AutoBot Presentation for Personal Informatics

42
AutoBot April 10, 2012

description

This is the final presentation for the design of Autobot, a smart phone app and built-in dashboard interface that provides information about your driving habits and promotes positive behavior change. This presentation details our design process, AutoBot's functions, and some of the theoretical framework used to explain our design decisions.

Transcript of AutoBot Presentation for Personal Informatics

Page 1: AutoBot Presentation for Personal Informatics

AutoBot

April 10, 2012

Page 2: AutoBot Presentation for Personal Informatics

Introduction

Mission of Autobot

Influencer Matrix

Research

Solution

Autobot Demonstration

Video, Design defense, Relevance to course

concepts, UI Standards

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Mission of Autobot

Mission:

1) Design a system that informs

people of their driving habits

2) Leverage

gamification, information

visualization, and social influence

to promote positive behavior

change

Problem: People give little

thought to how well they are

driving because it is

ingrained, habitual behavior.

Lack of awareness and

overconfidence prevents people

from improving their driving

habits, which can lead to

unsafe, costly, and

environmentally harmful driving.

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Influencer Matrix

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Research

Personal Interviews

Personas and Scenarios

Survey

Comparative Analysis

User Testing Competitive Apps

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Personas & Scenarios

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Survey

SI Distributed

126 responses

Thanks!

What direction

should we take? Driving behavior?

Maintenance

reminder?

What do people want

to know about?

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Survey: Important Results

89% 43% 40%89% 43% 40%

What’s

wrong with

my car?

Improve

driving

habits

Know

more

about their

habits

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Comparative Analysis

Competition thought

of many ways to

provide driving

feedback

Easy to understand

metrics for any driver

Acceleration

Braking

Cornering

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Testing the Competition

5 volunteers drove

around with “Driver

Feedback”

Impressed with the

simplicity of app

Enjoyed seeing where on

their driving path they

made mistakes

Did not feel motivated to

improve

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Solution

Multi-platform

3 Key Metrics

Behavioral Change Techniques

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The AutoBot Prototype

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In-Car App

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Console Design

myFord Touch Toyota Prius

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Console Design, cont’d

Autobot

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Functions

Minimized Summary

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Login

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Login

Limited barriers

to entry

Simple sign-in

& added social

influence

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Login: Facebook

Easy out

Simple language

of what will be

posted on FB

What information

is required of you

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Settings

Personalized

settings for

user-specific

feedback

Fine grain

control of

social

media

options

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Record a Trip

(video)

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Record a Trip

App records

driving data using

the phone’s

accelerometer, gy

roscope and GPS

sensors.

The device must

remain stationary

while recording.

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Self-Report

Shows perception

vs reality to reveal

misperceptions

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Summary, Maps and Alerts

(video)

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Summary

Average Points

Contextualization:

Shows impact of

driving on fuel

economy and

environment

Praise and advice

based on your data

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Map

Alerts: Shows specific

areas where the user

drove poorly

Contextualization:

Shows where user

drive well (green)

and poorly (red)

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Alerts

Problem specific advice

Contextualization:

Shows the cost of

wear and tear

incurred by mistakes

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Trip Log and Compare Trips

(video)

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Trip Log

Users can retrieve old

data and reflect on past

mistakes

History tracking:

User can pick and

choose previous

trips to view

Users can toggle

Routes to see how

routine trips change

over time

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Compare Trips

Users can juxtapose

data from two trips

to see how they

compare

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Graphs

(video)

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Graphs

Simple and Clean

Design

Trends over time

Impact

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Social

(video)

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Social: Profile

Social influence

Earning awards

for driving

behavior

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Social: Groups

Group inclusion

aligned by common

interests, location,

Gamification

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Green and Tips

(video)

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Green

Eco Status Level

Progress

Visualization

Eco Points History

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Tips

Clear monetary

incentive to

partake in this

activity

Benefits clearly

laid out

Simple

instructions

Social influence

Earning points

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Conclusion

Gamification

Users receive points based

on their driving behavior and

car maintenance

Leaderboards and groups

provide an

engaging, competitive

environment

Visualizations display

progress toward goals and

new levels

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Conclusion

Information Visualization

Stats pages display both

broad and specific views of

user’s data

Maps and Tips contextualize

data to be more compelling

Graphs allow the user to

compare variables

Self-reporting reveals

misconceptions about

behavior

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Conclusion

Social Influence

Users can customize their

profiles, giving them ownership

of their data and progress

Leaderboard publishes the

user’s data to their friends

pages, making them more

conscious of their driving

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Questions?