Interac(ve Form: Inspec(on methods. Eva Ragnemalm, IDA

Size: px
Start display at page:

Download "Interac(ve Form: Inspec(on methods. Eva Ragnemalm, IDA"

Transcription

1 Interac(ve Form: Inspec(on methods Eva Ragnemalm, IDA

2 2 Interac(ve form 1 Select an informa2on kiosk or machine Describe it s purpose, content and form Perform a cogni(ve walkthrough describe the result in wrieen report and oral presenta2on

3 3 Interac(ve form 2 Select a web-based map service Perform an analysis of it s quali2es in use (according to lecture 3) and describe the result Perform a heuris(c evalua(on and describe the result WriEen report and oral presenta2on

4 4 Goals of usability evalua(on Are we evalua2ng in order to improve the design? Forma2ve evalua2on Focus on describing problems and sugges2ng improvements Are we evalua2ng in order to determine if the prototype/ system fulfills the customer s requirements and can be delivered? Summa2ve evalua2on Focus on measuring proper2es that appear in the requirements

5 5 Type of evalua(on Inspec2on no user involved, employ usability experts User tes2ng set users to interact with the ar2fact or some representa2on of it (prototype) and study Both can be used forma2vely and summa2vely

6 6 When to use what? Applicable tes2ng method vs system representa2on Forma2ve Forma2ve Forma2ve Summa2ve (Forma2ve) Sketches, scenarios, storyboards Paper prototypes Computer prototypes Working system User tes2ng User tes2ng User tes2ng Inspec2on methods Inspec2on methods Inspec2on methods Inspec2on methods

7 7 Inspec(on methods Cogni2ve walkthrough Heuris2c Evalua2on Pluralis2c usability walkthrough (uses users) Ac2on Analysis

8 8 Cogni(ve walkthrough Originally designed for walk-up-and-use systems (such as informa2on kiosks, teller machines etc). Based on the idea that the user has a goal, looks for an ac2on that appears to lead toward that goal, performs the ac2on and evaluates if the result did bring him/her closer to that goal (repeats un2l goal is achieved). Proposed 1990 (C. Lewis, P. Polson, C. Wharton and J. Rieman) revised and extended into several versions Done in a group (developers), or informally, alone.

9 9 Cogni(ve walkthrough method Prepara2ons: Who are the users (what is familiar to them? What do they expect?) Detailed descrip2on of the task (or tasks) to focus List of the correct sequence of ac2ons the task requires For each step in the sequence of ac2ons, analyse if the user is going to find and execute that correct step (and understand that it was correct). tell a believable story (check to see it is believable) if no believable story is found, you have a problem in the design.

10 10 For each step in the correct sequence of ac(ons, tell the story and ask: Will the user be trying to achieve the effect of the step? Will the user no2ce the control (bueon/ac2on/...) is available? If the user no2ces the control, will they understand that it will lead to the desired effect? If the right ac2on is performed, will the user understand that progress is made toward the goal? For any ques2on that is answered in the nega2ve, focus on why not.

11 11

12 12 Result of cogni(ve walkthrough Unbelievable story, doubeul assump2on or ques2on answered in nega2ve indicate problems. List or problems at specified steps in the sequence. The why should provide clues to how to solve it. Examine the assump2ons underlying the story told. Having several experts in a group makes finding assump2ons easier.

13 13 Important Don t combine the finding of the correct sequence of ac2ons into the walkthrough itself! If the walkthrough shows at some step the user won t find the correct ac2on, you drop that problem there and con2nue to the next step as if the previous step had been correct. You are not a user! You may not find everything, and you may find things the user does not find problema2c.

14 14 For Interac(ve Form 1: Decide on a target to inspect. Determine your users, describe them. Select and describe (in detail) the task/tasks you re looking at. Then divide into pairs or triads, perform the analysis (using the ques2ons listed) separately Combine your results for the group report

15 15 Heuris(c Evalua(on Developed by Jacob Nielsen and Rolf Molich 1990 Discount usability engineering Experts are presented with an interface design and inspect it. Requires aggrega2ng the results from 3 to 5 experts Based on Heuris2cs - guidelines or rules of thumb for how to design interac2ve systems

16 16 Heuris(c evalua(on method Select set of heuris2cs to use The usability experts receives the representa2on of the system (prototype/specifica2on/scenario...) Expert explores system to become familiar Expert systema2cally checks system against heuris2cs and notes discrepancies and problems Collect and analyse data

17 17 Nielsen s 10 usability heuris(cs 1. Simple and natural dialogue 2. Speak the user s language 3. Minimize memory load 4. Consistency and standards 5. Provide feedback 6. Provide clear exits 7. Efficiency and shortcuts 8. Good error messages 9. Prevent errors 10.Provide help and documenta2on

18 18 Result: uncovered poten(al problems Situa2ons where the system does not follow the principles ex: loading of screen 3 might take 2me, give feedback to show work is progressing ex: screen 5 is labeled Wri2ng while the associated menu item is called prin2ng. Best results if experts are familiar with the domain as well as the principles. Note 1: all iden2fied problems are not perceived as problems by a user Note 2: The experts will not uncover all problems

19 19 Collec(ng and analysing data Not just number of errors or number of experts finding it Grade problems on: Frequency (how open will the problem occur?) Effect (how difficult is it for the user to cope with) Persistency (is it only a problem the first 2me or every 2me) Degree of seriousness (summa2ve/forma2ve) 0: It is not a problem even though the heuris2c is not followed 1 :cosme2c problem, not necessary to adress unless available 2me 2: lesser problem, low priorty 3: bigger problem, high priority 4:usability catastrophe, must be adressed before release

20 20 How many evaluators to employ?

21 21 Number of evaluators

22 22 Who should do the inspec(on? Heuris2c Evalua2on literature: don t evaluate your own design You already know everything about your own design. If you knew the principles you followed them and if you didn t know them you are not an expert. Cogni2ve walkthrough literature: you can do your own CW keep in mind the goal is to develop your design, not validate: focus on finding things to improve.

23 23 For Interac(ve Form 2 Number of experts=number of group members To become experts: go through the heuris2cs, discuss in groups how to interpret. Agree on what part of the system you are inspec2ng (exactly what screens and what sequence) When inspec2ng: for each screen (and each transi2on between screens) go through all the principles, write down problems (refer to the screen and the principle) Aggregate the problems found and grade

24 24 Research project: Heuris(c evalua(on of persuasive capacity of solware Design of persuasive systems (behaviour-change systems) help people exercise more, eat healthier, stop smoking etc Guidelines for persuasive systems developed by BJ Fogg (2005) ex: be trustworthy, correct, 2mely, provide sugges2ons, assess the user s behaviour, make it easy to do the right thing... Educa2onal systems that people do learn from must be persuasive! Then: Is a game persuasive? A computer tool like Word? Yes, some are!

25 Ques2ons?

User Interface Evaluation

User Interface Evaluation User Interface Evaluation Heuristic Evaluation Lecture #17 Agenda Evaluation through Expert Analysis Cognitive walkthrough Heuristic evaluation Model-based evaluation Cognitive dimension of notations 2

More information

SFU CMPT week 11

SFU CMPT week 11 SFU CMPT-363 2004-2 week 11 Manuel Zahariev E-mail: manuelz@cs.sfu.ca Based on course material from Arthur Kirkpatrick, Alissa Antle and Paul Hibbits July 21, 2004 1 Analytic Methods Advantages can be

More information

Usability Tes2ng Usability and Correctness. About Face (1995) Alan Cooper. About Face (1995) Alan Cooper. Why Evaluate?

Usability Tes2ng Usability and Correctness. About Face (1995) Alan Cooper. About Face (1995) Alan Cooper. Why Evaluate? 2 Usability and Correctness Usability How easy is the system to use? How learnable is the system? Correctness Does the system do what it says it will do? Usability and correctness are two different criteria.

More information

UX & Usability Strategies and Website Assessments. Candice Kail, Web Services Librarian

UX & Usability Strategies and Website Assessments. Candice Kail, Web Services Librarian UX & Usability Strategies and Website Assessments Candice Kail, Web Services Librarian Usage Data We have been collec9ng Google Analy9cs Data since we migrated our content to our current Web CMS, AEM/CQ,

More information

User Interface Evaluation

User Interface Evaluation User Interface Evaluation Cognitive Walkthrough Lecture #16 Agenda Evaluation through Expert Analysis Cognitive walkthrough Heuristic evaluation Model-based evaluation Cognitive dimension of notations

More information

Interaction Design. Heuristic Evaluation & Cognitive Walkthrough

Interaction Design. Heuristic Evaluation & Cognitive Walkthrough Interaction Design Heuristic Evaluation & Cognitive Walkthrough Interaction Design Iterative user centered design and development Requirements gathering Quick design Build prototype Evaluate and refine

More information

HCI and Design SPRING 2016

HCI and Design SPRING 2016 HCI and Design SPRING 2016 Topics for today Heuristic Evaluation 10 usability heuristics How to do heuristic evaluation Project planning and proposals Usability Testing Formal usability testing in a lab

More information

CS 315 Intro to Human Computer Interac4on (HCI)

CS 315 Intro to Human Computer Interac4on (HCI) 1 CS 315 Intro to Human Computer Interac4on (HCI) 2 HCI So what is it? 3 4 Hall of Fame or Shame? Page setup in IE5 (example courtesy of James Landay) 5 Hall of Shame! Page setup in IE5 Page preview nice,

More information

HEURISTIC EVALUATION WHY AND HOW

HEURISTIC EVALUATION WHY AND HOW HEURISTIC EVALUATION WHY AND HOW REF: Scott Klemmer Jacob Nielsen James Landay HEURISTIC EVALUATION Multiple ways to evaluate Empirical: Assess with real users trying s/w Formal: Models and formulas to

More information

CS 160: Evaluation. Outline. Outline. Iterative Design. Preparing for a User Test. User Test

CS 160: Evaluation. Outline. Outline. Iterative Design. Preparing for a User Test. User Test CS 160: Evaluation Professor John Canny Spring 2006 2/15/2006 1 2/15/2006 2 Iterative Design Prototype low-fi paper, DENIM Design task analysis contextual inquiry scenarios sketching 2/15/2006 3 Evaluate

More information

Usability. HCI - Human Computer Interaction

Usability. HCI - Human Computer Interaction Usability HCI - Human Computer Interaction Computer systems optimization for easy access and communication Definition design Basic principles Testing assessment implementation Quality Utility funcionality

More information

Human Factors in Anonymous Mobile Communications

Human Factors in Anonymous Mobile Communications Human Factors in Anonymous Mobile Communications Svenja Schröder Research Group, University of Vienna Talk at the PhD School at the Android Security Symposium, September 9 th, 2015 in Vienna Svenja Schröder,

More information

Assignment 5 is posted! Heuristic evaluation and AB testing. Heuristic Evaluation. Thursday: AB Testing

Assignment 5 is posted! Heuristic evaluation and AB testing. Heuristic Evaluation. Thursday: AB Testing HCI and Design Topics for today Assignment 5 is posted! Heuristic evaluation and AB testing Today: Heuristic Evaluation Thursday: AB Testing Formal Usability Testing Formal usability testing in a lab:

More information

CS 160: Evaluation. Professor John Canny Spring /15/2006 1

CS 160: Evaluation. Professor John Canny Spring /15/2006 1 CS 160: Evaluation Professor John Canny Spring 2006 2/15/2006 1 Outline User testing process Severity and Cost ratings Discount usability methods Heuristic evaluation HE vs. user testing 2/15/2006 2 Outline

More information

Cognitive Walkthrough

Cognitive Walkthrough 1 Cognitive Walkthrough C. Wharton, J. Rieman, C. Lewis and P. Polson, The Cognitive Walkthrough Method: A Practitioner s Guide, in J. Nielsen and R. Mack (eds.), Usability Inspection Methods, John Wiley

More information

A formal design process, part 2

A formal design process, part 2 Principles of So3ware Construc9on: Objects, Design, and Concurrency Designing (sub-) systems A formal design process, part 2 Josh Bloch Charlie Garrod School of Computer Science 1 Administrivia Midterm

More information

Heuristic Evaluation. Hall of Fame or Shame? Hall of Fame or Shame? Hall of Fame! Heuristic Evaluation

Heuristic Evaluation. Hall of Fame or Shame? Hall of Fame or Shame? Hall of Fame! Heuristic Evaluation 1 USER INTERFACE DESIGN + PROTOTYPING + EVALUATION Hall of Fame or Shame? Heuristic Evaluation Prof. James A. Landay University of Washington Pocket By Read It Later 11/1/2012 2 Hall of Fame or Shame?

More information

UI Evaluation: Cognitive Walkthrough. CS-E5220 User Interface Construction

UI Evaluation: Cognitive Walkthrough. CS-E5220 User Interface Construction UI Evaluation: Cognitive Walkthrough CS-E5220 User Interface Construction Usability Testing With users Usability test Without users Heuristic evaluation Cognitive walkthrough Nielsen s Ten Heuristic Rules

More information

USER INTERFACE DESIGN + PROTOTYPING + EVALUATION. Heuristic Evaluation. Prof. James A. Landay University of Washington CSE 440

USER INTERFACE DESIGN + PROTOTYPING + EVALUATION. Heuristic Evaluation. Prof. James A. Landay University of Washington CSE 440 USER INTERFACE DESIGN + PROTOTYPING + EVALUATION Heuristic Evaluation Prof. James A. Landay University of Washington CSE 440 February 19, 2013 Hall of Fame or Shame? Pocket By Read It Later Jan. 14-18,

More information

CSc 120. Introduc/on to Computer Programming II. 02: Problem Decomposi1on and Program Development. Adapted from slides by Dr.

CSc 120. Introduc/on to Computer Programming II. 02: Problem Decomposi1on and Program Development. Adapted from slides by Dr. CSc 120 Introduc/on to Computer Programming II Adapted from slides by Dr. Saumya Debray 02: Problem Decomposi1on and Program Development A common student lament "I have this big programming assignment.

More information

Evaluating and Improving Software Usability

Evaluating and Improving Software Usability Evaluating and Improving Software Usability 902 : Thursday, 9:30am - 10:45am Philip Lew www.xbosoft.com Understand, Evaluate and Improve 2 Agenda Introduc7on Importance of usability What is usability?

More information

CO328- Human Computer Interaction Michael Kölling Caroline Li. Heuristic Evaluation

CO328- Human Computer Interaction Michael Kölling Caroline Li. Heuristic Evaluation CO328- Human Computer Interaction Michael Kölling Caroline Li Heuristic Evaluation Signage: What does this tells you? - History, what went earlier there before - Tells you more about a problematic situation

More information

Overview of Today s Lecture. Analytical Evaluation / Usability Testing. ex: find a book at Amazon.ca via search

Overview of Today s Lecture. Analytical Evaluation / Usability Testing. ex: find a book at Amazon.ca via search Overview of Today s Lecture Analytical Evaluation / Usability Testing November 17, 2017 Analytical Evaluation Inspections Recapping cognitive walkthrough Heuristic evaluation Performance modelling 1 2

More information

Cognitive Walkthrough

Cognitive Walkthrough 1 1 Cognitive Walkthrough C. Wharton, J. Rieman, C. Lewis and P. Polson, The Cognitive Walkthrough Method: A Practitioner s Guide, in J. Nielsen and R. Mack (eds.), Usability Inspection Methods, John Wiley

More information

CISC327 - So*ware Quality Assurance

CISC327 - So*ware Quality Assurance CISC327 - So*ware Quality Assurance Lecture 8 Introduc

More information

Assistant Professor Computer Science. Introduction to Human-Computer Interaction

Assistant Professor Computer Science. Introduction to Human-Computer Interaction CMSC434 Introduction to Human-Computer Interaction Week 12 Lecture 24 Nov 21, 2013 Intro to Evaluation Human Computer Interaction Laboratory @jonfroehlich Assistant Professor Computer Science Hall of Fame

More information

Chapter 15: Analytical evaluation

Chapter 15: Analytical evaluation Chapter 15: Analytical evaluation Aims: Describe inspection methods. Show how heuristic evaluation can be adapted to evaluate different products. Explain how to do doing heuristic evaluation and walkthroughs.

More information

Net.info. A proposal for making network service informa6on easily available. Steven Bauer Slides from 2010 MIT

Net.info. A proposal for making network service informa6on easily available. Steven Bauer Slides from 2010 MIT Net.info A proposal for making network service informa6on easily available Steven Bauer Slides from 2010 MIT Problem No easy way to iden6fy network service informa6on Ini6al mo6va6on is to make very basic

More information

cs465 principles of user interface design, implementation and evaluation

cs465 principles of user interface design, implementation and evaluation cs465 principles of user interface design, implementation and evaluation Karrie G. Karahalios 24. September 2008 1. Heuristic Evaluation 2. Cognitive Walkthrough 3. Discuss Homework 3 4. Discuss Projects

More information

Analytical Evaluation

Analytical Evaluation Analytical Evaluation November 7, 2016 1 Questions? 2 Overview of Today s Lecture Analytical Evaluation Inspections Performance modelling 3 Analytical Evaluations Evaluations without involving users 4

More information

Übung zur Vorlesung Mensch-Maschine-Interaktion. e5: Heuristic Evaluation

Übung zur Vorlesung Mensch-Maschine-Interaktion. e5: Heuristic Evaluation Übung zur Vorlesung Mensch-Maschine-Interaktion e5: Heuristic Evaluation Sara Streng Ludwig-Maximilians-Universität München Wintersemester 2007/2008 Ludwig-Maximilians-Universität München Sara Streng Übung

More information

NPTEL Computer Science and Engineering Human-Computer Interaction

NPTEL Computer Science and Engineering Human-Computer Interaction M4 L5 Heuristic Evaluation Objective: To understand the process of Heuristic Evaluation.. To employ the ten principles for evaluating an interface. Introduction: Heuristics evaluation is s systematic process

More information

Heuristic Evaluation! Hall of Fame or Shame?! Hall of Fame or Shame?! Hall of Fame or Shame?! Hall of Fame!!

Heuristic Evaluation! Hall of Fame or Shame?! Hall of Fame or Shame?! Hall of Fame or Shame?! Hall of Fame!! CS 147: HCI+D UI Design, Prototyping, and Evaluation, Autumn 2014 HCI+D: USER INTERFACE DESIGN + PROTOTYPING + EVALUATION Hall of Fame or Shame? Heuristic Evaluation Computer Science Department Autumn

More information

Sri Vidya College of Engineering & Technology Question bank (unit 2) UNIT 2 TWO MARKS

Sri Vidya College of Engineering & Technology Question bank (unit 2) UNIT 2 TWO MARKS UNIT 2 TWO MARKS 1. What is design? Achieving goals within constraints. The design helps to focus on certain things like goals, constraints and tradeoffs Goals purpose (who is it for, why do they want

More information

Analytical evaluation

Analytical evaluation Chapter 15 Analytical evaluation 1 Aims: Describe the key concepts associated with inspection methods. Explain how to do heuristic evaluation and walkthroughs. Explain the role of analytics in evaluation.

More information

Programming Environments

Programming Environments Programming Environments There are several ways of crea/ng a computer program Using an Integrated Development Environment (IDE) Using a text editor You should use the method you are most comfortable with.

More information

Design Heuristics and Evaluation

Design Heuristics and Evaluation Design Heuristics and Evaluation Rapid Evaluation Selected material from The UX Book, Hartson & Pyla Heuristic Evaluation Another method for finding usability problems in a UI design Validation during

More information

UX Research in the Product Lifecycle

UX Research in the Product Lifecycle UX Research in the Product Lifecycle I incorporate how users work into the product early, frequently and iteratively throughout the development lifecycle. This means selecting from a suite of methods and

More information

Best Prac*ces in Accessibility and Universal Design for Learning. Rozy Parlette, Instruc*onal Designer Center for Instruc*on and Research Technology

Best Prac*ces in Accessibility and Universal Design for Learning. Rozy Parlette, Instruc*onal Designer Center for Instruc*on and Research Technology Best Prac*ces in Accessibility and Universal Design for Learning Rozy Parlette, Instruc*onal Designer Center for Instruc*on and Research Technology Purpose The purpose of this session is to iden*fy best

More information

Search Engines. Informa1on Retrieval in Prac1ce. Annota1ons by Michael L. Nelson

Search Engines. Informa1on Retrieval in Prac1ce. Annota1ons by Michael L. Nelson Search Engines Informa1on Retrieval in Prac1ce Annota1ons by Michael L. Nelson All slides Addison Wesley, 2008 Evalua1on Evalua1on is key to building effec$ve and efficient search engines measurement usually

More information

CSE 440: Introduction to HCI User Interface Design, Prototyping, and Evaluation

CSE 440: Introduction to HCI User Interface Design, Prototyping, and Evaluation CSE 440: Introduction to HCI User Interface Design, Prototyping, and Evaluation Lecture 11: Inspection Tuesday / Thursday 12:00 to 1:20 James Fogarty Kailey Chan Dhruv Jain Nigini Oliveira Chris Seeds

More information

Heuristic evaluation is a usability inspection technique developed by Jakob Nielsen. The original set of heuristics was derived empirically from an

Heuristic evaluation is a usability inspection technique developed by Jakob Nielsen. The original set of heuristics was derived empirically from an Heuristic evaluation is a usability inspection technique developed by Jakob Nielsen. The original set of heuristics was derived empirically from an analysis of 249 usability problems (Nielsen, 1994). -Preece

More information

Principles of So3ware Construc9on. A formal design process, part 2

Principles of So3ware Construc9on. A formal design process, part 2 Principles of So3ware Construc9on Design (sub- )systems A formal design process, part 2 Josh Bloch Charlie Garrod School of Computer Science 1 Administrivia Midterm exam Thursday Review session Wednesday,

More information

Evaluating the Design without Users. A formalized way of imagining people s thoughts and actions when they use an interface for the first time

Evaluating the Design without Users. A formalized way of imagining people s thoughts and actions when they use an interface for the first time Evaluating the Design without Users Cognitive Walkthrough Action Analysis Heuristic Evaluation Cognitive walkthrough A formalized way of imagining people s thoughts and actions when they use an interface

More information

Chapter Types of Usability Testing or Usability Inspection

Chapter Types of Usability Testing or Usability Inspection Chapter 10.3 Types of Usability Testing or Usability Inspection User-Based Testing Primary interest: Users and collecting data from users Usability Inspections Main focus of chapter 10.3 Usually performed

More information

Software Quality. Martin Glinz. Thomas Fritz. Lecture 7 UI Design, Usability & Testing. Many thanks to Meghan Allen and Daniel Greenblatt.

Software Quality. Martin Glinz. Thomas Fritz. Lecture 7 UI Design, Usability & Testing. Many thanks to Meghan Allen and Daniel Greenblatt. Institut für Informatik Software Quality Lecture 7 UI Design, Usability & Testing Thomas Fritz Martin Glinz Many thanks to Meghan Allen and Daniel Greenblatt. Overview Introduction to UI design User-centered

More information

Cognitive Walkthrough. Design and User Evaluation of Augmented-Reality Interfaces Jorma Nieminen

Cognitive Walkthrough. Design and User Evaluation of Augmented-Reality Interfaces Jorma Nieminen Cognitive Walkthrough Design and User Evaluation of Augmented-Reality Interfaces Jorma Nieminen Cognitive Walkthrough Outline Modified from the Handbook of Human-Computer Interactions [1] : Define asumed

More information

Informa(cs 231: What is Design? October 9, 2012

Informa(cs 231: What is Design? October 9, 2012 Informa(cs 231: What is Design? October 9, 2012 IDEO s Deep Dive Excellent example of the user- centered design process IDEO s Deep Dive Video Part 1 - hgp://www.youtube.com/watch?v=oon05q030qo Part 2

More information

Expert Reviews (1) Lecture 5-2: Usability Methods II. Usability Inspection Methods. Expert Reviews (2)

Expert Reviews (1) Lecture 5-2: Usability Methods II. Usability Inspection Methods. Expert Reviews (2) : Usability Methods II Heuristic Analysis Heuristics versus Testing Debate Some Common Heuristics Heuristic Evaluation Expert Reviews (1) Nielsen & Molich (1990) CHI Proceedings Based upon empirical article

More information

15/16 CSY2041 Quality and User-Centred Systems

15/16 CSY2041 Quality and User-Centred Systems 15/16 CSY2041 Quality and User-Centred Systems INTERACTION DESIGN 1 Heuristic evaluation and walkthroughs 2 1 Aims: Describe the key concepts associated with inspection methods. Explain how to do heuristic

More information

Expert Evaluations. November 30, 2016

Expert Evaluations. November 30, 2016 Expert Evaluations November 30, 2016 Admin Final assignments High quality expected Slides Presentation delivery Interface (remember, focus is on a high-fidelity UI) Reports Responsive Put your best foot

More information

Faster Splunk App Cer=fica=on with Splunk AppInspect

Faster Splunk App Cer=fica=on with Splunk AppInspect Copyright 2016 Splunk Inc. Faster Splunk App Cer=fica=on with Splunk AppInspect Andy Nortrup Product Manager, Splunk Grigori Melnik Director, Product Management, Splunk Disclaimer During the course of this

More information

Usability Testing CMPT 363. Use testing to guide design, not to grade designers. Jeff Johnson

Usability Testing CMPT 363. Use testing to guide design, not to grade designers. Jeff Johnson Usability Testing CMPT 363 Use testing to guide design, not to grade designers. Jeff Johnson How to plan, conduct, and summarize usability tests? Topics to Explore 1. Tes&ng Methods 2. Conduc&ng Tests

More information

User Experience Report: Heuristic Evaluation

User Experience Report: Heuristic Evaluation User Experience Report: Heuristic Evaluation 1 User Experience Report: Heuristic Evaluation Created by Peter Blair for partial fulfillment of the requirements for MichiganX: UX503x Principles of Designing

More information

CSE 440: Introduction to HCI User Interface Design, Prototyping, and Evaluation

CSE 440: Introduction to HCI User Interface Design, Prototyping, and Evaluation CSE 440: Introduction to HCI User Interface Design, Prototyping, and Evaluation Lecture 12: Inspection-Based Methods James Fogarty Daniel Epstein Brad Jacobson King Xia Tuesday/Thursday 10:30 to 11:50

More information

iscreen Usability INTRODUCTION

iscreen Usability INTRODUCTION INTRODUCTION Context and motivation The College of IST recently installed an interactive kiosk called iscreen, designed to serve as an information resource for student/visitors to the College of IST. The

More information

BCS THE CHARTERED INSTITUTE FOR IT. BCS HIGHER EDUCATION QUALIFICATIONS BCS Level 5 Diploma in IT PRINCIPLES OF USER INTERFACE DESIGN

BCS THE CHARTERED INSTITUTE FOR IT. BCS HIGHER EDUCATION QUALIFICATIONS BCS Level 5 Diploma in IT PRINCIPLES OF USER INTERFACE DESIGN BCS THE CHARTERED INSTITUTE FOR IT BCS HIGHER EDUCATION QUALIFICATIONS BCS Level 5 Diploma in IT PRINCIPLES OF USER INTERFACE DESIGN Monday 19 th March 2018 - Afternoon Answer any FOUR questions out of

More information

Heuristic Evaluation of igetyou

Heuristic Evaluation of igetyou Heuristic Evaluation of igetyou 1. Problem i get you is a social platform for people to share their own, or read and respond to others stories, with the goal of creating more understanding about living

More information

3 Prototyping and Iterative Evaluations

3 Prototyping and Iterative Evaluations 3 Prototyping and Iterative Evaluations Viktoria Pammer-Schindler March 15, 2016 Prototyping and Iterative Evaluations 1 Days and Topics March 1 March 8 March 15 April 12 April 19/21 April 26 (10-13) April

More information

Programmiersprache C++ Winter 2005 Operator overloading (48)

Programmiersprache C++ Winter 2005 Operator overloading (48) Evaluation Methods Different methods When the evaluation is done How the evaluation is done By whom the evaluation is done Programmiersprache C++ Winter 2005 Operator overloading (48) When the evaluation

More information

On the performance of novice evaluators in usability evaluations

On the performance of novice evaluators in usability evaluations On the performance of novice evaluators in usability evaluations Panayiotis Koutsabasis, Thomas Spyrou, Jenny S. Darzentas and John Darzentas University of the Aegean Department of Product and Systems

More information

Gleanings Ch 5, 6, 7. Design Naviga3on Organiza3on and layout

Gleanings Ch 5, 6, 7. Design Naviga3on Organiza3on and layout Gleanings Ch 5, 6, 7 Design Naviga3on Organiza3on and layout Issues in itera3ve design and prototyping Warning about itera3ve design design iner3a early bad decisions stay bad diagnosing real usability

More information

Analytical &! Empirical Evaluation

Analytical &! Empirical Evaluation Analytical &! Empirical Evaluation Informatics 132 5/22/2012 TODAY Evaluation Due: A3 Paper Prototyping UPCOMING Friday: Group Project Time Monday: Memorial Day, No Class Wednesday: HCI in the Real World

More information

Evaluation techniques 1

Evaluation techniques 1 IMS5302 Human-computer interaction Lecture 6 Other Evaluation Techniques Overview Other evaluation methods Expert reviews Field studies Developing scenarios Selecting an evaluation method IMS5302 2 Scenarios

More information

Evaluation techniques 1

Evaluation techniques 1 IMS5302 Human- computer interaction Lecture 6 Other Evaluation Techniques Overview Other evaluation methods Expert reviews Field studies Developing scenarios Selecting an evaluation method IMS5302 2 Scenarios

More information

extreme Design with Content Ontology Design Pa5erns

extreme Design with Content Ontology Design Pa5erns extreme Design with Content Ontology Design Pa5erns Valen7na Presu9 and Eva Blomqvist Lecture 5 @ Corso di Do5orato 2011 Dipar7mento di Scienze dell Informazione Bologna, Italy Method and tool support

More information

Goals of Usability Evaluation

Goals of Usability Evaluation Goals of Usability Evaluation Formative Evaluation: What and how to re-design? Design Construction Summative Evaluation: How well did we do? 1 Formative and Summative Goals Formative: during development,

More information

3 Evaluating Interactive Systems

3 Evaluating Interactive Systems 3 Evaluating Interactive Systems Viktoria Pammer-Schindler March 23, 2015 Evaluate 1 Android Sensing Tutorial Day on April 23 Save the Date!!! Evaluate 2 Days and Topics March 11 March 16 Intro Designing

More information

Welcome to this Clean Sky Info Day on how to become a Partner in Clean Sky 2. This presenta=on will explain how to prepare a proposal and submit it

Welcome to this Clean Sky Info Day on how to become a Partner in Clean Sky 2. This presenta=on will explain how to prepare a proposal and submit it Welcome to this Clean Sky Info Day on how to become a Partner in Clean Sky 2. This presenta=on will explain how to prepare a proposal and submit it via the Par=cipant Portal. 1 To make the submission process

More information

Ensuring Website Accessibility in Australia. Vivienne L. Conway

Ensuring Website Accessibility in Australia. Vivienne L. Conway Ensuring Website Accessibility in Australia Vivienne L. Conway Introduc*on What is website accessibility? Who decides what guidelines we need to address? How do you audit a website to determine its compliance?

More information

Step 1: A few setup items are needed to properly start using SeamLESS EHR with MedicFusion.

Step 1: A few setup items are needed to properly start using SeamLESS EHR with MedicFusion. Step 1: A few setup items are needed to properly start using SeamLESS EHR with MedicFusion. Prerequisites: SeamLESS version 1.3.0.0 R1 or greater esuite version 3.7.4.0 on the worksta;on (3.7.5.0) and

More information

CS5340 Human-Computer Interaction.! February 21, 2013!!

CS5340 Human-Computer Interaction.! February 21, 2013!! CS5340 Human-Computer Interaction February 21, 2013 www.hcibook.com/e3 Today s Class T4 & T5 Design practicalities Evaluation techniques Paper Presentations T4 & T5 Due 6pm Feb 28 T4: Concept Selection

More information

Additional reading for this lecture: Heuristic Evaluation by Jakob Nielsen. Read the first four bulleted articles, starting with How to conduct a

Additional reading for this lecture: Heuristic Evaluation by Jakob Nielsen. Read the first four bulleted articles, starting with How to conduct a Additional reading for this lecture: Heuristic Evaluation by Jakob Nielsen. Read the first four bulleted articles, starting with How to conduct a heuristic evaluation and ending with How to rate severity.

More information

What do you see? Testing 1, 2, 3 An integrated model for evaluating plain language. Neil James, PhD and Susan Kleimann, PhD

What do you see? Testing 1, 2, 3 An integrated model for evaluating plain language. Neil James, PhD and Susan Kleimann, PhD Evalua&ng plain language Dublin September 2015 Clearer language, greater efficiency and effectiveness 17 20 September Testing 1, 2, 3 An integrated model for evaluating plain language Neil James, PhD and

More information

Cognitive Walkthrough. Francesca Rizzo 24 novembre 2004

Cognitive Walkthrough. Francesca Rizzo 24 novembre 2004 Cognitive Walkthrough Francesca Rizzo 24 novembre 2004 The cognitive walkthrough It is a task-based inspection method widely adopted in evaluating user interfaces It requires: A low-fi prototype of the

More information

CS 521/621 Course Overview: Sta5c and Dynamic Analyses

CS 521/621 Course Overview: Sta5c and Dynamic Analyses CS 521/621 Course Overview: Sta5c and Dynamic Analyses Last 5me What did we talk about? Why is it important to study soeware engineering? Just like cars US automobile industry used to be very complacent

More information

Human-Computer Interaction IS4300

Human-Computer Interaction IS4300 Human-Computer Interaction IS4300 1 Quiz 3 1 I5 due next class Your mission in this exercise is to implement a very simple Java painting applet. The applet must support the following functions: Draw curves,

More information

Lecture 10 Usability

Lecture 10 Usability Lecture 10 Usability Mark Woehrer CS 3053 - Human-Computer Interaction Computer Science Department Oklahoma University Spring 2007 [Taken from Stanford CS147 with permission] Learning Goals Understand

More information

Page 1. Ideas to windows. Lecture 7: Prototyping & Evaluation. Levels of prototyping. Progressive refinement

Page 1. Ideas to windows. Lecture 7: Prototyping & Evaluation. Levels of prototyping. Progressive refinement Ideas to windows Lecture 7: Prototyping & Evaluation How do we go from ideas to windows? Prototyping... rapid initial development, sketching & testing many designs to determine the best (few?) to continue

More information

EVALUATION OF PROTOTYPES USABILITY TESTING

EVALUATION OF PROTOTYPES USABILITY TESTING EVALUATION OF PROTOTYPES USABILITY TESTING CPSC 544 FUNDAMENTALS IN DESIGNING INTERACTIVE COMPUTATIONAL TECHNOLOGY FOR PEOPLE (HUMAN COMPUTER INTERACTION) WEEK 9 CLASS 17 Joanna McGrenere and Leila Aflatoony

More information

CS6200 Informa.on Retrieval. David Smith College of Computer and Informa.on Science Northeastern University

CS6200 Informa.on Retrieval. David Smith College of Computer and Informa.on Science Northeastern University CS6200 Informa.on Retrieval David Smith College of Computer and Informa.on Science Northeastern University Course Goals To help you to understand search engines, evaluate and compare them, and

More information

Usability analysis and inspection

Usability analysis and inspection Usability analysis and inspection Why and how? 1MD113 Why? Iterative design Prototyping Measuring usability Objective/subjective feedback Quick and dirty Slow and clean With or without users 1 Evaluation

More information

CogSysIII Lecture 9: User Modeling with GOMS

CogSysIII Lecture 9: User Modeling with GOMS CogSysIII Lecture 9: User Modeling with GOMS Human Computer Interaction Ute Schmid Applied Computer Science, University of Bamberg last change June 26, 2007 CogSysIII Lecture 9: User Modeling with GOMS

More information

Why? Usability analysis and inspection. Evaluation. Evaluation. Measuring usability. Evaluating usability

Why? Usability analysis and inspection. Evaluation. Evaluation. Measuring usability. Evaluating usability Usability analysis and inspection Why and how? Iterative design Prototyping Measuring usability Why? Objective/subjective feedback Quick and dirty Slow and clean With or without users 1MD113 Evaluation

More information

What were his cri+cisms? Classical Methodologies:

What were his cri+cisms? Classical Methodologies: 1 2 Classifica+on In this scheme there are several methodologies, such as Process- oriented, Blended, Object Oriented, Rapid development, People oriented and Organisa+onal oriented. According to David

More information

evision Review Project - Engagement Simon McLean, Head of Web & IT Support Information & Data Services.

evision Review Project - Engagement Simon McLean, Head of Web & IT Support Information & Data Services. evision Review Project - Engagement Monitoring Simon McLean, Head of Web & IT Support Information & Data Services. What is Usability? Why Bother? Types of usability testing Usability Testing in evision

More information

CS6200 Informa.on Retrieval. David Smith College of Computer and Informa.on Science Northeastern University

CS6200 Informa.on Retrieval. David Smith College of Computer and Informa.on Science Northeastern University CS6200 Informa.on Retrieval David Smith College of Computer and Informa.on Science Northeastern University Course Goals To help you to understand search engines, evaluate and compare them, and

More information

Founda'ons of So,ware Engineering. Lecture 11 Intro to QA, Tes2ng Claire Le Goues

Founda'ons of So,ware Engineering. Lecture 11 Intro to QA, Tes2ng Claire Le Goues Founda'ons of So,ware Engineering Lecture 11 Intro to QA, Tes2ng Claire Le Goues 1 Learning goals Define so;ware analysis. Reason about QA ac2vi2es with respect to coverage and coverage/adequacy criteria,

More information

Lecture 14: Heuristic Evaluation. Fall UI Design and Implementation 1

Lecture 14: Heuristic Evaluation. Fall UI Design and Implementation 1 Lecture 14: Heuristic Evaluation Fall 2006 6.831 UI Design and Implementation 1 1 UI Hall of Fame or Shame? Fall 2006 6.831 UI Design and Implementation 2 The next version of Microsoft Office (Office 2007)

More information

Why is it important to study sofware engineering?

Why is it important to study sofware engineering? Last 6me CS 521/621 Course Overview: Sta6c and Dynamic Analyses What did we talk about? Why is it important to study soware engineering? Just like cars US automobile industry used to be very complacent

More information

represen/ng the world in 1s and 0s CS 4100/5100 Founda/ons of AI

represen/ng the world in 1s and 0s CS 4100/5100 Founda/ons of AI represen/ng the world in 1s and 0s CS 4100/5100 Founda/ons of AI Announcements Assignment 2 clarifica/ons Final projects: what s next? Feedback Project Proposal Midterm Exam: October 18th ASP CLARIFICATIONS

More information

The Process of UX Design

The Process of UX Design The Process of UX Design CMPT 363 Perfection (in design) is achieved not when there is nothing more to add, but rather when there is nothing more to take away. Antoine de Saint-Exupéry What does a holis,c

More information

COGNITIVE WALKTHROUGH. Andrew Ward Pratt Institute School of Library and Information Science

COGNITIVE WALKTHROUGH. Andrew Ward Pratt Institute School of Library and Information Science COGNITIVE WALKTHROUGH Andrew Ward Pratt Institute School of Library and Information Science EXECUTIVE SUMMARY Columbia University Libraries/Information Services recently launched their Digital Libraries

More information

Large-scale Testbed and Cyber Range Organiza6on and Design

Large-scale Testbed and Cyber Range Organiza6on and Design CYBER RANGE ORGANIZATION AND DESIGN Large-scale Testbed and Cyber Range Organiza6on and Design Razvan Beuran, Ken-ichi Chinen Outline 1. Mo9va9on & overview 2. Making use of StarBED 3. Case studies 4.

More information

CPSC 444 Project Milestone III: Prototyping & Experiment Design Feb 6, 2018

CPSC 444 Project Milestone III: Prototyping & Experiment Design Feb 6, 2018 CPSC 444 Project Milestone III: Prototyping & Experiment Design Feb 6, 2018 OVERVIEW... 2 SUMMARY OF MILESTONE III DELIVERABLES... 2 1. Blog Update #3 - Low-fidelity Prototyping & Cognitive Walkthrough,

More information

L7: Tes(ng. Smoke tes(ng. The test- vee Black- box vs. white- box tes(ng Tes(ng methods. Four levels of tes(ng. Case study

L7: Tes(ng. Smoke tes(ng. The test- vee Black- box vs. white- box tes(ng Tes(ng methods. Four levels of tes(ng. Case study Smoke tes(ng L7: Tes(ng The test- vee Black- box vs. white- box tes(ng Tes(ng methods Matrix test Step- by- step test Automated test scripts Four levels of tes(ng Debugging Unit tes?ng Integra?on tes?ng

More information

CMSC434 Intro to Human-Computer Interaction. Visual Design #3 and Evaluation #1 Monday, April 8th, 2012 Instructor: Jon Froehlich TA: Kotaro Hara

CMSC434 Intro to Human-Computer Interaction. Visual Design #3 and Evaluation #1 Monday, April 8th, 2012 Instructor: Jon Froehlich TA: Kotaro Hara CMSC434 Intro to Human-Computer Interaction Visual Design #3 and Evaluation #1 Monday, April 8th, 2012 Instructor: Jon Froehlich TA: Kotaro Hara #inspiration [Applied Sciences Group: High Performance Touch,

More information

Data Quality Assessment Recommendations

Data Quality Assessment Recommendations Data Quality Assessment Recommendations Steering Commi,ee Mee.ng, August 19-20, 2014 Bethesda, MD Meredith Nahm Zozus, PhD Assoc. Director, Clinical Research Informa6cs Duke Transla6onal Medicine Ins6tute

More information

Design, prototyping and construction

Design, prototyping and construction Overview Design, prototyping and construction Prototyping and construction Conceptual design Physical design Generating prototypes Tool support What is a prototype? Why prototype? A prototype is a small-scale

More information

Addition about Prototypes

Addition about Prototypes Vorlesung Mensch-Maschine-Interaktion Evaluation Ludwig-Maximilians-Universität München LFE Medieninformatik Heinrich Hußmann & Albrecht Schmidt WS2003/2004 http://www.medien.informatik.uni-muenchen.de/

More information