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Leonardo A. Madariaga MS Human Factors Engineering Committee: Daniel Hannon - Mechanical Engineering-Tufts University Chris Rogers - Mechanical Engineering - Tufts University Ethan Danahy - Computer Science- -Tufts University of the physical environment in Makerspaces: exploratory study Implications for the design and user evaluation of a new workstationsystem April 2015

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Page 1: USABILITY STUDY

Leonardo A. Madariaga MS Human Factors Engineering

Committee: Daniel Hannon - Mechanical Engineering-Tufts UniversityChris Rogers - Mechanical Engineering - Tufts UniversityEthan Danahy - Computer Science- -Tufts University

of the physical environment

in Makerspaces:exploratory study

Implications  for  the  d

esign  and  

user  evaluation  of  a  n

ew  workstation-­‐syste

m

April 2015

Page 2: USABILITY STUDY

Discussion

Question

Background

Method

Results

AgendaExploratory Study of the Physical Environment in Makerspaces: Implications for the design and user evaluation of a new workstation-system

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Problem solving and innovationBackground

Top Down

Bottom Up

People/Places

Events

Vision Resources

Technologies

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Some examplesBackground

(Photo by Jonathan Dietz, used with permission)

MIT Museum Makerspace

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Background Some examples

(Photo by Jonathan Dietz, used with permission)

Malden High School

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Background Some examples

(Photo by Jonathan Dietz, used with permission) NUVU Studio

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Background

(Photo by Jonathan Dietz, used with permission)

Some examples

NUVU Studio

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Background

(Photo by Author)

Some examples

Artisans Asylum

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“Maker spaces support learning in an informal, play-focused environment that can cultivate an interest in science, technology, and design.”Scott Nicholson, associate professor in the School of Information Studies, Syracuse University, NY, 2012

“Despite a flurry of interest and activity around designing and creating Makerspaces, we still know little about the content and processes of learning in Makerspaces”Hakverson & SheridanHARVARD EDUCATIONAL REVIEW, 2014

CommunityShops

LibraryMakerspaces

MuseumMakerspaces

HomeShops

HobbyClubs

CommercialMakerspaces Making

EducationalMakerspaces

MachineWoodShops

Science Labs

Computer Labs

Collaborative spaces

VideoConference

DesignThinking

Educational

50´s 60´s 80´s - 90´s 00´s

A brief timelineBackground

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Market analysis: WorkstationsBackground

LocusStanding DeskUS$1400

Ergotron WorkFit-DSit-Stand DeskUS$670

Jesper Office Height-adjustable Standing DeskUS$399

RefoldCardboard standing desk$250

D-School/ Stanford UniversityPeriodicTableUS$493

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Market analysis: Storage & Organization systemsBackground

Really GoodStudent BinOrganization rackUS$180

i-RoverIPT102 7 Device Tech CartUS$320

D-SchoolStanford UniversityMobile StorageUnitUS$923

Copernicus3D PRINTINGStationUS$486

CopernicusSTEM MAKERStationUS$599

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Paper/Book Author Findings Physical Environment/Usability

The Philosophy of Educational Makerspaces Part 1 of Making an Educational Makerspace

Kurti, Kurti and Flemming (2014)

Flexible by providing open spaces with elements that can capture users attention the first time they visit a space

A Design Case Examining Learning in the d-lab Leigh et al. (2013)

Transparency achieved through visual and acoustical “access” to activitiesEnhanced interconnectivity and socialization spaces inviting collaborationSpatial plasticity through the movability of furnishings

A Multi-disciplinary Design Environment

Carlson and Sullivan (2006)

Providing team storage lockers to organize tools and projects supplies. Larger and flexible storage areas would be desirable features.Architectural concepts, such as flexibility and visibility, should inform most of the design decisions of design lab.

Development of a Multidisciplinary Engineering Learning Center Batill and Gedde (2001)

A flexible and adaptable space. (b) Work areas and benches for project fabrication tools, test and assembly. (c) Storage space for students (d) Movable, student operated equipment (e) Project development and set-up area

Ergonomics product development of a mobile workstation for health care

Toivonen et al (2011) Two Usability tools were used: VAS (Visual Analogue Scales) and System Usability Scale. (SUS). (N=8)The study was able to define 19 design criteria for improvement of the product.

A usability evaluation of workplace-related tasks on a multi-touch tablet computer by adults with Down syndrome

Kumin (2012) Well-defined tasks can be used to account for user error, time to completion and rating of difficulty performing the task with specific devices. (N=10)

Flexibility/Mobility/Display/Storage/Project focused

Literature review

Usability testing/ Well-defined Tasks

Background

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How can a Makerspace be more effective for managing larger amounts of projects and people at

the same time?

With limited (shared) spaceWith limited time (class 1/class2..)

With limited number of people to manage the space

Physical Environment

Question

Physical Structure

Symbolic artifacts

Physical stimuli

Open VS Closed OfficesSitting Vs Standing

Formal Meeting Space Vs CasualNatural Vs Artificial Lighting

Incoming email/notes on a wallSecurity signsSmell of coffee

Color of the wallsStyle of furnishing

Logotypes / Images

(Davis,  1984)

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ObservationWorkflow& Design

GoalsPrototype

Tufts Tisch/CEEO Jumbo´s Makerstudio/Arts & Crafts Center/

Cambridge Friends/Malden High School

Modelling a general sequential

worklfowDefining design goals

and specifications

DIY-DesignExperimental unit

Contrast with Market

Usability Testing

SimulateSet Up

Design activityClean UpStorage

Method

Classroom needs / College / School

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• How do people use the physical environment of Makerspaces?• How does the physical environment help Makerspace users achieve their goals?

Qualitative  research  method,  such  as  shadowing  were  taken  into  account  for  note  taking  and  understanding  actions  of  users  in  context  (McDonald,  2005)

ObservationMethod

(Photos by author)

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Enter

Check on-going activitiesRead announcements

Leave personal belongings near work spotRetrieve on-going project from storage space

Set-up

Gather supplies/tools

Start design

prototyping

Mobility around space

Clean-up

Leave

Functional perimeter

with tools and materials

Other central

workstations

Clean work surfaceDiscard scrap

Recycle

Storage

Retrieve materialsCheck availability of toolsCheck availability of equipment

Leave on-going project and materialsin process in storage area

Bring personal belongings

Collaborationwith peers

Discussion ofproblems

SequentialWorkflow

MakerspaceUsage

User

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Initial concept

The on-going project is the center of the making process

Shift from “stationary tables” to a “dynamic set of surfaces”

Allow to free up space

Improve storage / organization / set up / clean up

Method

(Photos by author)

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Product goals, specification and prototypingMethod

(Photos by author)

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Product goals, specification and prototypingMethod

(Drawings by author)

Below Market average (US$ 642)Cost per tray US$25

Does not consider Design/Assembly hours

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Product goals, specification and prototypingMethod

Below Market average (US$ 350)Does not consider Design/Assembly hours

(Drawings by author)

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Experimental prototypeMethod

(Drawings and Photo by author)

Tray RACKMovable Workstation

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Researcher

Usability testing

Tray Rack

Materials rack and 3D printer

EntranceDisposal

Can

Workplace

Setting A: Baseline condition

Setting B: Experimental

Experimental layout

Method

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•30 Participants (17Female/13Male)

•Age: M=24.6, SD=7.9

•18 sessions, spread over 9 days

•24 in groups of 2

•6 individually

•Performed a series of task using both

settings, two design activities

•Repeated Measures Design(Stangor, 2004)

•System Usability Scale(Brooke, 2996)

•User Experience Questions(Toivonen, 2011)

Usability testingMethod

Study was approved by Tufts University Institutional Review Board Nº 1501002

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Task workflow

Usability testingMethod

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PredictionsMethod

Increased System Usability Score (SUS)

Easier Storage & Organization

Adjective  scale SUS SD

Worst  Imaginable 12.5 13.1

Awful 20.3 11.3

Poor 35.7 12.6

OK 50.9 13.8

Good 71.4 11.6

Excellent 85.5 10.4

Best  Imaginable 90.9 13.4

Adjective Scale(Bangor  et  Al,  2009)  

Experimental (B)Standard (A)

Standard (A)

Experimental (B)

Faster Exitfrom Makerspace

Time<4 min

Subjective Eval.Subjective Eval.

Set Up/Clean Up

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Usability testingResults

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Open ended answersResults

Worksurface was equal in both settings (986 sq inches)Sitting still preferred for some detailed prototyping

Familiarity: Baseline condition is present in the majority of Makerspaces

(Coding according to Qualitative Data Analysis, Miles and Huberman, 1994)

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Open ended answersResults

Lack of storage spaceShifting positionAccess to powerClean up: Male

Projector size didn´t free-up space

8%#

31%#

8%#

31%#

15%#

8%#

0%# 0%# 0%#

8%#

0%#

41%#

0%#

41%#

0%#

12%#

6%# 6%#

12%#

18%#

0%#

5%#

10%#

15%#

20%#

25%#

30%#

35%#

40%#

45%#

Limited#Space#

Backpack#storage#

Materials#rolling#off#

Shi@#posiAon#

Clean#up#

Access#to#power#

Difficult#collaboraAon#space#

SiIng#

Projector#connecAon#

Projector#size#

Most%difficult%aspects%of%se0ng%A%

MALE#

FEMALE#

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Results Open ended answers

Storage directly in the project-trayFree up worksurface with small projector

Improved mobility: gather materials, supervise equipmentDevice-centered users require easy access to power

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Results Open ended answers

The project-tray felt “less spacious”Middle separation was perceived as a “separator”

Standing positionThe amount of devices can provoke issues with cords

15%$

8%$ 8%$ 8%$

38%$

8%$ 8%$

0%$ 0%$

8%$

0%$

35%$

12%$ 12%$

47%$

6%$

0%$

6%$ 6%$

18%$

0%$5%$10%$15%$20%$25%$30%$35%$40%$45%$50%$

Tangled$cords$

Middle$separa:on$

Needs$seat$

Tray$access$

Spaciousness$

Locking$Mechanism$

Weight$resistance$

SetEup$

Backpack$support$

Standing$

Most%difficult%aspects%of%se0ng%B%

MALE$

FEMALE$

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Hypothesis 1: Increased Usability of the Experimental Setting (setting B)

Setting A can be qualified as between “OK” and

Good”, whereas setting B can be qualifies as between

“Good” and “Excellent”. (Bangor et al, 2008)

Usability testingResults

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Usability testingResults

Hypothesis 1: Increased Usability of the Experimental Setting (setting B)

Both groups scored setting B with significantly higher scores. Less than 1 year: : t (15)=-3.0365, p=0.0042

More than 1 year: t (13)= -2.0812, p= 0.0289

People working individually (N=6)did not evaluate significantly the workstation as more usable.

People working in groups (N=24) displayed significant higher evaluation of experimental

workstation

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Usability testingResults

Gender-wise difference in evaluation.

Male participants scored significantly higher the new system, t(12)=-4.6209 p= 0.0006.

Female participants didn´t reveal any difference with statistical significance, t (16)=-1.6753,

p=0.1133.

Hypothesis 1: Increased Usability of the Experimental Setting (setting B)

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Usability testingResults

Nº Statement Male Female Diff. P-value(M diff F)

1 I think that I would like to use this system frequently. 4.54 3.94 0.597 0.0305

2 I found the system unnecessarily complex. 2.15 2.24 0.0814 0.789

3 I thought the system was easy to use. 4.31 3.76 0.5429 0.075

4 I think that I would need the support of a technical person to be able to use this system.

1.94 1.54 0.402 0.161

5 I found the various functions in this system were well integrated 4.31 4.24 0.072 0.817

6 I thought there was too much inconsistency in this system 1.94 1.62 0.32 0.252

7 I would imagine that most people would learn to use this system very quickly.

4.61 4.11 0.497 0.055

8 I found the system very cumbersome to use. 1.69 1.941 0.2488 0.305

9 I felt very confident using the system. 4.384 3.823 0.561 0.037

10 I needed to learn a lot of things before I could get going with this system.

1.69 2 0.307 0.188

Hypothesis 1: Increased Usability of the Experimental Setting (setting B)

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Participants within the average group (N=17) scored setting B with a higher

difference in terms of its Usability. (Makes sense: design for average)

Participant in the “extremes” (N=13) with either low or high standing elbow height

just reported a 1.1 points lower score in terms of Usability.

Usability testingResults

Hypothesis 1: Increased Usability of the Experimental Setting (setting B)

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User experience: storage & organization

Hypothesis 2: Better storage and organization of projects

Expected value for the workstation system was higher than expected (Statistically significant difference: t (29)= -16.0709, p<0.001)

No gender-wise difference in evaluationStrong perception that the system would make it easier to store and

come back to a project

Results

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User experience: storage & organization

Statistically significant , t(29)= -5.3866, p<0.001.

Positive evaluation of the user experience organization of projects

No gender-wise difference in evaluation

Results

Hypothesis 2: Better storage and organization of projects

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Usability testingResults

No statistical significance in differences between timings

Set UP Clean UP

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Usability testing

Is  it  faster  to  exit  a  Makerspace  with  Setting  B?

Significant difference between means

t(29)= -10.9958, p<0.001

Results

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Results Selected quotes

 “I  really  liked  the  storage  idea.  For  many  Makerspaces,  students  come  and  go  as  they  need  to,  the  

hours  are  less  regular.  It's  so  crucial  to  have  a  place  that  is  all  my  own  that  I  can  access  very  quickly  

and  easily.  Having  the  shelves  turn  into  work  stations  is  a  great  solution  to  that.    /    /  Also,  in  this  

environment,  when  a  maker  is  moving  from  machine  to  machine  or  back  to  their  computer  for  

adjustments  or  checking  the  various  projects  going  on,  they  are  very  active.  It  is  much  more  practical  

to  be  standing  up  at  the  standing  up  at  the  workstation  so  moving  around  and  switching  tasks  is  

easier”

Valued  aspects:    Storage/Mobility/Standing/Projector  size  and  loca6on

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Usability study met expectations. Further research is needed to understand why female scores did

not display significant differences. Adoption rate of the new workstation could be more dynamic, not

depending on the level of expertise.

Set up and clean up times did not display significant differences, although subjective perception

supports the idea that exit can be faster, storage and organization easier.

Sense of spaciousness was lower in experimental setting, even though both work areas were the

same. The presence of “edges” and “central division” is probably related to this

Most Valued aspects:

Mobility in the Makerspace: The project-tray decompresses the central zones allowing users to

move around using a functional perimeter.

Storage and organization of materials and projects: During the design and prototyping process

materials and/or projects won´t get mixed up, because the project-tray allows each user to

manage his/her own working surface.

Results Summary

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Simplification of the design task due to: time constraints of the experiment, fixed set of materials.

Results Limitations

Carryover effects: Difficult to isolate influences over users when they used one setting and then the other

Practice and fatigue: Continuous assessment in a limited period of time

Define tasks that necessarily require the use of different sizes of materials

Usability evaluation just after testing each setting / Think aloud

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Discussion

Developed a design for workstation-system based on current observation of workflow and needs in educational makerspaces

Tested an experimental method comprised of repetitive tasks related to Makerspace operation.

No previous findings related to clean up, set up and storage tasks when using workstations.

Replicate the study with different type of seats

Compare workstation performance against other commercially available standing workstations (adjustable and non-adjustable)

Survey: Perceived usefulness and limitations among teachers

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Acknowledgements

Friends

CommitteeFamily

CEEO Administrative Staff

Graduate StudentsParticipants

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Questions?

Leonardo [email protected]

MS Human Factors Engineering

Advisor: Daniel J.Hannon

Tufts UniversityDepartment of Mechanical Engineering

April 2015

of the physical environment

in Makerspaces:exploratory study

Implications  for  t

he  design  and  

user  evaluation  o

f  a  new  workstatio

n-­‐system