Utah School of Computing HCI Validation Richard F. Riesenfeld University of Utah Fall 2009 Lecture Set 16.

Slides:



Advertisements
Similar presentations
Evaluation of User Interface Design
Advertisements

Market Research Ms. Roberts 10/12. Definition: The process of obtaining the information needed to make sound marketing decisions.
6.811 / PPAT: Principles and Practice of Assistive Technology Wednesday, 16 October 2013 Prof. Rob Miller Today: User Testing.
CS305: HCI in SW Development Evaluation (Return to…)
IS214 Recap. IS214 Understanding Users and Their Work –User and task analysis –Ethnographic methods –Site visits: observation, interviews –Contextual.
Usability and taste  Taste is subjective  but not necessarily trivial  Taste is subject to fashion  Changes over time  Influenced by other people.
WHAT IS INTERACTION DESIGN?
©2010 John Wiley and Sons Chapter 14 Research Methods in Human-Computer Interaction Chapter 14- Working with Human Subjects.
CyLab Usable Privacy and Security Laboratory 1 C yLab U sable P rivacy and S ecurity Laboratory Designing.
©N. Hari Narayanan Computer Science & Software Engineering Auburn University 1 COMP 7620 Evaluation Chapter 9.
Usability Inspection n Usability inspection is a generic name for a set of methods based on having evaluators inspect or examine usability-related issues.
Evaluation Methodologies
Usable Privacy and Security Carnegie Mellon University Spring 2008 Lorrie Cranor 1 Designing user studies February.
1 CS 430 / INFO 430 Information Retrieval Lecture 24 Usability 2.
An evaluation framework
1 User Centered Design and Evaluation. 2 Overview My evaluation experience Why involve users at all? What is a user-centered approach? Evaluation strategies.
Chapter 3 Preparing and Evaluating a Research Plan Gay and Airasian
User Interface Evaluation CIS 376 Bruce R. Maxim UM-Dearborn.
Research Methods AP Psych – Chapter 2 Psychology’s Scientific Method
© 2011 The McGraw-Hill Companies, Inc. Chapter 2 Psychology’s Scientific Method.
1 Usability evaluation and testing User interfaces Jaana Holvikivi Metropolia.
Evaluation: Controlled Experiments Chris North cs3724: HCI.
Predictive Evaluation
Conducting a User Study Human-Computer Interaction.
Evaluation Framework Prevention vs. Intervention CHONG POH WAN 21 JUNE 2011.
Chapter 11: An Evaluation Framework Group 4: Tony Masi, Sam Esswein, Brian Rood, & Chris Troisi.
Utah School of Computing HCI Validation Richard F. Riesenfeld University of Utah Fall 2004.
Chapter 4 Expert Reviews, Usability, Testing, Surveys, and Continuing Assessments Saba Alavi,Jacob Hicks,Victor Chen.
Epidemiology Literature Critique Outline and guidelines.
Multimedia Specification Design and Production 2013 / Semester 1 / week 9 Lecturer: Dr. Nikos Gazepidis
Fall 2002CS/PSY Empirical Evaluation Analyzing data, Informing design, Usability Specifications Inspecting your data Analyzing & interpreting results.
Human Computer Interaction
Interface Design Natural Design. What is natural design? Intuitive Considers our learned behaviors Naturally designed products are easy to interpret and.
Usability Testing CS774 Human Computer Interaction Spring 2004.
Methodology and Explanation XX50125 Lecture 3: Usability testing Dr. Danaë Stanton Fraser.
Level 2 Prepared by: RHR First Prepared on: Nov 23, 2006 Last Modified on: Quality checked by: MOH Copyright 2004 Asia Pacific Institute of Information.
Evaluation of User Interface Design 4. Predictive Evaluation continued Different kinds of predictive evaluation: 1.Inspection methods 2.Usage simulations.
Usability Testing Chris North cs3724: HCI. Presentations karen molye, steve kovalak Vote: UI Hall of Fame/Shame?
Cmpe 589 Spring Sampling Target population Cost Sample is representative of population (measure statistical average age is 37- if you get 20 for.
Chapter 15: Analytical evaluation. Inspections Heuristic evaluation Walkthroughs.
Chapter 15: Analytical evaluation Q1, 2. Inspections Heuristic evaluation Walkthroughs Start Q3 Reviewers tend to use guidelines, heuristics and checklists.
Usability Engineering Dr. Dania Bilal IS 582 Spring 2006.
Copyright © Allyn & Bacon 2008 Intelligent Consumer Chapter 14 This multimedia product and its contents are protected under copyright law. The following.
SCIENCE The aim of this tutorial is to help you learn to identify and evaluate scientific methods and assumptions.
EVALUATION PROfessional network of Master’s degrees in Informatics as a Second Competence – PROMIS ( TEMPUS FR-TEMPUS-JPCR)
Usability Engineering Dr. Dania Bilal IS 592 Spring 2005.
Utah School of Computing CS5540 Human Computer Interfaces Rich Riesenfeld (w Margaret Jelinek Lewis, PhD in Psychology) Fall 2009 CS5540 Human Computer.
1 Usability evaluation and testing User interfaces Jaana Holvikivi Metropolia.
Oct 211 The next two weeks Oct 21 & 23: Lectures on user interface evaluation Oct 28: Lecture by Dr. Maurice Masliah No office hours (out of town) Oct.
Introduction to Evaluation “Informal” approaches.
User Interface Evaluation Introduction Lecture #15.
Lecture №4 METHODS OF RESEARCH. Method (Greek. methodos) - way of knowledge, the study of natural phenomena and social life. It is also a set of methods.
Evaluating the Usability of Web-based Applications A Case Study of a Field Study Sam J. Racine, PhD Unisys Corporation.
Usability Engineering Dr. Dania Bilal IS 582 Spring 2007.
Established standards of care given with respect and consideration, regardless of race, age, or payment source. Information about your illness, possible.
Introducing Evaluation Chapter 12. What is Evaluation?  Assessing and judging  Reflecting on what it is to be achieved  Assessing the success  Identifying.
1 Usability Analysis n Why Analyze n Types of Usability Analysis n Human Subjects Research n Project 3: Heuristic Evaluation.

User Interface Evaluation
SIE 515 Design Evaluation Lecture 7.
Usability Testing 3 CPSC 481: HCI I Fall 2014 Anthony Tang.
Evaluation techniques
WHAT IS INTERACTION DESIGN?
Usability Techniques Lecture 13.
Chapter 26 Inspections of the user interface
Evaluation.
HCI Evaluation Techniques
Introducing Evaluation
Human-Computer Interaction: Overview of User Studies
Chapter 14 INTRODUCING EVALUATION
Presentation transcript:

Utah School of Computing HCI Validation Richard F. Riesenfeld University of Utah Fall 2009 Lecture Set 16

Utah School of Computing slide 2 Student Name Server Fall 2009 Major Considerations - 1 Stage of design -Conceptual, preliminary, detail Novelty of project -Do we know what we are doing? Number of expected users -How important is this? -How amenable to change will it be?

Utah School of Computing slide 3 Student Name Server Fall 2009 Major Considerations - 2 Criticality of the interface -Are lives at stake if there are problems? Cost of product -Allocation for testing Time available for testing Experience of designers and evaluators

Utah School of Computing slide 4 Student Name Server Fall 2009 Expert Review methods - 1 Heuristic evaluation -Experts critique it wrt established criteria Guidelines review -Does it meet “spec” -Can be an overwhelming list -Bureaucratic approach

Utah School of Computing slide 5 Student Name Server Fall 2009 Expert Review methods - 2 Consistency inspection -Experts check of style, function, form, etc. Cognitive walkthrough -Experts perform role of users -Try to assess its success from experience

Utah School of Computing slide 6 Student Name Server Fall 2009 Expert Review methods - 3 Formal usability inspection -Moot court -Countervailing opinions -Can be unweildy

Utah School of Computing slide 7 Student Name Server Fall 2009 Comparative Evaluations - 1 Different experts see different issues -Can get caught with conflicting advice* -Limit the number of experts Get a “bird’s-eye” view in the beginning -Throw images on a wall, etc. * “ * “ For every PhD, there is an equal and opposite PhD”

Utah School of Computing slide 8 Student Name Server Fall 2009 Comparative Evaluations - 2 Formal (statistical) methods -Form a hypothesis -Determine dependent variables -Identify independent variables * “

Utah School of Computing slide 9 Student Name Server Fall 2009 Usability Labs, etc Hard to employ because of time and money constraints in product development -Development cycle schedule -Budgets -Corporate/Cultural Attitude

Utah School of Computing slide 10 Student Name Server Fall 2009 Controlled Experients Statistical testing -Establish level of statistical significance -At the 95% confidence level we know… Usability testing -Find flaws in the interface through more informal (inconclusive) methods -Empirical methods

Utah School of Computing slide 11 Student Name Server Fall 2009 Human Subjects -1 Careful, “This isn’t Kansas anymore!” Many new dimensions need attention Human respect and dignity -Voice generated check outs violated privacy  Military has NO privacy  Other cultures treat matters differently

Utah School of Computing slide 12 Student Name Server Fall 2009 Human Subjects -2 Real LEGAL issues, so get it right! -Informed consent -Understand your liability -Get it in writing, copy to each party Government, or institutional rules -We are not accustomed to this -Need cognizant approvals  IRBs, etc.  Research proposals, etc

Utah School of Computing slide 13 Student Name Server Fall 2009 Observations methods Have subjects “think aloud” -Will subjects be honest, etc. Use video recording Field tests -Study the successes/failures of the interface -Getting access -Reliance on memories  “How is it going?” (We tend to react to most recent)

Utah School of Computing slide 14 Student Name Server Fall 2009 Destructive Testing Hey, can you break this? Good for security Good for games Durability testing appropriate for some environments -ATM in high crime area -Military -Students, they can’t resist a challenge

Utah School of Computing slide 15 Student Name Server Fall 2009 Competitive Testing -1 Consumers Union, Road & Track, style -Take several into lab and have a “shoot out” Expensive Takes skill (like a movie review) -Depends on the criteria -Depends on good and representative judgment

Utah School of Computing slide 16 Student Name Server Fall 2009 Competitive Testing -2 Major Limitations -Limited coverage of features -Depends on initial user experiences

Utah School of Computing slide 17 Student Name Server Fall 2009 Surveys Tricky business, can lead to nearly any conclusion -Population selection -Question choices -Size -Leading questions, other bias Negative bias – users with complaints

Utah School of Computing slide 18 Student Name Server Fall 2009 Online Surveys More issues…

Utah School of Computing slide 19 Student Name Server Fall 2009 Conclusions HCI is a new game Not exact science Old methods not entirely applicable Need newer, faster, light weight, flexible, informal, subjective, intelligent approaches

Utah School of Computing slide 20 Student Name Server Fall 2009 Recommendations Use good judgment Trust good judgment -Yours -Others, whom you trust Be open to criticism and suggestion

Utah School of Computing slide 21 Student Name Server Fall 2009 Interpretation What is being said? What is the real issue? What is the real fix? RSI is a problem -Pain -Was cause keyboard or mouse? -Need different devices, or speech, or simply a better mouse and keyboard?

Utah School of Computing END HCI Validation End Lecture Set 16