SlideShare a Scribd company logo
INCORPORATING
USABILITY INTO
THE DATABASE
REVIEW PROCESS::
NEW LESSONS AND
POSSIBILITIES
Ilana Barnes

New Lessons and Opportunities

@librarianilana
Business Information Specialist
Assistant Professor of Library
Science
Purdue Libraries
OUTLINE
Problem Statement
The Project
Results
• Satisfaction Survey
• Heuristic Reviews
Lessons, Opportunities
Future Directions
PROBLEM STATEMENT
How can we better record
usability errors in vendor products
to communicate those findings
back to vendors and more formally
incorporate usability into our
collection assessments?
THE PROJECT
Database Reviews 2013
• Yearly (Summer project) on a three year rotation
• ~ 100 databases reviewed each year (300 total)
• Each subject librarian reviews 1-8 databases
• Usage, audience, content, cost per use
• Certain information needed for discontinue
decision
THE PROJECT
Database Usability Heuristic Form
• Instructions to orient researching usability
• 8 sections with 1-4 likert questions and
room for comment at the end
• Required for all database reviews by
Associate Dean
Satisfaction Survey- how they liked the
process, the form, etc.

IRB-approved, Administration-backed
DATABASE USABILITY HEURISTIC REVIEW
DATABASE USABILITY HEURISTIC REVIEW
Libraries and Usability Tests
• Websites
• Vendor Databases
• Vendor Discovery Layers
Does the incorporation of heuristic
reviews affect the database review
process?
• Is it redundant with other parts of
the database evaluation process?
• Is it perceived as valuable?
DATABASE USABILITY HEURISTIC REVIEW

37 databases
8 librarians
RESULTS- SATISFACTION SURVEYS
Overall, how much impact did the Database Usability Heuristic Review have on
your final selection decision?
No Impact
Some Impact
Highly Impact
Total

Response
7
1
0

%
88%
13%
0%

8

100%

“Usability is seldom a determining factor. We
might complain to the vendor or ask for
changes for usability but unless a database is
completely unusable, I don't think it would
affect retention.”
“I completed the database review
form prior to the heuristic review so
felt that I had sufficient information
to make a decision.”

“The database that I am reviewing is core
to the research done in a department.
The current product is well designed. I
didn't need the heuristic review to realize
that.”

“The deciding factor is the importance of the
content. The interface has zero influence on
the decision to keep these databases.”
RESULTS- SATISFACTION SURVEYS
Overall, did you find the Database Usability Heuristic Review
redundant with other parts of the database review form? Why or
why not?
Response
%
Yes
No

4
4

50%
50%

Total

8

100%

“We already have to consider whether
and how users are learning the database
in the database review.”
“We did already evaluate the "quality of the
product" in the database report.”

“It asks different questions than the
database review form.”
“The questions were focused on usability
of the interface not on the content and
cost of the database.”

“The database review asks for need for
instruction and access to help, which are also “I think some of these questions are worth
asking but they could be asked more
covered in the heuristic review, although in
effectively and efficiently.”
different ways.”
RESULTS- SATISFACTION SURVEYS
Overall, did you find the Database Usability Heuristic Review easy to
use? Why or why not?
Yes
No
Total

Response
8
0

%
100%
0%

8

100%

“The content was easy to use, but the
formatting was not. The redundant use of the
likert scale over and over had the effect of
making it hard to read. The short answer
questions part also became difficult to
navigate after 4 or 5 of the questions had been
answered.”
“Some of the requested actions are not very
well described so I was not sure how to answer
the questions.”

“The form itself was easy to use, the
instructions did not match the work do be
done on the form.”

“Overall, yes. Some of the statements
were more challenging to evaluate than
others, however. The "common
platform standards" line stood out to
me in particular. Many of us may not be
aware of such standards...?”
RESULTS- SATISFACTION SURVEYS
Overall, did you feel that the Database Usability Heuristic Review
should be done as part of the database reviews every year? Why or
why not?
Response
%
Yes
No

2
6

25%
75%

Total

8

100%

“It could be done yearly for databases
that are not on large platforms”

“Not sure if this exact form/process is the most
effective way, but something like it - yes.”

“It did not add to the decision making process.
One or 2 questions from this added to the
regular review might be good.”
“A heuristic review is likely to be more helpful
when there is a new interface. Otherwise
we've all long since learned to overlook, or
adapt to any quirks of a given database
interface.”

It would be useful in the case of a
database that is really difficult to use or
inappropriate for the intended audience,
otherwise, not so much.
“I think some of these questions are worth
asking but they could be asked more
effectively and efficiently.”
RESULTS- HEURISTIC REVIEWS
Proquest Statistical Insight (1)
Visibility of
System
Status
6

Help Users
Recognize, D
iagnose and
Recover…

Match
between the
5
System and
the Real…

5
4
3

Proquest Statistical Insight (2)

Help Users
Recognize,
Diagnose
and…

5
4
3

Match
between
the System
and the…

2

1.66667 2
1 0

Aesthetic
and
6
Minimalist
Design

Visibility of
System
Status
6

Consistancy
5.5 and
Standards

0

Aesthetic
and
Minimalist
Design

1

Consistanc
y and
Standards

0

2
3
Flexibility
and Ease of
Use

Error
Prevention
Recognition
Not Recall
Proquest Statistical Insight
(1)

Flexibility
and Ease of
Use

Error
Prevention
Recognitio
n Not
Recall
Proquest Statistical Insight
(2)
RESULTS- HEURISTIC REVIEWS
USA Trade Online

Help
Users
Recogn
ize, Dia
gnos…

Visibilit
y of
System
Status
6
5
4
3

SRDS Media Solutions

Help Users
Recognize,
Diagnose
and…

Match
betwee
n the
System
and…
Consist
ancy
and
Standa
rds

1

0

Flexibili
ty and
Ease of
Use

Error
Preven
tion
Recogn
ition
USA Trade Online
Not
Recall

5
4
3

Match
between
the System
and the…

2

2
Aesthe
tic and
Minim
alist
Design

Visibility of
System
Status
6

Aesthetic
and
Minimalist
Design

1

0

Flexibility
and Ease of
Use

Consistanc
y and
Standards

Error
Prevention
Recognitio
n Not
Recall
SRDS Media Solutions
LESSONS
• Communication is key.
• Busy work vs. deeper dive vs. path of
least resistance.
• Be aware of project deadlines versus
real deadlines.
• Heuristic reviews might work better
as a tool than a requirement.
OPPORTUNITIES
• New ways to visualize usability
• Recording of errors- 37 heuristic reviews
• Could be useful as a jumping off point of
discussing usability across products
• What’s the lowest an interface can get on
DUHR before it’s too low?
• New possibilities for expert feedback
FUTURE DIRECTIONS
• Look into implementation into new
database acquisition, database
renewals, borderline cases
• Communicate findings to
stakeholders
• Hold workshops and trainings on
heuristic reviews for collection
development
THANK YOU!

More Related Content

Similar to Incorporating Usability Into the Database Review Process: New Lessons and Possibilities" Charleston Conference Presentation 2013 Saturday

Establishing best practices to improve usefulness and usability of web interf...
Establishing best practices to improve usefulness and usability of web interf...Establishing best practices to improve usefulness and usability of web interf...
Establishing best practices to improve usefulness and usability of web interf...
DRIscience
 
Database Web Application Usability Testing
Database Web Application Usability TestingDatabase Web Application Usability Testing
Database Web Application Usability Testing
Tim Broadwater
 
UX Research on the Harvard IQSS Data Science website
UX Research on the Harvard IQSS Data Science websiteUX Research on the Harvard IQSS Data Science website
UX Research on the Harvard IQSS Data Science website
Yeseul Song
 
User Experience as an Organizational Development Tool
User Experience as an Organizational Development ToolUser Experience as an Organizational Development Tool
User Experience as an Organizational Development Tool
Donovan Chandler
 
Usability and its use for Academic Libraries
Usability and its use for Academic LibrariesUsability and its use for Academic Libraries
Usability and its use for Academic Libraries
dfordishes
 
Thesis Presentation
Thesis PresentationThesis Presentation
Thesis Presentation
nirvdrum
 
Beyond "Quality Assurance"
Beyond "Quality Assurance"Beyond "Quality Assurance"
Beyond "Quality Assurance"
Jason Benton
 
Metrics in usability testing and user experiences
Metrics in usability testing and user experiencesMetrics in usability testing and user experiences
Metrics in usability testing and user experiences
Him Chitchat
 
Agility for big data
Agility for big data Agility for big data
Agility for big data
Charlie Cheng
 
Advocating for Usability: When, Why, and How to Improve User Experiences
Advocating for Usability: When, Why, and How to Improve User ExperiencesAdvocating for Usability: When, Why, and How to Improve User Experiences
Advocating for Usability: When, Why, and How to Improve User Experiences
nclatechandtrends
 
Bsa 411 preview full class
Bsa 411 preview full classBsa 411 preview full class
Bsa 411 preview full class
fasthomeworkhelpdotcome
 
4 Common Analytics Reporting Errors to Avoid
4 Common Analytics Reporting Errors to Avoid4 Common Analytics Reporting Errors to Avoid
4 Common Analytics Reporting Errors to Avoid
Senturus
 
Usability Evaluation
Usability EvaluationUsability Evaluation
Usability Evaluation
Saqib Shehzad
 
10 Techniques for Gathering Requirements
10 Techniques for Gathering Requirements10 Techniques for Gathering Requirements
10 Techniques for Gathering Requirements
z-999
 
Dbms fast track 3/3
Dbms fast track 3/3Dbms fast track 3/3
Dbms fast track 3/3
Dr. C.V. Suresh Babu
 
Seminoles United Consolidated Advancement Project
Seminoles United Consolidated Advancement ProjectSeminoles United Consolidated Advancement Project
Seminoles United Consolidated Advancement Project
Wendy Jaccard
 
Advocating for usability: When, why, and how to improve user experiences
Advocating for usability: When, why, and how to improve user experiencesAdvocating for usability: When, why, and how to improve user experiences
Advocating for usability: When, why, and how to improve user experiences
Sarah Joy Arnold
 
Dlf 2012
Dlf 2012Dlf 2012
Dlf 2012
sherriberger
 
Clergy ResponseNet presentation - Deirdre Hainsworth
Clergy ResponseNet presentation - Deirdre HainsworthClergy ResponseNet presentation - Deirdre Hainsworth
Clergy ResponseNet presentation - Deirdre Hainsworth
datatoserve
 
Straight from the user's mouth: Usability testing UNC's LibGuides
Straight from the user's mouth: Usability testing UNC's LibGuidesStraight from the user's mouth: Usability testing UNC's LibGuides
Straight from the user's mouth: Usability testing UNC's LibGuides
Sarah Joy Arnold
 

Similar to Incorporating Usability Into the Database Review Process: New Lessons and Possibilities" Charleston Conference Presentation 2013 Saturday (20)

Establishing best practices to improve usefulness and usability of web interf...
Establishing best practices to improve usefulness and usability of web interf...Establishing best practices to improve usefulness and usability of web interf...
Establishing best practices to improve usefulness and usability of web interf...
 
Database Web Application Usability Testing
Database Web Application Usability TestingDatabase Web Application Usability Testing
Database Web Application Usability Testing
 
UX Research on the Harvard IQSS Data Science website
UX Research on the Harvard IQSS Data Science websiteUX Research on the Harvard IQSS Data Science website
UX Research on the Harvard IQSS Data Science website
 
User Experience as an Organizational Development Tool
User Experience as an Organizational Development ToolUser Experience as an Organizational Development Tool
User Experience as an Organizational Development Tool
 
Usability and its use for Academic Libraries
Usability and its use for Academic LibrariesUsability and its use for Academic Libraries
Usability and its use for Academic Libraries
 
Thesis Presentation
Thesis PresentationThesis Presentation
Thesis Presentation
 
Beyond "Quality Assurance"
Beyond "Quality Assurance"Beyond "Quality Assurance"
Beyond "Quality Assurance"
 
Metrics in usability testing and user experiences
Metrics in usability testing and user experiencesMetrics in usability testing and user experiences
Metrics in usability testing and user experiences
 
Agility for big data
Agility for big data Agility for big data
Agility for big data
 
Advocating for Usability: When, Why, and How to Improve User Experiences
Advocating for Usability: When, Why, and How to Improve User ExperiencesAdvocating for Usability: When, Why, and How to Improve User Experiences
Advocating for Usability: When, Why, and How to Improve User Experiences
 
Bsa 411 preview full class
Bsa 411 preview full classBsa 411 preview full class
Bsa 411 preview full class
 
4 Common Analytics Reporting Errors to Avoid
4 Common Analytics Reporting Errors to Avoid4 Common Analytics Reporting Errors to Avoid
4 Common Analytics Reporting Errors to Avoid
 
Usability Evaluation
Usability EvaluationUsability Evaluation
Usability Evaluation
 
10 Techniques for Gathering Requirements
10 Techniques for Gathering Requirements10 Techniques for Gathering Requirements
10 Techniques for Gathering Requirements
 
Dbms fast track 3/3
Dbms fast track 3/3Dbms fast track 3/3
Dbms fast track 3/3
 
Seminoles United Consolidated Advancement Project
Seminoles United Consolidated Advancement ProjectSeminoles United Consolidated Advancement Project
Seminoles United Consolidated Advancement Project
 
Advocating for usability: When, why, and how to improve user experiences
Advocating for usability: When, why, and how to improve user experiencesAdvocating for usability: When, why, and how to improve user experiences
Advocating for usability: When, why, and how to improve user experiences
 
Dlf 2012
Dlf 2012Dlf 2012
Dlf 2012
 
Clergy ResponseNet presentation - Deirdre Hainsworth
Clergy ResponseNet presentation - Deirdre HainsworthClergy ResponseNet presentation - Deirdre Hainsworth
Clergy ResponseNet presentation - Deirdre Hainsworth
 
Straight from the user's mouth: Usability testing UNC's LibGuides
Straight from the user's mouth: Usability testing UNC's LibGuidesStraight from the user's mouth: Usability testing UNC's LibGuides
Straight from the user's mouth: Usability testing UNC's LibGuides
 

More from Ilana Stonebraker

Charting their path: How Students Experience Using Information in Their Job S...
Charting their path: How Students Experience Using Information in Their Job S...Charting their path: How Students Experience Using Information in Their Job S...
Charting their path: How Students Experience Using Information in Their Job S...
Ilana Stonebraker
 
Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...
Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...
Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...
Ilana Stonebraker
 
Critical Information Literacy and Service-Learning for Management Students
Critical Information Literacy and Service-Learning for Management StudentsCritical Information Literacy and Service-Learning for Management Students
Critical Information Literacy and Service-Learning for Management Students
Ilana Stonebraker
 
Critical information literacy in STEM degrees
Critical information literacy in STEM degreesCritical information literacy in STEM degrees
Critical information literacy in STEM degrees
Ilana Stonebraker
 
Critical Information Literacy in Computer Science/ Career
Critical Information Literacy in Computer Science/ CareerCritical Information Literacy in Computer Science/ Career
Critical Information Literacy in Computer Science/ Career
Ilana Stonebraker
 
Critical Information Literacy in Health
Critical Information Literacy in HealthCritical Information Literacy in Health
Critical Information Literacy in Health
Ilana Stonebraker
 
Liberty and Justice for All: Introduction
Liberty and Justice for All: IntroductionLiberty and Justice for All: Introduction
Liberty and Justice for All: Introduction
Ilana Stonebraker
 
Abe 691 Spring 2016
Abe 691 Spring 2016Abe 691 Spring 2016
Abe 691 Spring 2016
Ilana Stonebraker
 
Abe 691 Estimating Markets
Abe 691 Estimating MarketsAbe 691 Estimating Markets
Abe 691 Estimating Markets
Ilana Stonebraker
 
2015 Parrish library case competition
2015 Parrish library case competition2015 Parrish library case competition
2015 Parrish library case competition
Ilana Stonebraker
 
2015 callout powerpoint
2015 callout powerpoint2015 callout powerpoint
2015 callout powerpoint
Ilana Stonebraker
 
30-60-90 Day Plan for Lifelong Learning
30-60-90 Day Plan for Lifelong Learning30-60-90 Day Plan for Lifelong Learning
30-60-90 Day Plan for Lifelong Learning
Ilana Stonebraker
 
CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)
CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)
CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)
Ilana Stonebraker
 
Improving Instruction: Metaliteracy Through Crowdsourcing in the Classroom
Improving Instruction: Metaliteracy Through Crowdsourcing in the ClassroomImproving Instruction: Metaliteracy Through Crowdsourcing in the Classroom
Improving Instruction: Metaliteracy Through Crowdsourcing in the Classroom
Ilana Stonebraker
 
CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)
CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)
CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)
Ilana Stonebraker
 
Flipping Information Literacy: Instruction and Scalability
Flipping Information Literacy: Instruction and ScalabilityFlipping Information Literacy: Instruction and Scalability
Flipping Information Literacy: Instruction and Scalability
Ilana Stonebraker
 
Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...
Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...
Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...
Ilana Stonebraker
 
EBV 2013 second presentation
EBV 2013 second presentationEBV 2013 second presentation
EBV 2013 second presentation
Ilana Stonebraker
 
Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...
Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...
Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...
Ilana Stonebraker
 
Mgmt 484
Mgmt 484Mgmt 484

More from Ilana Stonebraker (20)

Charting their path: How Students Experience Using Information in Their Job S...
Charting their path: How Students Experience Using Information in Their Job S...Charting their path: How Students Experience Using Information in Their Job S...
Charting their path: How Students Experience Using Information in Their Job S...
 
Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...
Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...
Waal 2018: All Hands on Deck: Social Justice, Empathy in the Age of Informati...
 
Critical Information Literacy and Service-Learning for Management Students
Critical Information Literacy and Service-Learning for Management StudentsCritical Information Literacy and Service-Learning for Management Students
Critical Information Literacy and Service-Learning for Management Students
 
Critical information literacy in STEM degrees
Critical information literacy in STEM degreesCritical information literacy in STEM degrees
Critical information literacy in STEM degrees
 
Critical Information Literacy in Computer Science/ Career
Critical Information Literacy in Computer Science/ CareerCritical Information Literacy in Computer Science/ Career
Critical Information Literacy in Computer Science/ Career
 
Critical Information Literacy in Health
Critical Information Literacy in HealthCritical Information Literacy in Health
Critical Information Literacy in Health
 
Liberty and Justice for All: Introduction
Liberty and Justice for All: IntroductionLiberty and Justice for All: Introduction
Liberty and Justice for All: Introduction
 
Abe 691 Spring 2016
Abe 691 Spring 2016Abe 691 Spring 2016
Abe 691 Spring 2016
 
Abe 691 Estimating Markets
Abe 691 Estimating MarketsAbe 691 Estimating Markets
Abe 691 Estimating Markets
 
2015 Parrish library case competition
2015 Parrish library case competition2015 Parrish library case competition
2015 Parrish library case competition
 
2015 callout powerpoint
2015 callout powerpoint2015 callout powerpoint
2015 callout powerpoint
 
30-60-90 Day Plan for Lifelong Learning
30-60-90 Day Plan for Lifelong Learning30-60-90 Day Plan for Lifelong Learning
30-60-90 Day Plan for Lifelong Learning
 
CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)
CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)
CrowdAsk- A Crowdsourcing Reference System (Internet Librarian 2014)
 
Improving Instruction: Metaliteracy Through Crowdsourcing in the Classroom
Improving Instruction: Metaliteracy Through Crowdsourcing in the ClassroomImproving Instruction: Metaliteracy Through Crowdsourcing in the Classroom
Improving Instruction: Metaliteracy Through Crowdsourcing in the Classroom
 
CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)
CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)
CrowdAsk (LITA HoLT Lightning Talks, ALA Annual 2014)
 
Flipping Information Literacy: Instruction and Scalability
Flipping Information Literacy: Instruction and ScalabilityFlipping Information Literacy: Instruction and Scalability
Flipping Information Literacy: Instruction and Scalability
 
Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...
Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...
Letting Gogh of the Traditional Lecture and Lab: Flipping Business Informatio...
 
EBV 2013 second presentation
EBV 2013 second presentationEBV 2013 second presentation
EBV 2013 second presentation
 
Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...
Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...
Scaling Up: Hybrid Instruction (Internet Librarian International October 16 2...
 
Mgmt 484
Mgmt 484Mgmt 484
Mgmt 484
 

Recently uploaded

Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
Project Management Semester Long Project - Acuity
Project Management Semester Long Project - AcuityProject Management Semester Long Project - Acuity
Project Management Semester Long Project - Acuity
jpupo2018
 
Webinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data WarehouseWebinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data Warehouse
Federico Razzoli
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Hiroshi SHIBATA
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
DanBrown980551
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
UI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentationUI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentation
Wouter Lemaire
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 

Recently uploaded (20)

Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
Project Management Semester Long Project - Acuity
Project Management Semester Long Project - AcuityProject Management Semester Long Project - Acuity
Project Management Semester Long Project - Acuity
 
Webinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data WarehouseWebinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data Warehouse
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
UI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentationUI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentation
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 

Incorporating Usability Into the Database Review Process: New Lessons and Possibilities" Charleston Conference Presentation 2013 Saturday

  • 1. INCORPORATING USABILITY INTO THE DATABASE REVIEW PROCESS:: NEW LESSONS AND POSSIBILITIES Ilana Barnes New Lessons and Opportunities @librarianilana Business Information Specialist Assistant Professor of Library Science Purdue Libraries
  • 2. OUTLINE Problem Statement The Project Results • Satisfaction Survey • Heuristic Reviews Lessons, Opportunities Future Directions
  • 3.
  • 4.
  • 5. PROBLEM STATEMENT How can we better record usability errors in vendor products to communicate those findings back to vendors and more formally incorporate usability into our collection assessments?
  • 6. THE PROJECT Database Reviews 2013 • Yearly (Summer project) on a three year rotation • ~ 100 databases reviewed each year (300 total) • Each subject librarian reviews 1-8 databases • Usage, audience, content, cost per use • Certain information needed for discontinue decision
  • 7.
  • 8. THE PROJECT Database Usability Heuristic Form • Instructions to orient researching usability • 8 sections with 1-4 likert questions and room for comment at the end • Required for all database reviews by Associate Dean Satisfaction Survey- how they liked the process, the form, etc. IRB-approved, Administration-backed
  • 10. DATABASE USABILITY HEURISTIC REVIEW Libraries and Usability Tests • Websites • Vendor Databases • Vendor Discovery Layers
  • 11. Does the incorporation of heuristic reviews affect the database review process? • Is it redundant with other parts of the database evaluation process? • Is it perceived as valuable?
  • 12. DATABASE USABILITY HEURISTIC REVIEW 37 databases 8 librarians
  • 13. RESULTS- SATISFACTION SURVEYS Overall, how much impact did the Database Usability Heuristic Review have on your final selection decision? No Impact Some Impact Highly Impact Total Response 7 1 0 % 88% 13% 0% 8 100% “Usability is seldom a determining factor. We might complain to the vendor or ask for changes for usability but unless a database is completely unusable, I don't think it would affect retention.” “I completed the database review form prior to the heuristic review so felt that I had sufficient information to make a decision.” “The database that I am reviewing is core to the research done in a department. The current product is well designed. I didn't need the heuristic review to realize that.” “The deciding factor is the importance of the content. The interface has zero influence on the decision to keep these databases.”
  • 14. RESULTS- SATISFACTION SURVEYS Overall, did you find the Database Usability Heuristic Review redundant with other parts of the database review form? Why or why not? Response % Yes No 4 4 50% 50% Total 8 100% “We already have to consider whether and how users are learning the database in the database review.” “We did already evaluate the "quality of the product" in the database report.” “It asks different questions than the database review form.” “The questions were focused on usability of the interface not on the content and cost of the database.” “The database review asks for need for instruction and access to help, which are also “I think some of these questions are worth asking but they could be asked more covered in the heuristic review, although in effectively and efficiently.” different ways.”
  • 15. RESULTS- SATISFACTION SURVEYS Overall, did you find the Database Usability Heuristic Review easy to use? Why or why not? Yes No Total Response 8 0 % 100% 0% 8 100% “The content was easy to use, but the formatting was not. The redundant use of the likert scale over and over had the effect of making it hard to read. The short answer questions part also became difficult to navigate after 4 or 5 of the questions had been answered.” “Some of the requested actions are not very well described so I was not sure how to answer the questions.” “The form itself was easy to use, the instructions did not match the work do be done on the form.” “Overall, yes. Some of the statements were more challenging to evaluate than others, however. The "common platform standards" line stood out to me in particular. Many of us may not be aware of such standards...?”
  • 16. RESULTS- SATISFACTION SURVEYS Overall, did you feel that the Database Usability Heuristic Review should be done as part of the database reviews every year? Why or why not? Response % Yes No 2 6 25% 75% Total 8 100% “It could be done yearly for databases that are not on large platforms” “Not sure if this exact form/process is the most effective way, but something like it - yes.” “It did not add to the decision making process. One or 2 questions from this added to the regular review might be good.” “A heuristic review is likely to be more helpful when there is a new interface. Otherwise we've all long since learned to overlook, or adapt to any quirks of a given database interface.” It would be useful in the case of a database that is really difficult to use or inappropriate for the intended audience, otherwise, not so much. “I think some of these questions are worth asking but they could be asked more effectively and efficiently.”
  • 17. RESULTS- HEURISTIC REVIEWS Proquest Statistical Insight (1) Visibility of System Status 6 Help Users Recognize, D iagnose and Recover… Match between the 5 System and the Real… 5 4 3 Proquest Statistical Insight (2) Help Users Recognize, Diagnose and… 5 4 3 Match between the System and the… 2 1.66667 2 1 0 Aesthetic and 6 Minimalist Design Visibility of System Status 6 Consistancy 5.5 and Standards 0 Aesthetic and Minimalist Design 1 Consistanc y and Standards 0 2 3 Flexibility and Ease of Use Error Prevention Recognition Not Recall Proquest Statistical Insight (1) Flexibility and Ease of Use Error Prevention Recognitio n Not Recall Proquest Statistical Insight (2)
  • 18. RESULTS- HEURISTIC REVIEWS USA Trade Online Help Users Recogn ize, Dia gnos… Visibilit y of System Status 6 5 4 3 SRDS Media Solutions Help Users Recognize, Diagnose and… Match betwee n the System and… Consist ancy and Standa rds 1 0 Flexibili ty and Ease of Use Error Preven tion Recogn ition USA Trade Online Not Recall 5 4 3 Match between the System and the… 2 2 Aesthe tic and Minim alist Design Visibility of System Status 6 Aesthetic and Minimalist Design 1 0 Flexibility and Ease of Use Consistanc y and Standards Error Prevention Recognitio n Not Recall SRDS Media Solutions
  • 19. LESSONS • Communication is key. • Busy work vs. deeper dive vs. path of least resistance. • Be aware of project deadlines versus real deadlines. • Heuristic reviews might work better as a tool than a requirement.
  • 20. OPPORTUNITIES • New ways to visualize usability • Recording of errors- 37 heuristic reviews • Could be useful as a jumping off point of discussing usability across products • What’s the lowest an interface can get on DUHR before it’s too low? • New possibilities for expert feedback
  • 21. FUTURE DIRECTIONS • Look into implementation into new database acquisition, database renewals, borderline cases • Communicate findings to stakeholders • Hold workshops and trainings on heuristic reviews for collection development

Editor's Notes

  1. In theory every review of database should account for the full user experience of the product. And by user experience, I don’t only mean end user. I mean the total experience a user or an institution has with a product, which contains many different aspects.There are many factors affect someone’s user experience of an online resource. How credible it is for instance. The cost of the product, how much it is valued by the department. And of course how usable that product is. We have had many different ways of finding out how usabile something it.
  2. In the past, we’ve used usage statistics, our impressions of a database, and the user feedback to determine how usable a product way, but we’ve never had a real process for how we decide how usable something it. Often we know that these errors exist, but lack a concret way of getting this information back to database providers, who need that feedback, but we don’t need user feedback to find these errors. They are obvious to us whenever we use the product. We need a method that we can incorporate into our existing system
  3. This project used a method existing in user experience research that might be useful in recording usability errors when evaluating the process.
  4. From Beth Associate Deans