form + function = tech for humans. PM @Microsoft building the future of @Windows (fmr @Azure_Synapse , @MicrosoftDesign ). Nobody wins unless everybody wins.

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