Jeel Jasani



User Experience
Designer
Process
Contribution
Team
Deliverables
Research
Research
Nirman Bisla
Final Designs
Cardigami
Cardigami
Lisa Kim
Research Booklet
Speed Dating
Speed Dating
Jess Phoa
Design Process Booklet
User Enactment
Paper Prototypes
Eric Yi
Website
High fidelity Designs
User Testing
.
Presentation
Prototype
Website
.
Concept Video

Introduction

The MHCI Capstone Project is an eight month long client facing project. Our client is a German Engineering Company - Bosch Ltd. With today’s momentum in sensor technology, Bosch wants to improve on its ecosystem of products to support rituals without sacrificing the user’s privacy. Bosch is currently developing a system that safeguards privacy within a smart home setting. They believe that users should never have to forgo privacy for the sake of convenience.

The capstone project entails in-depth user centered research followed by low, mid and high fidelity designs ending with working prototypes. A lot of the information here has been kept confidential due to a signed NDA.

The Problem Statement

To validate Bosch’s conceptual model of user privacy and security in the smart home and design a corresponding user interface that home owners can use to control devices in their home.

Research

Throughout the spring semester, we conducted domain research to understand people’s mental models of privacy. Our main objective was to first test participants’ understanding of security and privacy around smart devices. We conducted research with participants ranging from college students to working professionals, parents, and elderly people. Some of the methods we used include interviews, business origami, card sorting and speed dating.

Literature Review

At the beginning we wanted to familiarize ourselves with the domain of security and privacy. We did rounds of literature review and competitive analysis to help us inform our research.

Interviews with Experts

We interviewed subject matter experts to know about their knowledge of the field and get relevant insights from their research methods that could help us plan our process.

Interviews with Users

We interviewed seven participants to get a better understanding of a person’s mental model of privacy around smart devices and how data is stored. After priming users in this domain, we then subtly introduced aspects of Bosch’s conceptual model of smart homes, UPA Platform, to gauge their reactions. Through a daily reconstruction activity, participants recalled events that happened in the past day to come up with examples of how this model could make their lives easier.

Surveys

We wanted to gain insights about perceived utility and users’ willingness to share certain types of data across a spectrum of actors. We distributed two rounds of surveys on Mechanical Turk and both of which received 80 responses each for a total of 160.

Cardigami

Cardigami is a mix of two design research methods: card sorting and business origami. We wanted to explore, in real-time, potential use cases of the conceptual model through user generated smart device groupings. Without biasing our participants, we wanted to prime them in the context and then provoke them to generate solutions that would use Bosch’s conceptual model.

Affinity Diagramming

After we finished our research we went on to data synthesis. We put together all our notes and created an Affinity Diagram. We walked the wall and gathered insights from our research. We used these insights to narrow down our project scope and define our next steps.

Speed Dating

Speed dating is a design method for rapidly exploring application concepts and their associated interactions. We conducted speed dating sessions with new families and parents to test social boundaries of security, privacy and monitoring within the home. We used our insights from walking the wall to inform our scenarios.

Research Insights

We went over all the data garnered from our seventy day long research sprint and generated insights that would inform our design decisions. Here are our insights:

Users don’t fully understand the implications of using smart devices.

Users want to physically see and control data.

Users don’t want the system to replace them.

Users want an “Off” button.

Visions

We co-created visions for the future smart home with our client, based on our research insights. Here are the visions we came up with:

Control access and monitor guests based on trust.

Escalate data based on family dynamics.

Choose mode of communication intelligently.

Visualize device groupings and data-sharing.

Design Process

We narrowed down our scope based on the visions and decided on what functionality we wanted the app to have. We started ideating concepts for the app. Our design process started off with Lo-Fi paper prototypes. We then moved on to Mid-fi prototypes in Sketch, followed by a Hi-fidelity invision prototype. We did multiple rounds of user testing for each iteration.

Lo-Fi Prototyping

We did various iterations of paper prototypes. Here are some of the screens:

User Enactment

User enactment allowed us to experience how participants might interact with smart home devices and the interface used to control privacy in a simulated home setting. We used what is called a "wizard-of-oz" technique to make it seem real. The user enactment sessions, coupled with usability tests, informed our design decisions in order to produce a high- fidelity prototype.

Mid-Fi Prototyping

Based on our findings from our user enactment sessions with the paper prototypes, we went on to make a mid-fi prototype using Sketch. Here is the latest version we have.

Final Design

We made a few changes to our prototype based on the mid-fi and hi-fi testing. Here is our Final App design made using Illustrator and Photoshop.

Concept Video

Here is a concept video that explains Kin and how it will help smart home users.

Project Website

Here is a link to the website that I created showcasing the entire process we followed for the project - Project Website

Team Haven