Public Works Engineering HATS:

Handheld Asset Tracking SystemFinal Interactive Prototype

Presented by

Dave Nguyen and Margaret Yau

Background

Public Works Engineering (PWE)

Streets

Buildings

Residents

Coordinates Street Building Number of Residents

(3.434, 56.34, 78.89)

1000 Oxford Starbucks 0

(3.48, 78,38, 188, 34)

3999 Derby Lee’s Apartment

30

Geographical Information System(GIS)

Map

Overall Problem

Public Works Engineering (PWE) is currently digitizing locations and attributes of street assets in the city of Berkeley using a geographic information system (GIS). Our goal is to design a mobile, natural, and efficient interface that facilitates the process of field data collection.

Representative Tasks

Observe

Record

Verify

Final UI Design: HATS

GPSReceiver

Global Positioning System

iPAQ

Customized ArcPad Application

(x, y, z)

Login

Smart Drop-down menu

Customizable

Memorize previous entered values

Exit Button

Main

Map navigationUniversal icons

InformationGPS

On/off buttonDefault on

HelpExitData entry

Streetlight icon

Data Entry

If GPS is on, point averaging progress is shown on title bar

Fields for streetlight attributes

Help for this specific asset

Asset Help Diagram

A picture of the target asset with explanation of each attribute

Data Entry

Smart drop-down menus

Error PreventionTypechecking

Database access

Data Verification

Latest entry squared

Information button

Test Measures

Process DataFrustration/Confusion

Satisfaction

Bottom Line DataTime for learning

Time for completing the tasks

Number of errors

Process Results

Error TypesUsing manual map navigation tools while GPS is accessible

Identifying wattage was confusing

Didn’t use the GPS when it was available

Confused about using manual entry when GPS signal could not be acquired

Positive IncidentsLikes logging on. Allows tracking of recorder

Liked previous values being stored for next entry

Task Completion

0:000:140:280:430:571:121:261:401:55

Tim

e

1 2 3 Avg

Participant

Scenario Time per ParticipantScenario 1Scenario 2Scenario 3Avg

Hypothesis #1: The time needed for new users to complete each task will be less than 180 seconds (3 minutes)

Result: Each task took much less than 180 seconds, even for difficult scenarios (average 61 seconds)

Error Rates

Hypothesis #2: The number of errors for new users to complete the task will be less than 3

Result: On average, there was 1.7 errors across each scenario.

Out of 9 tests (3 users x 3 scenarios) there was 1 exception with 4 errors. 0

1

2345

6789

Err

or

Fre

qu

ency

1 2 3 Total

Participant

Error Frequency vs. Participants

Scenario 1

Scenario 2

Scenario 3

Avg

Learning Time

Hypothesis #3: The time needed to train will be less than 300 seconds (5 minutes)

Result: Each user, given less than 5 minutes of training, had, on average, 1.7 errors/scenario

3:363:433:503:574:044:124:194:264:33

Tim

e1 2 3 Avg

Participant

Training Time per Participant

Changes

Separate Asset Icons from Function Icons

Change GPS Icon to be more clear

GPS Defaults On

Improved Help Screens

Cancelling GPS Reading

Clarify method of canceling GPS reading and using manual entry mode

Data Entry

Clarify Entry Units

Remove +/- Buttons

Summary

PWE is digitizing locations and attributes of street assetsOur prototype is designed to improve the efficiency and accuracy of the data collection processHATS consists of an iPAQ running a customized ArcPad application and a GPS receiverThe bottom-line data of our user study satisfied our three hypotheses, while the process data led us to design changes that clarified the GPS status control